DDI_MWI_2009-2010_TPCS_v01_M_WB
Development Economics Data Group
2017-10-23
NADA
Version 01 (October 2017)
Time Preference & Cognition Survey 2009 - 2010
TPCS 2009 - 2010
MWI_2009-2010_TPCS_v01_M
Xavier Giné
Jessica Goldberg
Dan Silverman
Dean Yang
NADA
Microdata Library
DECRG: Finance & Private Sector Development
Other Household Survey [hh/oth]
The baseline survey was conducted from January- February 2009, while the revisit was conducted in March - April 2010.
The data accompanies the paper: Revising Commitments: Field Evidence on the Adjustment of Prior Choices. The very poor in developing countries often make intertemporal choices that seem at odds with their individual self-interest. We investigate these choices with a lab-in-the-field experiment in rural Malawi. We make two contributions. First, we construct a new dependent variable: revisions of prior choices regarding the allocation of future income. This allows us to directly examine intertemporal choice revision and its determinants. In particular, this dependent variable permits a novel test for the existence of self-control problems: we find that revisions of money allocations toward the present are positively correlated with present-bias as well as the (randomly assigned) closeness in time between the revision decision and disbursement. Second, we investigate other potential determinants of revision. We find little evidence that revisions of money allocations toward the present are associated with spousal preferences, household shocks or the financial sophistication of respondents.
Malawi
Rural Malawi - within 25 kilometres of the town of Mponela, Dowa District.
Individuals
Households
Participants in our study were farmers under contract with (the subsidiaries of) two large tobacco companies in the 2008–9 growing season. The companies organised the farmers into clubs that range in size from 3 to 43 members. To facilitate timely revisiting, we limited our sample to those farmers located near a main trading centre in the town of Mponela (population 13,670), and who lived in six traditional authorities (TAs) in the Dowa and Ntchisi districts. To allow relatively easy access to participants and to facilitate their access to the cash disbursements, we included all farmers in these TAs that were 2008–9 members of clubs in which the median club member lives 25 kilometres or less from the disbursement office, located in Mponela.
Sample survey data [ssd]
The scope of the Time Preference & Cognition Survey includes:
- Baseline: Demographics; Time Preference; Risk; Word Recall; Numeracy and cognition; Raven's Test; Planned Expenditures; Transfers Received; Transfers made; Livestock; Assets; Income; Savings.
- Revisit: Planned Expenditures; Transfers Received; Transfers made; Life Events; Livestock; Assets; Income; Savings.
Participants in the experiment were recruited in January and February 2010 from a population of rural households in central Malawi who were growing tobacco as their main cash crop. Participants were a subset of respondents who were participating in another simultaneous experiment on savings.14 To be eligible for inclusion in this experiment, respondents had to be located within 25 kilometres of the town of Mponela, to facilitate our cash disbursements. Due to our interest in interactions within the household, we further restricted our sample to farmers who were part of a married couple.
These sample restrictions left us with 1,268 targeted households. A total of 1,071 households (84.4%) and 2,142 respondents were successfully interviewed at baseline. A subset of 661 respondents (randomly selected from the full set of baseline respondents) make up the stage two sample to be revisited.
Face-to-face [f2f]
The questionnaires for the Time Preference & Cognition Survey 2009 - 2010 are organized into baseline and revisit questionnaires.These are available under the Related Materials tab.
Microdata Library
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Example: X. Giné., Goldberg, J., Silverman, D., Yang, D. Time Preference & Cognition Survey 2009 - 2010. Ref. MWI_2009-2010_TPCS_v01_M. Downloaded from [URL] on [Date].
- Public use files, accessible to all
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
GGSY_data
GGSY_data.dta: This file contains data from an artefactual field experiment in Malawi that measures time preferences and revision behavior. The sample consists of several hundred wife-husband pairs in rural Malawi. Intertemporal choices are elicited by adapting Andreoni and Sprenger's (2012) convex time budget method, with large real stakes (roughly a month's wages). Subjects decide five potential allocations of money to be disbursed at two points, 61 or 91 days, in the future for the corresponding interest rates: 10%, 25%, 50%, 75%, and 100%. A subset of these subjects was revisited some time prior to the first disbursement at t=61 days and given the opportunity to revise their allocation between sooner or later. Dataset contains N=10,710 decisions (i.e., five allocations and associated interest rate for 2,142 subjects in the study).
2157
398
GGSY_data_long
The dataset “GGSY_data_long” contains the exact same data but in a different format. Participants are asked to make a series of 5 decisions, where the only variable that is changed is the interest rate. The dataset “GGSY_data_long” contains 10,710 observations, where each observation one of these decisions (2,142 individuals * 5 decisions = 10,710 observations).
10710
375
sim_data
Simulated data: This file is called by sim random.do
2157
29
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
2157
1234581011
3259365102
Household ID
Household ID
Household ID
Household ID
Household ID
2157
123458101
325936510
respid 225977704 was not interviewed at the time of the baseline. His name was used by someone else (Thenford Mphonje).
respid 225148809 is in another club (Mtidzutse) where he is known as Gift Mwale.
respid 225299105 used 2 names, Chenjerani Banda, is a fake name. 225299103 is the correct observation.
respid 225951806, Tsilizani Lungu, is a fake name. Joseph Zeka (225951801) is the correct observation.
respid 225950401 used 2 names, Davie Mwale, is son's name. Nefitale Mwale is the correct respondent.
respid 226020201 (Gift Mwale) also in Mtidutse club under the same name. Other respid is 225977908.
Wrong respid was written on the pages of respid 141049905 (Kasten Zola)...check 141049917.
141050407 DD section was completed instead of SP section.
290197709 Unclear if this respondent was the one interviewed at baseline. wrong HH members.
Member of another club (Mtidutse club). Unclear what name he used in Mtidutse club.
226007204 Refused to be interviewed because he said he was not interviewed at baseline. Said that account form was filled out but account was never opened.
225147504 Dickson used the name Elack Banda but moved to Chamanda. Bashiri Banda used name Elack too.
141042502 The respondent was already out of the club in the harvesting season of 2009.
225301302 The original respondent (Sunganani Banda) is crossed out and written as deceased, but still appears on the roster.
141099115 Respondent name does not match any of the names on the roster.
141026617 Interview partially complete.
Days to first disbursement at revisit (target)
Days to first disbursement at revisit (target)
Days to first disbursement at revisit (target)
Days to first disbursement at revisit (target)
Days to first disbursement at revisit (target)
722
1435
2
16
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
Sysmiss
Days to first disbursement at revisit (actual)
Days to first disbursement at revisit (actual)
Days to first disbursement at revisit (actual)
Days to first disbursement at revisit (actual)
Days to first disbursement at revisit (actual)
662
1495
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
Sysmiss
Initial sooner allocation (value, MK)
Initial sooner allocation (value, MK)
Initial sooner allocation (value, MK)
Initial sooner allocation (value, MK)
Initial sooner allocation (value, MK)
Initial allocation and total value of beans in sooner period
722
1435
2000
Initial later allocation (beans)
Initial later allocation (beans)
Initial later allocation (beans)
Initial later allocation (beans)
Initial later allocation (beans)
Initial allocation and total value of beans in later period
722
1435
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
Sysmiss
Initial later allocation (value, MK)
Initial later allocation (value, MK)
Initial later allocation (value, MK)
Initial later allocation (value, MK)
Initial later allocation (value, MK)
Initial allocation and total value of beans in sooner period
722
1435
4000
Final sooner allocation (MK)
Final sooner allocation (MK)
Final sooner allocation (MK)
Final sooner allocation (MK)
Final sooner allocation (MK)
663
1494
2400
Final later allocation (MK)
Final later allocation (MK)
Final later allocation (MK)
Final later allocation (MK)
Final later allocation (MK)
Final allocation of beans in later period
663
1494
4000
Expenditure in April on food
Expenditure in April on food
Expenditure in April on food
Expenditure in April on food
Expenditure in April on food
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
1314
843
100000
-77777
NOT APPLICABLE
-88
DON'T KNOW
100
150
200
220
240
250
300
350
400
410
450
500
510
550
600
640
650
660
700
750
800
850
900
950
1000
1100
1200
1250
1260
1300
1400
1500
1550
1600
1700
1760
1800
1900
1960
2000
2100
2180
2200
2250
2300
2400
2480
2500
2600
2620
2700
2750
2800
2850
2900
3000
3200
3280
3400
3420
3500
3600
3700
3800
4000
4200
4300
4400
4500
4700
4800
5000
5200
5600
6000
6400
6500
6700
6950
7000
7500
8000
8500
9000
9500
10000
11000
12000
15000
16000
20000
21000
23000
25000
30000
35000
40000
50000
70000
100000
Sysmiss
Expenditure in May on food
Expenditure in May on food
Expenditure in May on food
Expenditure in May on food
Expenditure in May on food
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
1314
843
50000
-77777
NOT APPLICABLE
-88
DON'T KNOW
100
200
220
300
350
360
400
450
500
560
600
700
750
800
900
950
1000
1100
1200
1250
1300
1400
1500
1600
1700
1800
1840
1960
2000
2100
2180
2250
2400
2500
2620
2700
2800
2850
2900
3000
3200
3280
3400
3500
3600
3650
3700
3750
3800
3900
4000
4500
4600
4700
4800
5000
5300
5500
5600
6000
6800
7000
7500
8000
9000
9500
10000
10425
11000
12000
13000
15000
16000
17250
20000
23000
25000
30000
40000
45000
50000
Sysmiss
Expenditure in June on food
Expenditure in June on food
Expenditure in June on food
Expenditure in June on food
Expenditure in June on food
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
1314
843
100000
-77777
NOT APPLICABLE
-88
DON'T KNOW
100
200
220
300
400
450
480
500
600
700
800
870
900
1000
1200
1300
1400
1480
1500
1600
1700
1750
1800
1900
2000
2100
2180
2200
2400
2500
2560
2600
2620
2700
2800
2850
2900
3000
3200
3280
3300
3400
3500
3600
3700
3800
4000
4200
4500
4600
5000
5500
6000
7000
7400
7500
7750
8000
9000
10000
10425
11000
12000
15000
16000
18000
20000
23000
25000
27000
30000
35000
50000
60000
100000
Sysmiss
Expenditure in July on food
Expenditure in July on food
Expenditure in July on food
Expenditure in July on food
Expenditure in July on food
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
1314
843
100000
-77777
NOT APPLICABLE
-88
DON'T KNOW
100
200
220
250
300
350
400
500
600
700
750
800
900
1000
1140
1200
1300
1400
1460
1500
1600
1640
1700
1800
1900
2000
2100
2180
2200
2250
2300
2400
2500
2560
2600
2620
2700
2800
2850
2900
3000
3050
3200
3280
3300
3400
3500
3700
3800
3880
4000
4200
4500
4600
4800
5000
5400
5500
6000
6500
7000
7500
8000
9000
9500
10000
10425
10500
11000
12000
13000
14000
15000
16000
18000
20000
23000
25000
30000
35000
50000
60000
100000
Sysmiss
Expenditure in August on food
Expenditure in August on food
Expenditure in August on food
Expenditure in August on food
Expenditure in August on food
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
1314
843
100000
Expenditure in April on medicine
Expenditure in April on medicine
Expenditure in April on medicine
Expenditure in April on medicine
Expenditure in April on medicine
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
1314
843
35000
-77777
NOT APPLICABLE
-88
DON'T KNOW
20
25
40
50
60
80
90
100
120
150
180
200
250
300
350
380
400
450
480
500
550
600
650
700
800
900
950
1000
1200
1300
1450
1500
1600
1700
1800
2000
2500
2800
3000
3500
4000
4500
5000
5500
6000
7000
8000
10000
12000
20000
35000
Sysmiss
Expenditure in May on medicine
Expenditure in May on medicine
Expenditure in May on medicine
Expenditure in May on medicine
Expenditure in May on medicine
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
1314
843
45000
-77777
NOT APPLICABLE
-88
DON'T KNOW
10
20
30
40
50
60
70
80
100
120
150
170
200
250
300
320
350
400
450
480
500
550
600
650
700
750
760
800
850
900
950
1000
1200
1300
1400
1500
1600
1800
2000
2200
2500
2800
2900
3000
3200
3500
3700
3800
4000
4500
5000
6000
6500
7000
8000
10000
11000
12000
15000
30000
40000
45000
Sysmiss
Expenditure in June on medicine
Expenditure in June on medicine
Expenditure in June on medicine
Expenditure in June on medicine
Expenditure in June on medicine
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
1314
843
45000
-77777
NOT APPLICABLE
-88
DON'T KNOW
20
30
50
60
80
100
150
180
200
250
300
330
350
390
400
410
450
500
550
600
650
700
750
800
850
900
1000
1100
1200
1300
1400
1500
1600
1700
1800
1900
2000
2300
2400
2500
2900
3000
3400
3500
4000
4300
4500
5000
5600
6000
7000
8000
9000
10000
12000
15000
40000
45000
Sysmiss
Expenditure in July on medicine
Expenditure in July on medicine
Expenditure in July on medicine
Expenditure in July on medicine
Expenditure in July on medicine
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
1314
843
60000
-77777
NOT APPLICABLE
-88
DON'T KNOW
20
40
50
70
80
90
100
150
200
250
280
300
350
360
370
400
450
500
550
600
650
700
750
800
850
900
950
1000
1100
1200
1300
1400
1500
1700
1800
1900
2000
2300
2400
2500
2700
2800
2900
3000
3100
3300
3400
3500
3600
3800
4000
4500
5000
5500
5600
6000
6500
7000
8000
9000
10000
11000
12000
15000
20000
35000
45000
50000
60000
Sysmiss
Expenditure in August on medicine
Expenditure in August on medicine
Expenditure in August on medicine
Expenditure in August on medicine
Expenditure in August on medicine
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
1314
843
-99999
70000
Expenditure in April on school fees
Expenditure in April on school fees
Expenditure in April on school fees
Expenditure in April on school fees
Expenditure in April on school fees
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
1314
843
305000
-77777
NOT APPLICABLE
-88
DON'T KNOW
30
100
150
200
300
400
450
500
750
800
1000
1050
1200
1300
1500
1700
1740
1750
1800
1850
1900
2000
2100
2200
2250
2360
2400
2500
2700
2800
3000
3400
3500
3600
3800
4000
4060
4150
4400
4500
5000
5400
5500
6000
7000
7500
7800
8000
8250
8500
8700
8750
9000
9500
10000
11000
11500
11800
15000
24000
26000
26500
30000
50000
85000
305000
Sysmiss
Expenditure in May on school fees
Expenditure in May on school fees
Expenditure in May on school fees
Expenditure in May on school fees
Expenditure in May on school fees
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
1314
843
20000
-77777
NOT APPLICABLE
-88
DON'T KNOW
100
150
200
250
300
450
500
800
1000
1500
1700
1800
2000
2050
2100
2140
2200
2250
2400
2500
2700
3000
3800
4000
4060
4400
4500
5000
6000
6500
7500
7550
7800
7950
8000
8500
8600
9500
10000
13200
15000
20000
Sysmiss
Expenditure in June on school fees
Expenditure in June on school fees
Expenditure in June on school fees
Expenditure in June on school fees
Expenditure in June on school fees
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
1314
843
56000
-77777
NOT APPLICABLE
-88
DON'T KNOW
100
150
200
250
300
450
500
800
900
1000
1200
1300
1500
1550
1700
1750
1800
1850
1900
2000
2030
2050
2250
2300
2350
2400
2450
2500
2590
2600
2700
2800
3000
3400
3500
3600
3800
3900
4000
4060
4200
4400
4500
5000
5500
5700
6000
6500
6900
7000
7250
7500
7750
8000
8500
8950
9000
9800
10000
10200
11000
14000
15000
18000
24000
28000
30000
50000
56000
Sysmiss
Expenditure in July on school fees
Expenditure in July on school fees
Expenditure in July on school fees
Expenditure in July on school fees
Expenditure in July on school fees
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
1314
843
305000
-77777
NOT APPLICABLE
-88
DON'T KNOW
100
150
200
250
300
450
500
1000
1200
1300
1500
1700
1740
1750
1800
1900
2000
2030
2050
2100
2200
2250
2500
2850
3000
3500
3800
4000
4200
4400
4500
5000
5400
5500
6000
7500
7800
8000
8500
8700
9000
9500
10000
11000
11500
11800
12000
26000
26500
85000
305000
Sysmiss
Expenditure in August on school fees
Expenditure in August on school fees
Expenditure in August on school fees
Expenditure in August on school fees
Expenditure in August on school fees
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
1314
843
85000
Expenditure in April on farm expenditures
Expenditure in April on farm expenditures
Expenditure in April on farm expenditures
Expenditure in April on farm expenditures
Expenditure in April on farm expenditures
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
1314
843
-99999
100000
-99999
-77777
NOT APPLICABLE
-88
DON'T KNOW
200
300
400
500
600
650
700
800
850
900
950
1000
1200
1300
1400
1500
1600
1700
1800
1900
2000
2250
2300
2400
2500
2700
2800
3000
3400
3500
3600
3950
4000
4500
4800
5000
5400
5500
5600
5700
5800
6000
6800
7000
7500
7800
8000
9000
10000
11000
12000
13000
13600
14000
15000
20000
25000
30000
35000
75000
95000
99000
100000
Sysmiss
Expenditure in May on farm expenditures
Expenditure in May on farm expenditures
Expenditure in May on farm expenditures
Expenditure in May on farm expenditures
Expenditure in May on farm expenditures
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
1314
843
-99999
100000
-99999
-77777
NOT APPLICABLE
-88
DON'T KNOW
150
200
250
280
300
400
500
600
650
700
750
800
900
1000
1100
1200
1300
1400
1500
1600
1650
1700
1800
2000
2100
2200
2300
2500
2600
2700
2800
2900
3000
3200
3500
3600
3700
4000
4200
4400
4500
4700
5000
5500
5700
5800
6000
6500
7000
7500
7700
8000
9000
10000
11000
12000
13000
14000
15000
18000
20000
24000
25000
30000
35000
50000
100000
Sysmiss
Expenditure in June on farm expenditures
Expenditure in June on farm expenditures
Expenditure in June on farm expenditures
Expenditure in June on farm expenditures
Expenditure in June on farm expenditures
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
1314
843
-99999
150000
-99999
-77777
NOT APPLICABLE
-88
DON'T KNOW
100
150
200
250
280
300
400
450
500
600
650
700
800
900
1000
1200
1300
1350
1400
1500
1700
1800
2000
2050
2500
2600
2800
3000
3400
3500
3600
3750
3800
4000
4500
4800
5000
5300
5500
5600
6000
6500
7000
7500
8000
8700
9000
10000
10500
11000
12000
13000
15000
16000
20000
22000
25000
30000
32000
35000
37000
40000
44200
60000
70000
100000
105000
150000
Sysmiss
Expenditure in july on farm expenditures
Expenditure in july on farm expenditures
Expenditure in july on farm expenditures
Expenditure in july on farm expenditures
Expenditure in july on farm expenditures
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
1314
843
-99999
205000
-99999
-77777
NOT APPLICABLE
-88
DON'T KNOW
200
250
300
350
400
450
500
600
700
750
800
900
1000
1200
1400
1500
1600
1700
1800
1900
2000
2200
2300
2500
2700
2800
2950
3000
3500
4000
5000
5500
5800
6000
6300
7000
7500
8000
8500
9000
9500
10000
10500
11000
11500
12000
13000
14000
15000
15700
17000
18000
18450
19000
20000
25000
30000
31000
32000
35000
37000
40000
45000
50000
205000
Sysmiss
Expenditure in August on farm expenditures
Expenditure in August on farm expenditures
Expenditure in August on farm expenditures
Expenditure in August on farm expenditures
Expenditure in August on farm expenditures
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
1314
843
-99999
300000
Expenditure in April on transport
Expenditure in April on transport
Expenditure in April on transport
Expenditure in April on transport
Expenditure in April on transport
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
1314
843
-99999
50000
-99999
-77777
NOT APPLICABLE
-88
DON'T KNOW
150
200
250
300
350
400
450
500
600
670
700
750
800
850
900
1000
1150
1200
1250
1300
1350
1400
1500
1600
1700
1800
2000
2300
2400
2500
2600
2800
2900
3000
3200
3500
3600
3700
3900
4000
4500
4900
5000
6000
6500
7000
7500
8000
9000
9500
10000
11500
12000
13000
15000
17000
25000
30000
50000
Sysmiss
Expenditure in May on transport
Expenditure in May on transport
Expenditure in May on transport
Expenditure in May on transport
Expenditure in May on transport
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
1314
843
-99999
50000
-99999
-77777
NOT APPLICABLE
-88
DON'T KNOW
100
150
200
250
300
350
400
450
470
500
600
650
700
750
800
900
950
1000
1100
1200
1300
1400
1500
1600
1650
1700
1800
2000
2060
2100
2200
2300
2400
2500
2600
2700
2800
2900
3000
3200
3400
3500
3600
3700
3800
4000
4500
5000
5250
5500
6000
6050
7000
7500
8000
9000
9600
10000
10500
12000
13000
15000
17000
20000
30000
35000
50000
Sysmiss
Expenditure in June on transport
Expenditure in June on transport
Expenditure in June on transport
Expenditure in June on transport
Expenditure in June on transport
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
1314
843
-99999
80000
-99999
-77777
NOT APPLICABLE
-88
DON'T KNOW
100
200
250
300
350
400
450
470
500
560
600
650
700
750
800
900
950
1000
1200
1300
1350
1400
1500
1600
1700
1800
1900
2000
2200
2300
2400
2500
2600
2800
3000
3300
3500
3800
4000
4300
4500
4600
4800
5000
6000
6400
6500
7000
7300
8000
9000
10000
10500
12000
14000
15000
20000
25000
40000
50000
80000
Sysmiss
Expenditure in July on transport
Expenditure in July on transport
Expenditure in July on transport
Expenditure in July on transport
Expenditure in July on transport
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
1314
843
-99999
50000
-99999
-77777
NOT APPLICABLE
-88
DON'T KNOW
80
100
150
170
200
250
300
350
400
450
500
600
700
750
760
770
800
850
900
950
1000
1100
1150
1200
1250
1300
1400
1500
1600
1700
1800
2000
2200
2400
2500
2600
2700
2800
3000
3200
3500
3800
4000
4500
4800
5000
5400
5500
5600
6000
6400
6500
7000
8000
8800
10000
11000
12000
13500
15000
20000
25000
40000
50000
Sysmiss
Expenditure in August on transport
Expenditure in August on transport
Expenditure in August on transport
Expenditure in August on transport
Expenditure in August on transport
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
1314
843
-99999
50000
Expenditure in April on other household items
Expenditure in April on other household items
Expenditure in April on other household items
Expenditure in April on other household items
Expenditure in April on other household items
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
1314
843
-99999
100000
-99999
-77777
NOT APPLICABLE
-88
DON'T KNOW
60
90
100
120
150
160
190
200
230
240
250
300
350
400
450
480
500
540
550
600
640
650
670
700
750
800
850
900
950
1000
1010
1050
1100
1150
1200
1250
1300
1400
1500
1600
1700
1800
1900
2000
2050
2100
2300
2500
2600
2700
2800
2900
3000
3500
3800
4000
4500
4800
5000
5500
6000
6500
7000
8000
9000
10000
11000
12000
14000
15000
20000
22000
25000
28000
30000
45000
50000
58000
62000
70000
80000
95000
100000
Sysmiss
Expenditure in May on other household items
Expenditure in May on other household items
Expenditure in May on other household items
Expenditure in May on other household items
Expenditure in May on other household items
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
1314
843
-99999
200000
-99999
-77777
NOT APPLICABLE
-88
DON'T KNOW
50
60
80
100
105
150
160
200
250
300
307
350
360
400
450
480
500
550
570
600
650
700
720
750
800
850
900
950
1000
1010
1100
1150
1200
1300
1350
1400
1500
1600
1700
1800
1950
2000
2050
2100
2200
2300
2400
2500
2600
2700
2800
3000
3200
3500
3800
4000
4080
4500
4800
5000
5500
5700
6000
6500
7000
7500
8000
9000
10000
11000
11500
12000
13000
14000
15000
16000
18000
20000
24000
25000
30000
33000
35000
40000
45000
48000
50000
60000
89000
90000
100000
120000
200000
Sysmiss
Expenditure in June on other household items
Expenditure in June on other household items
Expenditure in June on other household items
Expenditure in June on other household items
Expenditure in June on other household items
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
1314
843
-99999
200000
-99999
-77777
NOT APPLICABLE
-88
DON'T KNOW
60
70
100
105
150
180
200
250
300
350
400
450
480
500
520
550
600
650
700
750
800
900
950
1000
1100
1150
1200
1300
1350
1400
1500
1600
1700
1800
1900
2000
2100
2400
2500
2700
2800
3000
3100
3500
3600
3800
4000
4300
4500
4600
4700
5000
6000
6500
7000
8000
8500
9000
9400
10000
11000
12000
14000
15000
16000
17000
20000
20500
22000
25000
26000
30000
30900
35000
36000
40000
45000
48000
50000
60000
65000
70000
80000
85000
90000
100000
200000
Sysmiss
Expenditure in July on other household items
Expenditure in July on other household items
Expenditure in July on other household items
Expenditure in July on other household items
Expenditure in July on other household items
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
1314
843
-99999
160000
-99999
-77777
NOT APPLICABLE
-88
DON'T KNOW
60
100
150
160
190
200
250
300
350
400
450
480
500
550
600
700
750
800
895
900
950
980
1000
1100
1150
1200
1290
1300
1400
1500
1550
1600
1700
1750
1800
2000
2050
2300
2400
2500
2600
2700
2800
3000
3100
3300
3500
3600
3800
4000
4200
4500
4800
5000
5500
6000
6500
6700
7000
7500
8000
9000
9700
10000
10500
11000
12000
14000
15000
18000
19000
20000
24000
25000
28000
30000
35000
40000
48000
50000
60000
80000
100000
160000
Sysmiss
Expenditure in August on other household items
Expenditure in August on other household items
Expenditure in August on other household items
Expenditure in August on other household items
Expenditure in August on other household items
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
1314
843
-99999
200000
How many days in April did you have less than 3 meals?
How many days in April did you have less than 3 meals?
How many days in April did you have less than 3 meals?
How many days in April did you have less than 3 meals?
How many days in April did you have less than 3 meals?
Section B (Revisit Questionnaire)
B2. How many days in [MONTH] will you have less than 3 meals in a day?
1314
843
30
How many days in May did you have less than 3 meals?
How many days in May did you have less than 3 meals?
How many days in May did you have less than 3 meals?
How many days in May did you have less than 3 meals?
How many days in May did you have less than 3 meals?
Section B (Revisit Questionnaire)
B2. How many days in [MONTH] will you have less than 3 meals in a day?
1314
843
31
How many days in June did you have less than 3 meals?
How many days in June did you have less than 3 meals?
How many days in June did you have less than 3 meals?
How many days in June did you have less than 3 meals?
How many days in June did you have less than 3 meals?
Section B (Revisit Questionnaire)
B2. How many days in [MONTH] will you have less than 3 meals in a day?
1314
843
31
How many days in July did you have less than 3 meals?
How many days in July did you have less than 3 meals?
How many days in July did you have less than 3 meals?
How many days in July did you have less than 3 meals?
How many days in July did you have less than 3 meals?
Section B (Revisit Questionnaire)
B2. How many days in [MONTH] will you have less than 3 meals in a day?
1314
843
-9
31
How many days in August did you have less than 3 meals?
How many days in August did you have less than 3 meals?
How many days in August did you have less than 3 meals?
How many days in August did you have less than 3 meals?
How many days in August did you have less than 3 meals?
Section B (Revisit Questionnaire)
B2. How many days in [MONTH] will you have less than 3 meals in a day?
1314
843
-9
31
How many days in April did children have less than 3 meals?
How many days in April did children have less than 3 meals?
How many days in April did children have less than 3 meals?
How many days in April did children have less than 3 meals?
How many days in April did children have less than 3 meals?
Section B (Revisit Questionnaire)
B3. How many days in [MONTH] will you have less than 3 meals in a day?
1314
843
-7
31
How many days in May did children have less than 3 meals?
How many days in May did children have less than 3 meals?
How many days in May did children have less than 3 meals?
How many days in May did children have less than 3 meals?
How many days in May did children have less than 3 meals?
Section B (Revisit Questionnaire)
B3. How many days in [MONTH] will you have less than 3 meals in a day?
1314
843
-7
31
How many days in June did children have less than 3 meals?
How many days in June did children have less than 3 meals?
How many days in June did children have less than 3 meals?
How many days in June did children have less than 3 meals?
How many days in June did children have less than 3 meals?
Section B (Revisit Questionnaire)
B3. How many days in [MONTH] will you have less than 3 meals in a day?
1314
843
-7
31
How many days in July did children have less than 3 meals?
How many days in July did children have less than 3 meals?
How many days in July did children have less than 3 meals?
How many days in July did children have less than 3 meals?
How many days in July did children have less than 3 meals?
Section B (Revisit Questionnaire)
B3. How many days in [MONTH] will you have less than 3 meals in a day?
1314
843
-9
31
How many days in August did children have less than 3 meals?
How many days in August did children have less than 3 meals?
How many days in August did children have less than 3 meals?
How many days in August did children have less than 3 meals?
How many days in August did children have less than 3 meals?
Section B (Revisit Questionnaire)
B3. How many days in [MONTH] will you have less than 3 meals in a day?
1314
843
-9
99
Change in later consumption upon revisiting
Change in later consumption upon revisiting
Change in later consumption upon revisiting
Change in later consumption upon revisiting
Change in later consumption upon revisiting
663
1494
-4000
3000
Change in sooner consumption upon revisiting
Change in sooner consumption upon revisiting
Change in sooner consumption upon revisiting
Change in sooner consumption upon revisiting
Change in sooner consumption upon revisiting
663
1494
-2000
2100
revisions present biased
revisions present biased
revisions present biased
revisions present biased
revisions present biased
663
1494
1
1
Sysmiss
revisions future biased
revisions future biased
revisions future biased
revisions future biased
revisions future biased
663
1494
1
1
Sysmiss
(mean) qualflag
(mean) qualflag
(mean) qualflag
(mean) qualflag
(mean) qualflag
2142
15
1
1
Sysmiss
(mean) rlspsdiffc_f_soon
(mean) rlspsdiffc_f_soon
(mean) rlspsdiffc_f_soon
(mean) rlspsdiffc_f_soon
(mean) rlspsdiffc_f_soon
2142
15
-20
19
(mean) imple_rbasis
(mean) imple_rbasis
(mean) imple_rbasis
(mean) imple_rbasis
(mean) imple_rbasis
2078
79
-166.6
123.529
(mean) timeprefA
(mean) timeprefA
(mean) timeprefA
(mean) timeprefA
(mean) timeprefA
2142
15
1
1
Sysmiss
(mean) commitmentsavings
(mean) commitmentsavings
(mean) commitmentsavings
(mean) commitmentsavings
(mean) commitmentsavings
2142
15
1
1
Sysmiss
(mean) ordinarysavings
(mean) ordinarysavings
(mean) ordinarysavings
(mean) ordinarysavings
(mean) ordinarysavings
2142
15
1
1
Sysmiss
(mean) wealth_bline_M
(mean) wealth_bline_M
(mean) wealth_bline_M
(mean) wealth_bline_M
(mean) wealth_bline_M
2142
15
4
69502.5
Ln(baseline wealth)
Ln(baseline wealth)
Ln(baseline wealth)
Ln(baseline wealth)
Ln(baseline wealth)
2142
15
1.386
11.149
(mean) z13_day
(mean) z13_day
(mean) z13_day
(mean) z13_day
(mean) z13_day
2142
15
1
31
(mean) z13_month
(mean) z13_month
(mean) z13_month
(mean) z13_month
(mean) z13_month
2142
15
1
2
1
2
Sysmiss
Male
Male
Male
Male
Male
2142
15
1
1
Sysmiss
(mean) numinvillage
(mean) numinvillage
(mean) numinvillage
(mean) numinvillage
(mean) numinvillage
2142
15
4000
Number of relatives in the village
Number of relatives in the village
Number of relatives in the village
Number of relatives in the village
Number of relatives in the village
2142
15
132
Have adequate maize
Have adequate maize
Have adequate maize
Have adequate maize
Have adequate maize
2142
15
1
1
Sysmiss
(mean) maizemissing
(mean) maizemissing
(mean) maizemissing
(mean) maizemissing
(mean) maizemissing
2142
15
1
1
Sysmiss
Less than 35 yrs old
Less than 35 yrs old
Less than 35 yrs old
Less than 35 yrs old
Less than 35 yrs old
2142
15
1
1
Sysmiss
35-37 yrs old
35-37 yrs old
35-37 yrs old
35-37 yrs old
35-37 yrs old
2142
15
1
1
Sysmiss
(mean) older
(mean) older
(mean) older
(mean) older
(mean) older
2142
15
1
1
Sysmiss
(mean) no_school
(mean) no_school
(mean) no_school
(mean) no_school
(mean) no_school
2142
15
1
1
Sysmiss
Some primary school
Some primary school
Some primary school
Some primary school
Some primary school
2142
15
1
1
Sysmiss
Primary school
Primary school
Primary school
Primary school
Primary school
2142
15
1
1
Sysmiss
More than primary school
More than primary school
More than primary school
More than primary school
More than primary school
2142
15
1
1
Sysmiss
Words recalled
Words recalled
Words recalled
Words recalled
Words recalled
2142
15
10
1
2
3
4
5
6
7
8
9
10
Sysmiss
(mean) wrdrecal_1sq
(mean) wrdrecal_1sq
(mean) wrdrecal_1sq
(mean) wrdrecal_1sq
(mean) wrdrecal_1sq
2142
15
100
(mean) wrdrecal_2
(mean) wrdrecal_2
(mean) wrdrecal_2
(mean) wrdrecal_2
(mean) wrdrecal_2
2142
15
9
1
2
3
4
5
6
7
8
9
Sysmiss
(mean) wrdrecal_2sq
(mean) wrdrecal_2sq
(mean) wrdrecal_2sq
(mean) wrdrecal_2sq
(mean) wrdrecal_2sq
2142
15
81
(mean) rm1_correct
(mean) rm1_correct
(mean) rm1_correct
(mean) rm1_correct
(mean) rm1_correct
2142
15
1
1
Sysmiss
(mean) rm2_correct
(mean) rm2_correct
(mean) rm2_correct
(mean) rm2_correct
(mean) rm2_correct
2142
15
1
1
Sysmiss
(mean) rm3_correct
(mean) rm3_correct
(mean) rm3_correct
(mean) rm3_correct
(mean) rm3_correct
2142
15
1
1
Sysmiss
Raven's Tests correct
Raven's Tests correct
Raven's Tests correct
Raven's Tests correct
Raven's Tests correct
2142
15
3
1
2
3
Sysmiss
(mean) finlit_1
(mean) finlit_1
(mean) finlit_1
(mean) finlit_1
(mean) finlit_1
2142
15
1
1
Sysmiss
(mean) finlit_dk_1
(mean) finlit_dk_1
(mean) finlit_dk_1
(mean) finlit_dk_1
(mean) finlit_dk_1
2142
15
1
1
Sysmiss
(mean) finlit_2
(mean) finlit_2
(mean) finlit_2
(mean) finlit_2
(mean) finlit_2
2142
15
1
1
Sysmiss
(mean) finlit_dk_2
(mean) finlit_dk_2
(mean) finlit_dk_2
(mean) finlit_dk_2
(mean) finlit_dk_2
2142
15
1
1
Sysmiss
(mean) finlit_3
(mean) finlit_3
(mean) finlit_3
(mean) finlit_3
(mean) finlit_3
2142
15
1
1
Sysmiss
(mean) finlit_dk_3
(mean) finlit_dk_3
(mean) finlit_dk_3
(mean) finlit_dk_3
(mean) finlit_dk_3
2142
15
1
1
Sysmiss
Financial literacy questions correct
Financial literacy questions correct
Financial literacy questions correct
Financial literacy questions correct
Financial literacy questions correct
2142
15
3
1
2
3
Sysmiss
(mean) finlit_dk_total
(mean) finlit_dk_total
(mean) finlit_dk_total
(mean) finlit_dk_total
(mean) finlit_dk_total
2142
15
3
1
2
3
Sysmiss
(mean) presbias
(mean) presbias
(mean) presbias
(mean) presbias
(mean) presbias
2142
15
1
(mean) presbias_2
(mean) presbias_2
(mean) presbias_2
(mean) presbias_2
(mean) presbias_2
2142
15
1
(mean) futurebias
(mean) futurebias
(mean) futurebias
(mean) futurebias
(mean) futurebias
2142
15
1
(mean) futurebias_2
(mean) futurebias_2
(mean) futurebias_2
(mean) futurebias_2
(mean) futurebias_2
2142
15
1
(mean) consistent
(mean) consistent
(mean) consistent
(mean) consistent
(mean) consistent
2142
15
1
(mean) consistent_2
(mean) consistent_2
(mean) consistent_2
(mean) consistent_2
(mean) consistent_2
2142
15
1
(mean) fracpb
(mean) fracpb
(mean) fracpb
(mean) fracpb
(mean) fracpb
2142
15
1
(mean) fracfb
(mean) fracfb
(mean) fracfb
(mean) fracfb
(mean) fracfb
2142
15
1
(mean) fracconsis
(mean) fracconsis
(mean) fracconsis
(mean) fracconsis
(mean) fracconsis
2142
15
1
(mean) fracpb_2
(mean) fracpb_2
(mean) fracpb_2
(mean) fracpb_2
(mean) fracpb_2
2142
15
1
(mean) fracfb_2
(mean) fracfb_2
(mean) fracfb_2
(mean) fracfb_2
(mean) fracfb_2
2142
15
1
(mean) fracconsis_2
(mean) fracconsis_2
(mean) fracconsis_2
(mean) fracconsis_2
(mean) fracconsis_2
2142
15
1
(mean) havedemos
(mean) havedemos
(mean) havedemos
(mean) havedemos
(mean) havedemos
2142
15
1
1
1
Sysmiss
(mean) a1
(mean) a1
(mean) a1
(mean) a1
(mean) a1
2142
15
18
95
(mean) a2
(mean) a2
(mean) a2
(mean) a2
(mean) a2
2142
15
-99
95
(mean) a4
(mean) a4
(mean) a4
(mean) a4
(mean) a4
2142
15
77
(mean) b1_100
(mean) b1_100
(mean) b1_100
(mean) b1_100
(mean) b1_100
2142
15
20
(mean) b1_110
(mean) b1_110
(mean) b1_110
(mean) b1_110
(mean) b1_110
2142
15
20
(mean) b2_100
(mean) b2_100
(mean) b2_100
(mean) b2_100
(mean) b2_100
2142
15
20
(mean) b2_125
(mean) b2_125
(mean) b2_125
(mean) b2_125
(mean) b2_125
2142
15
20
(mean) b3_100
(mean) b3_100
(mean) b3_100
(mean) b3_100
(mean) b3_100
2142
15
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
Sysmiss
(mean) b3_150
(mean) b3_150
(mean) b3_150
(mean) b3_150
(mean) b3_150
2142
15
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
Sysmiss
(mean) b4_100
(mean) b4_100
(mean) b4_100
(mean) b4_100
(mean) b4_100
2142
15
20
(mean) b4_175
(mean) b4_175
(mean) b4_175
(mean) b4_175
(mean) b4_175
2142
15
20
(mean) b5_100
(mean) b5_100
(mean) b5_100
(mean) b5_100
(mean) b5_100
2142
15
20
(mean) b5_200
(mean) b5_200
(mean) b5_200
(mean) b5_200
(mean) b5_200
2142
15
20
(mean) b6_100
(mean) b6_100
(mean) b6_100
(mean) b6_100
(mean) b6_100
2142
15
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
Sysmiss
(mean) b6_110
(mean) b6_110
(mean) b6_110
(mean) b6_110
(mean) b6_110
2142
15
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
Sysmiss
(mean) b7_100
(mean) b7_100
(mean) b7_100
(mean) b7_100
(mean) b7_100
2142
15
20
(mean) b7_125
(mean) b7_125
(mean) b7_125
(mean) b7_125
(mean) b7_125
2142
15
20
(mean) b8_100
(mean) b8_100
(mean) b8_100
(mean) b8_100
(mean) b8_100
2142
15
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
Sysmiss
(mean) b8_150
(mean) b8_150
(mean) b8_150
(mean) b8_150
(mean) b8_150
2142
15
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
Sysmiss
(mean) b9_100
(mean) b9_100
(mean) b9_100
(mean) b9_100
(mean) b9_100
2142
15
20
(mean) b9_175
(mean) b9_175
(mean) b9_175
(mean) b9_175
(mean) b9_175
2142
15
20
(mean) b10_100
(mean) b10_100
(mean) b10_100
(mean) b10_100
(mean) b10_100
2142
15
20
(mean) b10_200
(mean) b10_200
(mean) b10_200
(mean) b10_200
(mean) b10_200
2142
15
20
Implemented interest rate \{.1, .25, .5, .75, 1\}
Implemented interest rate \{.1, .25, .5, .75, 1\}
Implemented interest rate \{.1, .25, .5, .75, 1\}
Implemented interest rate \{.1, .25, .5, .75, 1\}
Implemented interest rate \{.1, .25, .5, .75, 1\}
2142
15
0.1
1
merge variable
merge variable
merge variable
merge variable
merge variable
2142
15
2
3
2
3
Sysmiss
Indicator: death in the family
Indicator: death in the family
Indicator: death in the family
Indicator: death in the family
Indicator: death in the family
1314
843
1
1
Sysmiss
change in total household expenditure
change in total household expenditure
change in total household expenditure
change in total household expenditure
change in total household expenditure
1454
703
-5100
21050
Shortfall in expected HH income (MK)
Shortfall in expected HH income (MK)
Shortfall in expected HH income (MK)
Shortfall in expected HH income (MK)
Shortfall in expected HH income (MK)
1454
703
-4302
13735
indiv own transfer card
indiv own transfer card
indiv own transfer card
indiv own transfer card
indiv own transfer card
2142
15
1
10
1
2
3
4
5
6
7
8
9
10
Sysmiss
indiv own tokens - sooner
indiv own tokens - sooner
indiv own tokens - sooner
indiv own tokens - sooner
indiv own tokens - sooner
2142
15
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
Sysmiss
indiv own tokens - later
indiv own tokens - later
indiv own tokens - later
indiv own tokens - later
indiv own tokens - later
2142
15
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
Sysmiss
indiv own in mk - sooner
indiv own in mk - sooner
indiv own in mk - sooner
indiv own in mk - sooner
indiv own in mk - sooner
2142
15
2000
indiv own in mk - later
indiv own in mk - later
indiv own in mk - later
indiv own in mk - later
indiv own in mk - later
2142
15
4000
(mean) b1_100
(mean) b1_100
(mean) b1_100
(mean) b1_100
(mean) b1_100
2142
15
20
(mean) b1_110
(mean) b1_110
(mean) b1_110
(mean) b1_110
(mean) b1_110
2142
15
20
(mean) b2_100
(mean) b2_100
(mean) b2_100
(mean) b2_100
(mean) b2_100
2142
15
20
(mean) b2_125
(mean) b2_125
(mean) b2_125
(mean) b2_125
(mean) b2_125
2142
15
20
(mean) b3_100
(mean) b3_100
(mean) b3_100
(mean) b3_100
(mean) b3_100
2142
15
-9
20
(mean) b3_150
(mean) b3_150
(mean) b3_150
(mean) b3_150
(mean) b3_150
2142
15
-9
20
(mean) b4_100
(mean) b4_100
(mean) b4_100
(mean) b4_100
(mean) b4_100
2142
15
-9
20
(mean) b4_175
(mean) b4_175
(mean) b4_175
(mean) b4_175
(mean) b4_175
2142
15
-9
20
(mean) b5_100
(mean) b5_100
(mean) b5_100
(mean) b5_100
(mean) b5_100
2142
15
-9
20
(mean) b5_200
(mean) b5_200
(mean) b5_200
(mean) b5_200
(mean) b5_200
2142
15
-9
20
(mean) b6_100
(mean) b6_100
(mean) b6_100
(mean) b6_100
(mean) b6_100
2142
15
-9
20
(mean) b6_110
(mean) b6_110
(mean) b6_110
(mean) b6_110
(mean) b6_110
2142
15
-9
20
(mean) b7_100
(mean) b7_100
(mean) b7_100
(mean) b7_100
(mean) b7_100
2142
15
20
(mean) b7_125
(mean) b7_125
(mean) b7_125
(mean) b7_125
(mean) b7_125
2142
15
20
(mean) b8_100
(mean) b8_100
(mean) b8_100
(mean) b8_100
(mean) b8_100
2142
15
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
Sysmiss
(mean) b8_150
(mean) b8_150
(mean) b8_150
(mean) b8_150
(mean) b8_150
2142
15
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
Sysmiss
(mean) b9_100
(mean) b9_100
(mean) b9_100
(mean) b9_100
(mean) b9_100
2142
15
20
(mean) b9_175
(mean) b9_175
(mean) b9_175
(mean) b9_175
(mean) b9_175
2142
15
20
(mean) b10_100
(mean) b10_100
(mean) b10_100
(mean) b10_100
(mean) b10_100
2142
15
-9
20
(mean) b10_200
(mean) b10_200
(mean) b10_200
(mean) b10_200
(mean) b10_200
2142
15
-9
20
(mean) qualflag
(mean) qualflag
(mean) qualflag
(mean) qualflag
(mean) qualflag
2142
15
1
1
Sysmiss
(mean) timeprefA
(mean) timeprefA
(mean) timeprefA
(mean) timeprefA
(mean) timeprefA
2142
15
1
1
Sysmiss
(mean) wealth_bline_M
(mean) wealth_bline_M
(mean) wealth_bline_M
(mean) wealth_bline_M
(mean) wealth_bline_M
2142
15
4
69502.5
(mean) frac_posdcs
(mean) frac_posdcs
(mean) frac_posdcs
(mean) frac_posdcs
(mean) frac_posdcs
2142
15
0.125
1
(mean) relatives
(mean) relatives
(mean) relatives
(mean) relatives
(mean) relatives
2139
18
132
(mean) havemaize
(mean) havemaize
(mean) havemaize
(mean) havemaize
(mean) havemaize
2142
15
1
1
Sysmiss
(mean) younger
(mean) younger
(mean) younger
(mean) younger
(mean) younger
2142
15
1
1
Sysmiss
(mean) middleage
(mean) middleage
(mean) middleage
(mean) middleage
(mean) middleage
2142
15
1
1
Sysmiss
(mean) some_primary
(mean) some_primary
(mean) some_primary
(mean) some_primary
(mean) some_primary
2142
15
1
1
Sysmiss
(mean) primary
(mean) primary
(mean) primary
(mean) primary
(mean) primary
2142
15
1
1
Sysmiss
(mean) morethan_primary
(mean) morethan_primary
(mean) morethan_primary
(mean) morethan_primary
(mean) morethan_primary
2142
15
1
1
Sysmiss
(mean) wrdrecal_1
(mean) wrdrecal_1
(mean) wrdrecal_1
(mean) wrdrecal_1
(mean) wrdrecal_1
2142
15
10
1
2
3
4
5
6
7
8
9
10
Sysmiss
(mean) ravens
(mean) ravens
(mean) ravens
(mean) ravens
(mean) ravens
2142
15
3
1
2
3
Sysmiss
(mean) finlit_total
(mean) finlit_total
(mean) finlit_total
(mean) finlit_total
(mean) finlit_total
2142
15
3
1
2
3
Sysmiss
(mean) presbias
(mean) presbias
(mean) presbias
(mean) presbias
(mean) presbias
2142
15
1
(mean) presbias_2
(mean) presbias_2
(mean) presbias_2
(mean) presbias_2
(mean) presbias_2
2142
15
1
(mean) futurebias
(mean) futurebias
(mean) futurebias
(mean) futurebias
(mean) futurebias
2142
15
1
(mean) futurebias_2
(mean) futurebias_2
(mean) futurebias_2
(mean) futurebias_2
(mean) futurebias_2
2142
15
1
(mean) consistent
(mean) consistent
(mean) consistent
(mean) consistent
(mean) consistent
2142
15
1
(mean) consistent_2
(mean) consistent_2
(mean) consistent_2
(mean) consistent_2
(mean) consistent_2
2142
15
1
(mean) fracpb
(mean) fracpb
(mean) fracpb
(mean) fracpb
(mean) fracpb
2142
15
1
(mean) fracfb
(mean) fracfb
(mean) fracfb
(mean) fracfb
(mean) fracfb
2142
15
1
(mean) fracconsis
(mean) fracconsis
(mean) fracconsis
(mean) fracconsis
(mean) fracconsis
2142
15
1
(mean) fracpb_2
(mean) fracpb_2
(mean) fracpb_2
(mean) fracpb_2
(mean) fracpb_2
2142
15
1
(mean) fracconsis_2
(mean) fracconsis_2
(mean) fracconsis_2
(mean) fracconsis_2
(mean) fracconsis_2
2142
15
1
spouse's transfer card
spouse's transfer card
spouse's transfer card
spouse's transfer card
spouse's transfer card
2142
15
1
10
1
2
3
4
5
6
7
8
9
10
Sysmiss
spouse's tokens - sooner
spouse's tokens - sooner
spouse's tokens - sooner
spouse's tokens - sooner
spouse's tokens - sooner
2142
15
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
Sysmiss
spouse's tokens - later
spouse's tokens - later
spouse's tokens - later
spouse's tokens - later
spouse's tokens - later
2142
15
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
Sysmiss
spouse's in mk - sooner
spouse's in mk - sooner
spouse's in mk - sooner
spouse's in mk - sooner
spouse's in mk - sooner
2142
15
2000
spouse's in mk - later
spouse's in mk - later
spouse's in mk - later
spouse's in mk - later
spouse's in mk - later
2142
15
4000
gap in tokens
gap in tokens
gap in tokens
gap in tokens
gap in tokens
2142
15
-20
20
gap in mk
gap in mk
gap in mk
gap in mk
gap in mk
2142
15
-4000
4000
which surveys
which surveys
which surveys
which surveys
which surveys
2089
68
1
6
1
Baseline=1 ; Middle=0 ; Endline=1
2
Baseline=1 ; Middle=1 ; Endline=1
3
Baseline=1 ; Middle=0 ; Endline=0
4
Baseline=1 ; Middle=1 ; Endline=0
5
Baseline=0 ; Middle=0 ; Endline=1
6
Baseline=0 ; Middle=1 ; Endline=1
7
Baseline=0 ; Middle=1 ; Endline=0
Sysmiss
Randomization Strat var
Randomization Strat var
Randomization Strat var
Randomization Strat var
Randomization Strat var
2081
76
12
23
Pilot
1
Chatoloma 2 (AO-FC/B) - Mar 4-5
2
Chatoloma 1 (AO-FC) - Mar 6-7
3
Chatoloma 1 (AO-B) - Mar 6-7
4
Chatoloma 1 (AO-B) - Mar 9-10
5
Chatoloma 1 (AO-FC) - Mar 9-10
6
Chisinga (AO-FC) - Mar 12-14
7
Chisinga (AO-B) - Mar 12-14
8
Chisinga (AO-B) - Mar 16
9
Kasungu Central (AO-FC) - Mar 17-20
10
Kasungu Central (AO-B) - Mar 17-20
11
Chamwabvi (AO-B) - Mar 23-25
12
Mponela (AO-FC) - Mar 27-28
13
Mponela (AO-B) - Mar 27-28
14
Dzoole (AO-FC) - Mar 31-April 2
15
Dzoole (AO-B) - Mar 31-April 2
16
Chisepo (LL-DF) - Apr 2-3
17
Nachisaka (LL-DF) - Apr 6-7
18
Chibvala (LL-DF) - Apr 9-10
19
Nachisaka (LL-DF) - Apr 14-15
20
Mponela (LL-DF) - Apr 16-17
21
Mndolera (LL-DF) - Apr 18-20
22
Madisi (LL-DF) - Apr 21-22
23
Bowe (LL-DF) - Apr 23
Sysmiss
[HS14d]0/1: fixed deposit account at OIBM
[HS14d]0/1: fixed deposit account at OIBM
[HS14d]0/1: fixed deposit account at OIBM
[HS14d]0/1: fixed deposit account at OIBM
[HS14d]0/1: fixed deposit account at OIBM
1952
205
1
11
.B
[HS14]0/1: Any fixed deposit account, non-OIBM
[HS14]0/1: Any fixed deposit account, non-OIBM
[HS14]0/1: Any fixed deposit account, non-OIBM
[HS14]0/1: Any fixed deposit account, non-OIBM
[HS14]0/1: Any fixed deposit account, non-OIBM
1970
187
1
1
Sysmiss
[HS14]0/1: Any fixed deposit account, any bank
[HS14]0/1: Any fixed deposit account, any bank
[HS14]0/1: Any fixed deposit account, any bank
[HS14]0/1: Any fixed deposit account, any bank
[HS14]0/1: Any fixed deposit account, any bank
1970
187
1
1
Sysmiss
Treatment Group
Treatment Group
Treatment Group
Treatment Group
Treatment Group
2089
68
6
Control
1
Ordinary, no raffle
2
Ordinary, public raffle
3
Ordinary, private raffle
4
Commitment, no raffle
5
Commitment, public raffle
6
Commitment, private raffle
Sysmiss
[TR](MK)Total transfers received
[TR](MK)Total transfers received
[TR](MK)Total transfers received
[TR](MK)Total transfers received
[TR](MK)Total transfers received
1970
187
200000
[TR](MK)Total transfers received;TRIM(0&99)
[TR](MK)Total transfers received;TRIM(0&99)
[TR](MK)Total transfers received;TRIM(0&99)
[TR](MK)Total transfers received;TRIM(0&99)
[TR](MK)Total transfers received;TRIM(0&99)
1970
187
29000
trimmed at 0 and 99 percentiles
[TR](MK)transfers received, big gift<=Oct09
[TR](MK)transfers received, big gift<=Oct09
[TR](MK)transfers received, big gift<=Oct09
[TR](MK)transfers received, big gift<=Oct09
[TR](MK)transfers received, big gift<=Oct09
1970
187
70000
[TR](MK)transfers received, big gift<=Oct09;TRIM(0&99);
[TR](MK)transfers received, big gift<=Oct09;TRIM(0&99);
[TR](MK)transfers received, big gift<=Oct09;TRIM(0&99);
[TR](MK)transfers received, big gift<=Oct09;TRIM(0&99);
[TR](MK)transfers received, big gift<=Oct09;TRIM(0&99);
1970
187
10000
trimmed at 0 and 99 percentiles
[TR](MK)Total transfers sent
[TR](MK)Total transfers sent
[TR](MK)Total transfers sent
[TR](MK)Total transfers sent
[TR](MK)Total transfers sent
1970
187
205000
[TR](MK)transfers sent, big gift<=Oct09
[TR](MK)transfers sent, big gift<=Oct09
[TR](MK)transfers sent, big gift<=Oct09
[TR](MK)transfers sent, big gift<=Oct09
[TR](MK)transfers sent, big gift<=Oct09
1970
187
201000
[TR](MK)transfers sent, big gift<=Oct09;TRIM(0&99);
[TR](MK)transfers sent, big gift<=Oct09;TRIM(0&99);
[TR](MK)transfers sent, big gift<=Oct09;TRIM(0&99);
[TR](MK)transfers sent, big gift<=Oct09;TRIM(0&99);
[TR](MK)transfers sent, big gift<=Oct09;TRIM(0&99);
1970
187
10000
trimmed at 0 and 99 percentiles
abrlspsdiffc_f_soon
abrlspsdiffc_f_soon
abrlspsdiffc_f_soon
abrlspsdiffc_f_soon
abrlspsdiffc_f_soon
2142
15
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
Sysmiss
spsdiffpos
spsdiffpos
spsdiffpos
spsdiffpos
spsdiffpos
2142
15
1
1
Sysmiss
pos_abrlspsdiffc_f_soon
pos_abrlspsdiffc_f_soon
pos_abrlspsdiffc_f_soon
pos_abrlspsdiffc_f_soon
pos_abrlspsdiffc_f_soon
2142
15
19
1
2
3
4
5
6
7
8
9
10
11
12
13
15
16
18
19
Sysmiss
actual lag squared
actual lag squared
actual lag squared
actual lag squared
actual lag squared
662
1495
256
pb lag interaction
pb lag interaction
pb lag interaction
pb lag interaction
pb lag interaction
662
1495
16
net transfers
net transfers
net transfers
net transfers
net transfers
1970
187
-162200
70000
ini_pb_sim
ini_pb_sim
ini_pb_sim
ini_pb_sim
ini_pb_sim
2142
15
1
1
Sysmiss
fracpbothersim
fracpbothersim
fracpbothersim
fracpbothersim
fracpbothersim
2142
15
1
club registration number
club registration number
club registration number
club registration number
club registration number
2142
15
220525
902176
Commitment Savings respondent ID / Revising Commitment HH ID
Commitment Savings respondent ID / Revising Commitment HH ID
Commitment Savings respondent ID / Revising Commitment HH ID
Commitment Savings respondent ID / Revising Commitment HH ID
Commitment Savings respondent ID / Revising Commitment HH ID
2081
76
125145301
325936510
0/1:male RC voucher holder
0/1:male RC voucher holder
0/1:male RC voucher holder
0/1:male RC voucher holder
0/1:male RC voucher holder
2081
76
1
1
Sysmiss
0/1:treatment=tmrw/1month (vs 2m/3m)
0/1:treatment=tmrw/1month (vs 2m/3m)
0/1:treatment=tmrw/1month (vs 2m/3m)
0/1:treatment=tmrw/1month (vs 2m/3m)
0/1:treatment=tmrw/1month (vs 2m/3m)
2081
76
1
1
Sysmiss
treatment:interest rate offered
treatment:interest rate offered
treatment:interest rate offered
treatment:interest rate offered
treatment:interest rate offered
2081
76
10
100
urea per acre
urea per acre
urea per acre
urea per acre
urea per acre
2137
20
300
spouse bias sooner in mk
spouse bias sooner in mk
spouse bias sooner in mk
spouse bias sooner in mk
spouse bias sooner in mk
2142
15
-2000
2000
spouse bias - sooner
spouse bias - sooner
spouse bias - sooner
spouse bias - sooner
spouse bias - sooner
2142
15
-1850
1850
Spouse minus own allocation to sooner (MK)
Spouse minus own allocation to sooner (MK)
Spouse minus own allocation to sooner (MK)
Spouse minus own allocation to sooner (MK)
Spouse minus own allocation to sooner (MK)
2142
15
-1833.333
1833.333
spouse bias - near
spouse bias - near
spouse bias - near
spouse bias - near
spouse bias - near
2142
15
-2000
2000
spouse bias - far
spouse bias - far
spouse bias - far
spouse bias - far
spouse bias - far
2142
15
-2000
2000
spouse bias imp
spouse bias imp
spouse bias imp
spouse bias imp
spouse bias imp
1458
699
-2000
2000
spouse bias non-imp far
spouse bias non-imp far
spouse bias non-imp far
spouse bias non-imp far
spouse bias non-imp far
1458
699
-1875
1875
1 treatment
1 treatment
1 treatment
1 treatment
1 treatment
2142
15
1
1
Sysmiss
2 treatment
2 treatment
2 treatment
2 treatment
2 treatment
2142
15
1
1
Sysmiss
3 treatment
3 treatment
3 treatment
3 treatment
3 treatment
2142
15
1
1
Sysmiss
4 treatment
4 treatment
4 treatment
4 treatment
4 treatment
2142
15
1
1
Sysmiss
5 treatment
5 treatment
5 treatment
5 treatment
5 treatment
2142
15
1
1
Sysmiss
6 treatment
6 treatment
6 treatment
6 treatment
6 treatment
2142
15
1
1
Sysmiss
Difference between Soon and Far:MK in two months, for r=0.1
Difference between Soon and Far:MK in two months, for r=0.1
Difference between Soon and Far:MK in two months, for r=0.1
Difference between Soon and Far:MK in two months, for r=0.1
Difference between Soon and Far:MK in two months, for r=0.1
2142
15
-2000
2000
Difference between Soon and Far:MK in two months, for r=0.25
Difference between Soon and Far:MK in two months, for r=0.25
Difference between Soon and Far:MK in two months, for r=0.25
Difference between Soon and Far:MK in two months, for r=0.25
Difference between Soon and Far:MK in two months, for r=0.25
2142
15
-2000
2000
Difference between Soon and Far:MK in two months, for r=0.50
Difference between Soon and Far:MK in two months, for r=0.50
Difference between Soon and Far:MK in two months, for r=0.50
Difference between Soon and Far:MK in two months, for r=0.50
Difference between Soon and Far:MK in two months, for r=0.50
2142
15
-2000
2000
Difference between Soon and Far:MK in two months, for r=0.75
Difference between Soon and Far:MK in two months, for r=0.75
Difference between Soon and Far:MK in two months, for r=0.75
Difference between Soon and Far:MK in two months, for r=0.75
Difference between Soon and Far:MK in two months, for r=0.75
2142
15
-2000
2000
Difference between Soon and Far:MK in two months, for r=1.00
Difference between Soon and Far:MK in two months, for r=1.00
Difference between Soon and Far:MK in two months, for r=1.00
Difference between Soon and Far:MK in two months, for r=1.00
Difference between Soon and Far:MK in two months, for r=1.00
2142
15
-2000
2000
pb all
pb all
pb all
pb all
pb all
2142
15
-2000
2000
pb non-imp
pb non-imp
pb non-imp
pb non-imp
pb non-imp
2142
15
-2000
2000
pb imp
pb imp
pb imp
pb imp
pb imp
2142
15
-2000
2000
Indicator of Present Bias for Implemented Interest Rate
Indicator of Present Bias for Implemented Interest Rate
Indicator of Present Bias for Implemented Interest Rate
Indicator of Present Bias for Implemented Interest Rate
Indicator of Present Bias for Implemented Interest Rate
2142
15
1
1
Sysmiss
frac pb 2, imp
frac pb 2, imp
frac pb 2, imp
frac pb 2, imp
frac pb 2, imp
2142
15
1
1
Sysmiss
Indicator: days to first disbursement (targeted) $\leq 6$
Indicator: days to first disbursement (targeted) $\leq 6$
Indicator: days to first disbursement (targeted) $\leq 6$
Indicator: days to first disbursement (targeted) $\leq 6$
Indicator: days to first disbursement (targeted) $\leq 6$
722
1435
1
1
Sysmiss
target lag 7-11
target lag 7-11
target lag 7-11
target lag 7-11
target lag 7-11
722
1435
1
1
Sysmiss
target lag 12-16
target lag 12-16
target lag 12-16
target lag 12-16
target lag 12-16
722
1435
1
1
Sysmiss
HH total bank-BL
HH total bank-BL
HH total bank-BL
HH total bank-BL
HH total bank-BL
2142
15
540
HH case-BL
HH case-BL
HH case-BL
HH case-BL
HH case-BL
2142
15
340
exp income-BL
exp income-BL
exp income-BL
exp income-BL
exp income-BL
2142
15
1377
exp rev-BL
exp rev-BL
exp rev-BL
exp rev-BL
exp rev-BL
2142
15
1335
from selling items-BL
from selling items-BL
from selling items-BL
from selling items-BL
from selling items-BL
2142
15
5882.9
from selling animals-BL
from selling animals-BL
from selling animals-BL
from selling animals-BL
from selling animals-BL
2142
15
1236
Baseline wealth (100s of MK)
Baseline wealth (100s of MK)
Baseline wealth (100s of MK)
Baseline wealth (100s of MK)
Baseline wealth (100s of MK)
2142
15
0.4
6950.25
(mean) younger
(mean) younger
(mean) younger
(mean) younger
(mean) younger
2140
17
1
1
Sysmiss
(mean) middleage
(mean) middleage
(mean) middleage
(mean) middleage
(mean) middleage
2140
17
1
1
Sysmiss
(mean) a1
(mean) a1
(mean) a1
(mean) a1
(mean) a1
2140
17
18
87
(mean) younger
(mean) younger
(mean) younger
(mean) younger
(mean) younger
2142
15
1
1
Sysmiss
(mean) middleage
(mean) middleage
(mean) middleage
(mean) middleage
(mean) middleage
2142
15
1
1
Sysmiss
(mean) a1
(mean) a1
(mean) a1
(mean) a1
(mean) a1
2142
15
20
95
spouse age
spouse age
spouse age
spouse age
spouse age
2142
15
18
95
own_sooner_far_imp
own_sooner_far_imp
own_sooner_far_imp
own_sooner_far_imp
own_sooner_far_imp
1458
699
2000
dummy C1 1
dummy C1 1
dummy C1 1
dummy C1 1
dummy C1 1
663
1494
-2000
2100
dummy C1 1
dummy C1 1
dummy C1 1
dummy C1 1
dummy C1 1
663
1494
-2000
2100
indicator present bias 2, int. rate=0.10
indicator present bias 2, int. rate=0.10
indicator present bias 2, int. rate=0.10
indicator present bias 2, int. rate=0.10
indicator present bias 2, int. rate=0.10
2142
15
1
1
Sysmiss
indicator present bias 2, int. rate=0.25
indicator present bias 2, int. rate=0.25
indicator present bias 2, int. rate=0.25
indicator present bias 2, int. rate=0.25
indicator present bias 2, int. rate=0.25
2142
15
1
1
Sysmiss
indicator present bias 2, int. rate=0.50
indicator present bias 2, int. rate=0.50
indicator present bias 2, int. rate=0.50
indicator present bias 2, int. rate=0.50
indicator present bias 2, int. rate=0.50
2142
15
1
1
Sysmiss
indicator present bias 2, int. rate=0.75
indicator present bias 2, int. rate=0.75
indicator present bias 2, int. rate=0.75
indicator present bias 2, int. rate=0.75
indicator present bias 2, int. rate=0.75
2142
15
1
1
Sysmiss
indicator present bias 2, int. rate=1.0
indicator present bias 2, int. rate=1.0
indicator present bias 2, int. rate=1.0
indicator present bias 2, int. rate=1.0
indicator present bias 2, int. rate=1.0
2142
15
1
1
Sysmiss
Fraction present-biased, non-implemented interest rates
Fraction present-biased, non-implemented interest rates
Fraction present-biased, non-implemented interest rates
Fraction present-biased, non-implemented interest rates
Fraction present-biased, non-implemented interest rates
2142
15
1
indicator future bias 2, int. rate=0.10
indicator future bias 2, int. rate=0.10
indicator future bias 2, int. rate=0.10
indicator future bias 2, int. rate=0.10
indicator future bias 2, int. rate=0.10
2142
15
1
1
Sysmiss
indicator future bias 2, int. rate=0.25
indicator future bias 2, int. rate=0.25
indicator future bias 2, int. rate=0.25
indicator future bias 2, int. rate=0.25
indicator future bias 2, int. rate=0.25
2142
15
1
1
Sysmiss
indicator future bias 2, int. rate=0.50
indicator future bias 2, int. rate=0.50
indicator future bias 2, int. rate=0.50
indicator future bias 2, int. rate=0.50
indicator future bias 2, int. rate=0.50
2142
15
1
1
Sysmiss
indicator future bias 2, int. rate=0.75
indicator future bias 2, int. rate=0.75
indicator future bias 2, int. rate=0.75
indicator future bias 2, int. rate=0.75
indicator future bias 2, int. rate=0.75
2142
15
1
1
Sysmiss
indicator future bias 2, int. rate=1.0
indicator future bias 2, int. rate=1.0
indicator future bias 2, int. rate=1.0
indicator future bias 2, int. rate=1.0
indicator future bias 2, int. rate=1.0
2142
15
1
1
Sysmiss
Fraction future-biased, non-implemented interest rates
Fraction future-biased, non-implemented interest rates
Fraction future-biased, non-implemented interest rates
Fraction future-biased, non-implemented interest rates
Fraction future-biased, non-implemented interest rates
2142
15
1
indicator present bias, int. rate=0.10
indicator present bias, int. rate=0.10
indicator present bias, int. rate=0.10
indicator present bias, int. rate=0.10
indicator present bias, int. rate=0.10
2142
15
1
1
Sysmiss
indicator present bias, int. rate=0.25
indicator present bias, int. rate=0.25
indicator present bias, int. rate=0.25
indicator present bias, int. rate=0.25
indicator present bias, int. rate=0.25
2142
15
1
1
Sysmiss
indicator present bias, int. rate=0.50
indicator present bias, int. rate=0.50
indicator present bias, int. rate=0.50
indicator present bias, int. rate=0.50
indicator present bias, int. rate=0.50
2142
15
1
1
Sysmiss
indicator present bias, int. rate=0.75
indicator present bias, int. rate=0.75
indicator present bias, int. rate=0.75
indicator present bias, int. rate=0.75
indicator present bias, int. rate=0.75
2142
15
1
1
Sysmiss
indicator present bias, int. rate=1.0
indicator present bias, int. rate=1.0
indicator present bias, int. rate=1.0
indicator present bias, int. rate=1.0
indicator present bias, int. rate=1.0
2142
15
1
1
Sysmiss
Fraction of Present Bias for Non-Implemented Interest Rate
Fraction of Present Bias for Non-Implemented Interest Rate
Fraction of Present Bias for Non-Implemented Interest Rate
Fraction of Present Bias for Non-Implemented Interest Rate
Fraction of Present Bias for Non-Implemented Interest Rate
2142
15
1
spouse's bias, non-imp, wt
spouse's bias, non-imp, wt
spouse's bias, non-imp, wt
spouse's bias, non-imp, wt
spouse's bias, non-imp, wt
1458
699
-1880.808
1880.808
present bias - wt
present bias - wt
present bias - wt
present bias - wt
present bias - wt
2142
15
-2000
2000
present bias, non-imp, wt
present bias, non-imp, wt
present bias, non-imp, wt
present bias, non-imp, wt
present bias, non-imp, wt
2142
15
-2000
2000
frac pb, wt
frac pb, wt
frac pb, wt
frac pb, wt
frac pb, wt
2142
15
1
frac pb 2, non-imp, wt
frac pb 2, non-imp, wt
frac pb 2, non-imp, wt
frac pb 2, non-imp, wt
frac pb 2, non-imp, wt
2142
15
1
improreturn .10
improreturn .10
improreturn .10
improreturn .10
improreturn .10
2142
15
1
1
Sysmiss
improreturn .25
improreturn .25
improreturn .25
improreturn .25
improreturn .25
2142
15
1
1
Sysmiss
improreturn .50
improreturn .50
improreturn .50
improreturn .50
improreturn .50
2142
15
1
1
Sysmiss
improreturn .75
improreturn .75
improreturn .75
improreturn .75
improreturn .75
2142
15
1
1
Sysmiss
improreturn 1.0
improreturn 1.0
improreturn 1.0
improreturn 1.0
improreturn 1.0
2142
15
1
1
Sysmiss
spouse_sooner_nonimpfar
spouse_sooner_nonimpfar
spouse_sooner_nonimpfar
spouse_sooner_nonimpfar
spouse_sooner_nonimpfar
1458
699
2000
own_sooner_nonimpfar
own_sooner_nonimpfar
own_sooner_nonimpfar
own_sooner_nonimpfar
own_sooner_nonimpfar
1458
699
2000
spouse_sooner_far_imp
spouse_sooner_far_imp
spouse_sooner_far_imp
spouse_sooner_far_imp
spouse_sooner_far_imp
1458
699
-900
2000
indicator: sb near, 0.10
indicator: sb near, 0.10
indicator: sb near, 0.10
indicator: sb near, 0.10
indicator: sb near, 0.10
2142
15
1
1
Sysmiss
indicator: sb near, 0.25
indicator: sb near, 0.25
indicator: sb near, 0.25
indicator: sb near, 0.25
indicator: sb near, 0.25
2142
15
1
1
Sysmiss
indicator: sb near, 0.50
indicator: sb near, 0.50
indicator: sb near, 0.50
indicator: sb near, 0.50
indicator: sb near, 0.50
2142
15
1
1
Sysmiss
indicator: sb near, 0.75
indicator: sb near, 0.75
indicator: sb near, 0.75
indicator: sb near, 0.75
indicator: sb near, 0.75
2142
15
1
1
Sysmiss
indicator: sb near, 1.0
indicator: sb near, 1.0
indicator: sb near, 1.0
indicator: sb near, 1.0
indicator: sb near, 1.0
2142
15
1
1
Sysmiss
indicator: sb far, 0.10
indicator: sb far, 0.10
indicator: sb far, 0.10
indicator: sb far, 0.10
indicator: sb far, 0.10
2142
15
1
1
Sysmiss
indicator: sb far, 0.25
indicator: sb far, 0.25
indicator: sb far, 0.25
indicator: sb far, 0.25
indicator: sb far, 0.25
2142
15
1
1
Sysmiss
indicator: sb far, 0.50
indicator: sb far, 0.50
indicator: sb far, 0.50
indicator: sb far, 0.50
indicator: sb far, 0.50
2142
15
1
1
Sysmiss
indicator: sb far, 0.75
indicator: sb far, 0.75
indicator: sb far, 0.75
indicator: sb far, 0.75
indicator: sb far, 0.75
2142
15
1
1
Sysmiss
indicator: sb far, 1.0
indicator: sb far, 1.0
indicator: sb far, 1.0
indicator: sb far, 1.0
indicator: sb far, 1.0
2142
15
1
1
Sysmiss
indicator: sb near2, 0.10
indicator: sb near2, 0.10
indicator: sb near2, 0.10
indicator: sb near2, 0.10
indicator: sb near2, 0.10
2142
15
1
1
Sysmiss
indicator: sb near2, 0.25
indicator: sb near2, 0.25
indicator: sb near2, 0.25
indicator: sb near2, 0.25
indicator: sb near2, 0.25
2142
15
1
1
Sysmiss
indicator: sb near2, 0.50
indicator: sb near2, 0.50
indicator: sb near2, 0.50
indicator: sb near2, 0.50
indicator: sb near2, 0.50
2142
15
1
1
Sysmiss
indicator: sb near2, 0.75
indicator: sb near2, 0.75
indicator: sb near2, 0.75
indicator: sb near2, 0.75
indicator: sb near2, 0.75
2142
15
1
1
Sysmiss
indicator: sb near2, 1.0
indicator: sb near2, 1.0
indicator: sb near2, 1.0
indicator: sb near2, 1.0
indicator: sb near2, 1.0
2142
15
1
1
Sysmiss
indicator: sb far2, 0.10
indicator: sb far2, 0.10
indicator: sb far2, 0.10
indicator: sb far2, 0.10
indicator: sb far2, 0.10
2142
15
1
1
Sysmiss
indicator: sb far2, 0.25
indicator: sb far2, 0.25
indicator: sb far2, 0.25
indicator: sb far2, 0.25
indicator: sb far2, 0.25
2142
15
1
1
Sysmiss
indicator: sb far2, 0.50
indicator: sb far2, 0.50
indicator: sb far2, 0.50
indicator: sb far2, 0.50
indicator: sb far2, 0.50
2142
15
1
1
Sysmiss
indicator: sb far2, 0.75
indicator: sb far2, 0.75
indicator: sb far2, 0.75
indicator: sb far2, 0.75
indicator: sb far2, 0.75
2142
15
1
1
Sysmiss
indicator: sb far2, 1.0
indicator: sb far2, 1.0
indicator: sb far2, 1.0
indicator: sb far2, 1.0
indicator: sb far2, 1.0
2142
15
1
1
Sysmiss
frac sb near
frac sb near
frac sb near
frac sb near
frac sb near
2142
15
1
frac sb far
frac sb far
frac sb far
frac sb far
frac sb far
2142
15
1
frac sb
frac sb
frac sb
frac sb
frac sb
2142
15
1
frac sb far, non-imp
frac sb far, non-imp
frac sb far, non-imp
frac sb far, non-imp
frac sb far, non-imp
1458
699
1
frac sb, non-imp
frac sb, non-imp
frac sb, non-imp
frac sb, non-imp
frac sb, non-imp
1458
699
1
frac sb near2
frac sb near2
frac sb near2
frac sb near2
frac sb near2
2142
15
1
frac sb, far2
frac sb, far2
frac sb, far2
frac sb, far2
frac sb, far2
2142
15
1
frac sb 2
frac sb 2
frac sb 2
frac sb 2
frac sb 2
2142
15
1
frac sb far2, non-imp
frac sb far2, non-imp
frac sb far2, non-imp
frac sb far2, non-imp
frac sb far2, non-imp
1458
699
1
frac sb 2, non-imp
frac sb 2, non-imp
frac sb 2, non-imp
frac sb 2, non-imp
frac sb 2, non-imp
1458
699
1
attrition 1
attrition 1
attrition 1
attrition 1
attrition 1
722
1435
1
1
Sysmiss
attrition 2
attrition 2
attrition 2
attrition 2
attrition 2
722
1435
1
1
Sysmiss
z13_month==2
z13_month==2
z13_month==2
z13_month==2
z13_month==2
2142
15
1
1
Sysmiss
z13_month==3
z13_month==3
z13_month==3
z13_month==3
z13_month==3
2142
15
Sysmiss
2 target lag
2 target lag
2 target lag
2 target lag
2 target lag
722
1435
1
1
Sysmiss
3 target lag
3 target lag
3 target lag
3 target lag
3 target lag
722
1435
1
1
Sysmiss
4 target lag
4 target lag
4 target lag
4 target lag
4 target lag
722
1435
1
1
Sysmiss
5 target lag
5 target lag
5 target lag
5 target lag
5 target lag
722
1435
1
1
Sysmiss
6 target lag
6 target lag
6 target lag
6 target lag
6 target lag
722
1435
1
1
Sysmiss
7 target lag
7 target lag
7 target lag
7 target lag
7 target lag
722
1435
1
1
Sysmiss
8 target lag
8 target lag
8 target lag
8 target lag
8 target lag
722
1435
1
1
Sysmiss
9 target lag
9 target lag
9 target lag
9 target lag
9 target lag
722
1435
1
1
Sysmiss
10 target lag
10 target lag
10 target lag
10 target lag
10 target lag
722
1435
1
1
Sysmiss
11 target lag
11 target lag
11 target lag
11 target lag
11 target lag
722
1435
1
1
Sysmiss
12 target lag
12 target lag
12 target lag
12 target lag
12 target lag
722
1435
1
1
Sysmiss
13 target lag
13 target lag
13 target lag
13 target lag
13 target lag
722
1435
1
1
Sysmiss
14 target lag
14 target lag
14 target lag
14 target lag
14 target lag
722
1435
1
1
Sysmiss
15 target lag
15 target lag
15 target lag
15 target lag
15 target lag
722
1435
1
1
Sysmiss
16 target lag
16 target lag
16 target lag
16 target lag
16 target lag
722
1435
1
1
Sysmiss
Near:MK tommorrow, for r=0.10
Near:MK tommorrow, for r=0.10
Near:MK tommorrow, for r=0.10
Near:MK tommorrow, for r=0.10
Near:MK tommorrow, for r=0.10
2142
15
2000
Near:MK tommorrow, for r=0.25
Near:MK tommorrow, for r=0.25
Near:MK tommorrow, for r=0.25
Near:MK tommorrow, for r=0.25
Near:MK tommorrow, for r=0.25
2142
15
2000
Near:MK tommorrow, for r=0.50
Near:MK tommorrow, for r=0.50
Near:MK tommorrow, for r=0.50
Near:MK tommorrow, for r=0.50
Near:MK tommorrow, for r=0.50
2142
15
2000
Near:MK tommorrow, for r=0.75
Near:MK tommorrow, for r=0.75
Near:MK tommorrow, for r=0.75
Near:MK tommorrow, for r=0.75
Near:MK tommorrow, for r=0.75
2142
15
2000
Near:MK tommorrow, for r=1.00
Near:MK tommorrow, for r=1.00
Near:MK tommorrow, for r=1.00
Near:MK tommorrow, for r=1.00
Near:MK tommorrow, for r=1.00
2142
15
2000
Near:MK in a Month, for r=0.10
Near:MK in a Month, for r=0.10
Near:MK in a Month, for r=0.10
Near:MK in a Month, for r=0.10
Near:MK in a Month, for r=0.10
2142
15
2200
Near:MK in a Month, for r=0.25
Near:MK in a Month, for r=0.25
Near:MK in a Month, for r=0.25
Near:MK in a Month, for r=0.25
Near:MK in a Month, for r=0.25
2142
15
2500
Near:MK in a Month, for r=0.50
Near:MK in a Month, for r=0.50
Near:MK in a Month, for r=0.50
Near:MK in a Month, for r=0.50
Near:MK in a Month, for r=0.50
2142
15
3000
Near:MK in a Month, for r=0.75
Near:MK in a Month, for r=0.75
Near:MK in a Month, for r=0.75
Near:MK in a Month, for r=0.75
Near:MK in a Month, for r=0.75
2142
15
3500
Near:MK in a Month, for r=1.00
Near:MK in a Month, for r=1.00
Near:MK in a Month, for r=1.00
Near:MK in a Month, for r=1.00
Near:MK in a Month, for r=1.00
2142
15
4000
Near: change in later consumption for change in r, 0.1 to 0.25
Near: change in later consumption for change in r, 0.1 to 0.25
Near: change in later consumption for change in r, 0.1 to 0.25
Near: change in later consumption for change in r, 0.1 to 0.25
Near: change in later consumption for change in r, 0.1 to 0.25
2142
15
-2200
2500
dcn_25_10pos
dcn_25_10pos
dcn_25_10pos
dcn_25_10pos
dcn_25_10pos
2142
15
1
1
Sysmiss
siznegn_25_10
siznegn_25_10
siznegn_25_10
siznegn_25_10
siznegn_25_10
2142
15
2500
Near: change in later consumption for change in r, 0.25 to 0.50
Near: change in later consumption for change in r, 0.25 to 0.50
Near: change in later consumption for change in r, 0.25 to 0.50
Near: change in later consumption for change in r, 0.25 to 0.50
Near: change in later consumption for change in r, 0.25 to 0.50
2142
15
-2500
3000
dcn_50_25pos
dcn_50_25pos
dcn_50_25pos
dcn_50_25pos
dcn_50_25pos
2142
15
1
1
Sysmiss
siznegn_50_25
siznegn_50_25
siznegn_50_25
siznegn_50_25
siznegn_50_25
2142
15
3000
Near: change in later consumption for change in r, 0.50 to 0.75
Near: change in later consumption for change in r, 0.50 to 0.75
Near: change in later consumption for change in r, 0.50 to 0.75
Near: change in later consumption for change in r, 0.50 to 0.75
Near: change in later consumption for change in r, 0.50 to 0.75
2142
15
-3000
3500
dcn_75_50pos
dcn_75_50pos
dcn_75_50pos
dcn_75_50pos
dcn_75_50pos
2142
15
1
1
Sysmiss
siznegn_75_50
siznegn_75_50
siznegn_75_50
siznegn_75_50
siznegn_75_50
2142
15
3500
Near: change in later consumption for change in r, 0.75 to 1.00
Near: change in later consumption for change in r, 0.75 to 1.00
Near: change in later consumption for change in r, 0.75 to 1.00
Near: change in later consumption for change in r, 0.75 to 1.00
Near: change in later consumption for change in r, 0.75 to 1.00
2142
15
-3500
4000
dcn_100_75pos
dcn_100_75pos
dcn_100_75pos
dcn_100_75pos
dcn_100_75pos
2142
15
1
1
Sysmiss
siznegn_100_75
siznegn_100_75
siznegn_100_75
siznegn_100_75
siznegn_100_75
2142
15
4000
Near: # (of 4) positive changes in later consumption with increase in r
Near: # (of 4) positive changes in later consumption with increase in r
Near: # (of 4) positive changes in later consumption with increase in r
Near: # (of 4) positive changes in later consumption with increase in r
Near: # (of 4) positive changes in later consumption with increase in r
2142
15
4
1
2
3
4
Sysmiss
avesiznegn
avesiznegn
avesiznegn
avesiznegn
avesiznegn
2142
15
3500
Far:MK in two months, for r=0.10
Far:MK in two months, for r=0.10
Far:MK in two months, for r=0.10
Far:MK in two months, for r=0.10
Far:MK in two months, for r=0.10
2142
15
2000
Far:MK in two months, for r=0.25
Far:MK in two months, for r=0.25
Far:MK in two months, for r=0.25
Far:MK in two months, for r=0.25
Far:MK in two months, for r=0.25
2142
15
2000
Far:MK in two months, for r=0.50
Far:MK in two months, for r=0.50
Far:MK in two months, for r=0.50
Far:MK in two months, for r=0.50
Far:MK in two months, for r=0.50
2142
15
2000
Far:MK in two months, for r=0.75
Far:MK in two months, for r=0.75
Far:MK in two months, for r=0.75
Far:MK in two months, for r=0.75
Far:MK in two months, for r=0.75
2142
15
2000
Far:MK in two months, for r=1.00
Far:MK in two months, for r=1.00
Far:MK in two months, for r=1.00
Far:MK in two months, for r=1.00
Far:MK in two months, for r=1.00
2142
15
2000
Far:MK in three months, for r=0.10
Far:MK in three months, for r=0.10
Far:MK in three months, for r=0.10
Far:MK in three months, for r=0.10
Far:MK in three months, for r=0.10
2142
15
2200
Far:MK in three months, for r=0.25
Far:MK in three months, for r=0.25
Far:MK in three months, for r=0.25
Far:MK in three months, for r=0.25
Far:MK in three months, for r=0.25
2142
15
2500
Far:MK in three months, for r=0.50
Far:MK in three months, for r=0.50
Far:MK in three months, for r=0.50
Far:MK in three months, for r=0.50
Far:MK in three months, for r=0.50
2142
15
3000
Far:MK in three months, for r=0.75
Far:MK in three months, for r=0.75
Far:MK in three months, for r=0.75
Far:MK in three months, for r=0.75
Far:MK in three months, for r=0.75
2142
15
3500
Far:MK in three months, for r=1.00
Far:MK in three months, for r=1.00
Far:MK in three months, for r=1.00
Far:MK in three months, for r=1.00
Far:MK in three months, for r=1.00
2142
15
4000
Far: change in later consumption for change in r, 0.1 to 0.25
Far: change in later consumption for change in r, 0.1 to 0.25
Far: change in later consumption for change in r, 0.1 to 0.25
Far: change in later consumption for change in r, 0.1 to 0.25
Far: change in later consumption for change in r, 0.1 to 0.25
2142
15
-2200
2500
dcf_25_10pos
dcf_25_10pos
dcf_25_10pos
dcf_25_10pos
dcf_25_10pos
2142
15
1
1
Sysmiss
Far: change in later consumption for change in r, 0.25 to 0.50
Far: change in later consumption for change in r, 0.25 to 0.50
Far: change in later consumption for change in r, 0.25 to 0.50
Far: change in later consumption for change in r, 0.25 to 0.50
Far: change in later consumption for change in r, 0.25 to 0.50
2142
15
-2500
3000
dcf_50_25pos
dcf_50_25pos
dcf_50_25pos
dcf_50_25pos
dcf_50_25pos
2142
15
1
1
Sysmiss
Far: change in later consumption for change in r, 0.50 to 0.75
Far: change in later consumption for change in r, 0.50 to 0.75
Far: change in later consumption for change in r, 0.50 to 0.75
Far: change in later consumption for change in r, 0.50 to 0.75
Far: change in later consumption for change in r, 0.50 to 0.75
2142
15
-3000
3500
dcf_75_50pos
dcf_75_50pos
dcf_75_50pos
dcf_75_50pos
dcf_75_50pos
2142
15
1
1
Sysmiss
Far: change in later consumption for change in r, 0.75 to 1.00
Far: change in later consumption for change in r, 0.75 to 1.00
Far: change in later consumption for change in r, 0.75 to 1.00
Far: change in later consumption for change in r, 0.75 to 1.00
Far: change in later consumption for change in r, 0.75 to 1.00
2142
15
-3500
4000
dcf_100_75pos
dcf_100_75pos
dcf_100_75pos
dcf_100_75pos
dcf_100_75pos
2142
15
1
1
Sysmiss
Far: # (of 4) positive changes in later consumption with increase in r
Far: # (of 4) positive changes in later consumption with increase in r
Far: # (of 4) positive changes in later consumption with increase in r
Far: # (of 4) positive changes in later consumption with increase in r
Far: # (of 4) positive changes in later consumption with increase in r
2142
15
4
1
2
3
4
Sysmiss
# (of 8) positive changes in later consumption with increase in r
# (of 8) positive changes in later consumption with increase in r
# (of 8) positive changes in later consumption with increase in r
# (of 8) positive changes in later consumption with increase in r
# (of 8) positive changes in later consumption with increase in r
2142
15
1
8
1
2
3
4
5
6
7
8
Sysmiss
Fraction of decisions consistent with law of demand
Fraction of decisions consistent with law of demand
Fraction of decisions consistent with law of demand
Fraction of decisions consistent with law of demand
Fraction of decisions consistent with law of demand
2142
15
0.125
1
number sooner
number sooner
number sooner
number sooner
number sooner
2142
15
200
Fraction of tokens allocated to
Fraction of tokens allocated to
Fraction of tokens allocated to
Fraction of tokens allocated to
Fraction of tokens allocated to
2142
15
1.111
elasticity of consumption period 2 share with interest rate, for tomorrow at r =
elasticity of consumption period 2 share with interest rate, for tomorrow at r =
elasticity of consumption period 2 share with interest rate, for tomorrow at r =
elasticity of consumption period 2 share with interest rate, for tomorrow at r =
elasticity of consumption period 2 share with interest rate, for tomorrow at r =
2157
-6.667
6.667
elasticity of consumption period 2 share with interest rate, for tomorrow at r =
elasticity of consumption period 2 share with interest rate, for tomorrow at r =
elasticity of consumption period 2 share with interest rate, for tomorrow at r =
elasticity of consumption period 2 share with interest rate, for tomorrow at r =
elasticity of consumption period 2 share with interest rate, for tomorrow at r =
2157
-4
4
elasticity of consumption period 2 share with interest rate, for tomorrow at r =
elasticity of consumption period 2 share with interest rate, for tomorrow at r =
elasticity of consumption period 2 share with interest rate, for tomorrow at r =
elasticity of consumption period 2 share with interest rate, for tomorrow at r =
elasticity of consumption period 2 share with interest rate, for tomorrow at r =
2157
-4
4
elasticity of consumption period 2 share with interest rate, for tomorrow at r =
elasticity of consumption period 2 share with interest rate, for tomorrow at r =
elasticity of consumption period 2 share with interest rate, for tomorrow at r =
elasticity of consumption period 2 share with interest rate, for tomorrow at r =
elasticity of consumption period 2 share with interest rate, for tomorrow at r =
2157
-4
4
average of elasticity for tomorrow
average of elasticity for tomorrow
average of elasticity for tomorrow
average of elasticity for tomorrow
average of elasticity for tomorrow
2157
-1.414
1.667
elasticity of consumption period 2 share with interest rate, in two months at r
elasticity of consumption period 2 share with interest rate, in two months at r
elasticity of consumption period 2 share with interest rate, in two months at r
elasticity of consumption period 2 share with interest rate, in two months at r
elasticity of consumption period 2 share with interest rate, in two months at r
2157
-6.667
6.667
elasticity of consumption period 2 share with interest rate, in two months at r
elasticity of consumption period 2 share with interest rate, in two months at r
elasticity of consumption period 2 share with interest rate, in two months at r
elasticity of consumption period 2 share with interest rate, in two months at r
elasticity of consumption period 2 share with interest rate, in two months at r
2157
-4
4
elasticity of consumption period 2 share with interest rate, in two months at r
elasticity of consumption period 2 share with interest rate, in two months at r
elasticity of consumption period 2 share with interest rate, in two months at r
elasticity of consumption period 2 share with interest rate, in two months at r
elasticity of consumption period 2 share with interest rate, in two months at r
2157
-4
4
elasticity of consumption period 2 share with interest rate, in two months at r
elasticity of consumption period 2 share with interest rate, in two months at r
elasticity of consumption period 2 share with interest rate, in two months at r
elasticity of consumption period 2 share with interest rate, in two months at r
elasticity of consumption period 2 share with interest rate, in two months at r
2157
-4
4
average of elasticity in two months
average of elasticity in two months
average of elasticity in two months
average of elasticity in two months
average of elasticity in two months
2157
-1.433
1.667
elas_f_average - elas_n_average
elas_f_average - elas_n_average
elas_f_average - elas_n_average
elas_f_average - elas_n_average
elas_f_average - elas_n_average
2157
-2.333
2.828
merge var
merge var
merge var
merge var
merge var
2157
2
3
2
3
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
10710
1234581011
3259365102
Account type
Account type
Account type
Account type
Account type
10710
10
100
Household ID
Household ID
Household ID
Household ID
Household ID
10710
123458101
325936510
respid 225977704 was not interviewed at the time of the baseline. His name was used by someone else (Thenford Mphonje).
respid 225148809 is in another club (Mtidzutse) where he is known as Gift Mwale.
respid 225299105 used 2 names, Chenjerani Banda, is a fake name. 225299103 is the correct observation.
respid 225951806, Tsilizani Lungu, is a fake name. Joseph Zeka (225951801) is the correct observation.
respid 225950401 used 2 names, Davie Mwale, is son's name. Nefitale Mwale is the correct respondent.
respid 226020201 (Gift Mwale) also in Mtidutse club under the same name. Other respid is 225977908.
Wrong respid was written on the pages of respid 141049905 (Kasten Zola)...check 141049917.
141050407 DD section was completed instead of SP section.
290197709 Unclear if this respondent was the one interviewed at baseline. wrong HH members.
Member of another club (Mtidutse club). Unclear what name he used in Mtidutse club.
226007204 Refused to be interviewed because he said he was not interviewed at baseline. Said that account form was filled out but account was never opened.
225147504 Dickson used the name Elack Banda but moved to Chamanda. Bashiri Banda used name Elack too.
141042502 The respondent was already out of the club in the harvesting season of 2009.
225301302 The original respondent (Sunganani Banda) is crossed out and written as deceased, but still appears on the roster.
141099115 Respondent name does not match any of the names on the roster.
141026617 Interview partially complete.
Days to first disbursement at revisit (target)
Days to first disbursement at revisit (target)
Days to first disbursement at revisit (target)
Days to first disbursement at revisit (target)
Days to first disbursement at revisit (target)
3610
7100
2
16
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
Sysmiss
Days to first disbursement at revisit (actual)
Days to first disbursement at revisit (actual)
Days to first disbursement at revisit (actual)
Days to first disbursement at revisit (actual)
Days to first disbursement at revisit (actual)
3310
7400
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
Sysmiss
Initial sooner allocation (value, MK)
Initial sooner allocation (value, MK)
Initial sooner allocation (value, MK)
Initial sooner allocation (value, MK)
Initial sooner allocation (value, MK)
3610
7100
2000
Initial later allocation (beans)
Initial later allocation (beans)
Initial later allocation (beans)
Initial later allocation (beans)
Initial later allocation (beans)
3610
7100
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
Sysmiss
Initial later allocation (value, MK)
Initial later allocation (value, MK)
Initial later allocation (value, MK)
Initial later allocation (value, MK)
Initial later allocation (value, MK)
3610
7100
4000
Final sooner allocation (MK)
Final sooner allocation (MK)
Final sooner allocation (MK)
Final sooner allocation (MK)
Final sooner allocation (MK)
3315
7395
2400
Final later allocation (MK)
Final later allocation (MK)
Final later allocation (MK)
Final later allocation (MK)
Final later allocation (MK)
3315
7395
4000
Expenditure in April on food
Expenditure in April on food
Expenditure in April on food
Expenditure in April on food
Expenditure in April on food
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
6570
4140
100000
-77777
NOT APPLICABLE
-88
DON'T KNOW
100
150
200
220
240
250
300
350
400
410
450
500
510
550
600
640
650
660
700
750
800
850
900
950
1000
1100
1200
1250
1260
1300
1400
1500
1550
1600
1700
1760
1800
1900
1960
2000
2100
2180
2200
2250
2300
2400
2480
2500
2600
2620
2700
2750
2800
2850
2900
3000
3200
3280
3400
3420
3500
3600
3700
3800
4000
4200
4300
4400
4500
4700
4800
5000
5200
5600
6000
6400
6500
6700
6950
7000
7500
8000
8500
9000
9500
10000
11000
12000
15000
16000
20000
21000
23000
25000
30000
35000
40000
50000
70000
100000
Sysmiss
Expenditure in May on food
Expenditure in May on food
Expenditure in May on food
Expenditure in May on food
Expenditure in May on food
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
6570
4140
50000
-77777
NOT APPLICABLE
-88
DON'T KNOW
100
200
220
300
350
360
400
450
500
560
600
700
750
800
900
950
1000
1100
1200
1250
1300
1400
1500
1600
1700
1800
1840
1960
2000
2100
2180
2250
2400
2500
2620
2700
2800
2850
2900
3000
3200
3280
3400
3500
3600
3650
3700
3750
3800
3900
4000
4500
4600
4700
4800
5000
5300
5500
5600
6000
6800
7000
7500
8000
9000
9500
10000
10425
11000
12000
13000
15000
16000
17250
20000
23000
25000
30000
40000
45000
50000
Sysmiss
Expenditure in June on food
Expenditure in June on food
Expenditure in June on food
Expenditure in June on food
Expenditure in June on food
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
6570
4140
100000
-77777
NOT APPLICABLE
-88
DON'T KNOW
100
200
220
300
400
450
480
500
600
700
800
870
900
1000
1200
1300
1400
1480
1500
1600
1700
1750
1800
1900
2000
2100
2180
2200
2400
2500
2560
2600
2620
2700
2800
2850
2900
3000
3200
3280
3300
3400
3500
3600
3700
3800
4000
4200
4500
4600
5000
5500
6000
7000
7400
7500
7750
8000
9000
10000
10425
11000
12000
15000
16000
18000
20000
23000
25000
27000
30000
35000
50000
60000
100000
Sysmiss
Expenditure in July on food
Expenditure in July on food
Expenditure in July on food
Expenditure in July on food
Expenditure in July on food
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
6570
4140
100000
-77777
NOT APPLICABLE
-88
DON'T KNOW
100
200
220
250
300
350
400
500
600
700
750
800
900
1000
1140
1200
1300
1400
1460
1500
1600
1640
1700
1800
1900
2000
2100
2180
2200
2250
2300
2400
2500
2560
2600
2620
2700
2800
2850
2900
3000
3050
3200
3280
3300
3400
3500
3700
3800
3880
4000
4200
4500
4600
4800
5000
5400
5500
6000
6500
7000
7500
8000
9000
9500
10000
10425
10500
11000
12000
13000
14000
15000
16000
18000
20000
23000
25000
30000
35000
50000
60000
100000
Sysmiss
Expenditure in August on food
Expenditure in August on food
Expenditure in August on food
Expenditure in August on food
Expenditure in August on food
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
6570
4140
100000
Expenditure in April on medicine
Expenditure in April on medicine
Expenditure in April on medicine
Expenditure in April on medicine
Expenditure in April on medicine
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
6570
4140
35000
-77777
NOT APPLICABLE
-88
DON'T KNOW
20
25
40
50
60
80
90
100
120
150
180
200
250
300
350
380
400
450
480
500
550
600
650
700
800
900
950
1000
1200
1300
1450
1500
1600
1700
1800
2000
2500
2800
3000
3500
4000
4500
5000
5500
6000
7000
8000
10000
12000
20000
35000
Sysmiss
Expenditure in May on medicine
Expenditure in May on medicine
Expenditure in May on medicine
Expenditure in May on medicine
Expenditure in May on medicine
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
6570
4140
45000
-77777
NOT APPLICABLE
-88
DON'T KNOW
10
20
30
40
50
60
70
80
100
120
150
170
200
250
300
320
350
400
450
480
500
550
600
650
700
750
760
800
850
900
950
1000
1200
1300
1400
1500
1600
1800
2000
2200
2500
2800
2900
3000
3200
3500
3700
3800
4000
4500
5000
6000
6500
7000
8000
10000
11000
12000
15000
30000
40000
45000
Sysmiss
Expenditure in June on medicine
Expenditure in June on medicine
Expenditure in June on medicine
Expenditure in June on medicine
Expenditure in June on medicine
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
6570
4140
45000
-77777
NOT APPLICABLE
-88
DON'T KNOW
20
30
50
60
80
100
150
180
200
250
300
330
350
390
400
410
450
500
550
600
650
700
750
800
850
900
1000
1100
1200
1300
1400
1500
1600
1700
1800
1900
2000
2300
2400
2500
2900
3000
3400
3500
4000
4300
4500
5000
5600
6000
7000
8000
9000
10000
12000
15000
40000
45000
Sysmiss
Expenditure in July on medicine
Expenditure in July on medicine
Expenditure in July on medicine
Expenditure in July on medicine
Expenditure in July on medicine
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
6570
4140
60000
-77777
NOT APPLICABLE
-88
DON'T KNOW
20
40
50
70
80
90
100
150
200
250
280
300
350
360
370
400
450
500
550
600
650
700
750
800
850
900
950
1000
1100
1200
1300
1400
1500
1700
1800
1900
2000
2300
2400
2500
2700
2800
2900
3000
3100
3300
3400
3500
3600
3800
4000
4500
5000
5500
5600
6000
6500
7000
8000
9000
10000
11000
12000
15000
20000
35000
45000
50000
60000
Sysmiss
Expenditure in August on medicine
Expenditure in August on medicine
Expenditure in August on medicine
Expenditure in August on medicine
Expenditure in August on medicine
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
6570
4140
-99999
70000
Expenditure in April on school fees
Expenditure in April on school fees
Expenditure in April on school fees
Expenditure in April on school fees
Expenditure in April on school fees
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
6570
4140
305000
-77777
NOT APPLICABLE
-88
DON'T KNOW
30
100
150
200
300
400
450
500
750
800
1000
1050
1200
1300
1500
1700
1740
1750
1800
1850
1900
2000
2100
2200
2250
2360
2400
2500
2700
2800
3000
3400
3500
3600
3800
4000
4060
4150
4400
4500
5000
5400
5500
6000
7000
7500
7800
8000
8250
8500
8700
8750
9000
9500
10000
11000
11500
11800
15000
24000
26000
26500
30000
50000
85000
305000
Sysmiss
Expenditure in May on school fees
Expenditure in May on school fees
Expenditure in May on school fees
Expenditure in May on school fees
Expenditure in May on school fees
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
6570
4140
20000
-77777
NOT APPLICABLE
-88
DON'T KNOW
100
150
200
250
300
450
500
800
1000
1500
1700
1800
2000
2050
2100
2140
2200
2250
2400
2500
2700
3000
3800
4000
4060
4400
4500
5000
6000
6500
7500
7550
7800
7950
8000
8500
8600
9500
10000
13200
15000
20000
Sysmiss
Expenditure in June on school fees
Expenditure in June on school fees
Expenditure in June on school fees
Expenditure in June on school fees
Expenditure in June on school fees
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
6570
4140
56000
-77777
NOT APPLICABLE
-88
DON'T KNOW
100
150
200
250
300
450
500
800
900
1000
1200
1300
1500
1550
1700
1750
1800
1850
1900
2000
2030
2050
2250
2300
2350
2400
2450
2500
2590
2600
2700
2800
3000
3400
3500
3600
3800
3900
4000
4060
4200
4400
4500
5000
5500
5700
6000
6500
6900
7000
7250
7500
7750
8000
8500
8950
9000
9800
10000
10200
11000
14000
15000
18000
24000
28000
30000
50000
56000
Sysmiss
Expenditure in July on school fees
Expenditure in July on school fees
Expenditure in July on school fees
Expenditure in July on school fees
Expenditure in July on school fees
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
6570
4140
305000
-77777
NOT APPLICABLE
-88
DON'T KNOW
100
150
200
250
300
450
500
1000
1200
1300
1500
1700
1740
1750
1800
1900
2000
2030
2050
2100
2200
2250
2500
2850
3000
3500
3800
4000
4200
4400
4500
5000
5400
5500
6000
7500
7800
8000
8500
8700
9000
9500
10000
11000
11500
11800
12000
26000
26500
85000
305000
Sysmiss
Expenditure in August on school fees
Expenditure in August on school fees
Expenditure in August on school fees
Expenditure in August on school fees
Expenditure in August on school fees
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
6570
4140
85000
Expenditure in April on farm expenditures
Expenditure in April on farm expenditures
Expenditure in April on farm expenditures
Expenditure in April on farm expenditures
Expenditure in April on farm expenditures
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
6570
4140
-99999
100000
-99999
-77777
NOT APPLICABLE
-88
DON'T KNOW
200
300
400
500
600
650
700
800
850
900
950
1000
1200
1300
1400
1500
1600
1700
1800
1900
2000
2250
2300
2400
2500
2700
2800
3000
3400
3500
3600
3950
4000
4500
4800
5000
5400
5500
5600
5700
5800
6000
6800
7000
7500
7800
8000
9000
10000
11000
12000
13000
13600
14000
15000
20000
25000
30000
35000
75000
95000
99000
100000
Sysmiss
Expenditure in May on farm expenditures
Expenditure in May on farm expenditures
Expenditure in May on farm expenditures
Expenditure in May on farm expenditures
Expenditure in May on farm expenditures
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
6570
4140
-99999
100000
-99999
-77777
NOT APPLICABLE
-88
DON'T KNOW
150
200
250
280
300
400
500
600
650
700
750
800
900
1000
1100
1200
1300
1400
1500
1600
1650
1700
1800
2000
2100
2200
2300
2500
2600
2700
2800
2900
3000
3200
3500
3600
3700
4000
4200
4400
4500
4700
5000
5500
5700
5800
6000
6500
7000
7500
7700
8000
9000
10000
11000
12000
13000
14000
15000
18000
20000
24000
25000
30000
35000
50000
100000
Sysmiss
Expenditure in June on farm expenditures
Expenditure in June on farm expenditures
Expenditure in June on farm expenditures
Expenditure in June on farm expenditures
Expenditure in June on farm expenditures
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
6570
4140
-99999
150000
-99999
-77777
NOT APPLICABLE
-88
DON'T KNOW
100
150
200
250
280
300
400
450
500
600
650
700
800
900
1000
1200
1300
1350
1400
1500
1700
1800
2000
2050
2500
2600
2800
3000
3400
3500
3600
3750
3800
4000
4500
4800
5000
5300
5500
5600
6000
6500
7000
7500
8000
8700
9000
10000
10500
11000
12000
13000
15000
16000
20000
22000
25000
30000
32000
35000
37000
40000
44200
60000
70000
100000
105000
150000
Sysmiss
Expenditure in july on farm expenditures
Expenditure in july on farm expenditures
Expenditure in july on farm expenditures
Expenditure in july on farm expenditures
Expenditure in july on farm expenditures
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
6570
4140
-99999
205000
-99999
-77777
NOT APPLICABLE
-88
DON'T KNOW
200
250
300
350
400
450
500
600
700
750
800
900
1000
1200
1400
1500
1600
1700
1800
1900
2000
2200
2300
2500
2700
2800
2950
3000
3500
4000
5000
5500
5800
6000
6300
7000
7500
8000
8500
9000
9500
10000
10500
11000
11500
12000
13000
14000
15000
15700
17000
18000
18450
19000
20000
25000
30000
31000
32000
35000
37000
40000
45000
50000
205000
Sysmiss
Expenditure in August on farm expenditures
Expenditure in August on farm expenditures
Expenditure in August on farm expenditures
Expenditure in August on farm expenditures
Expenditure in August on farm expenditures
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
6570
4140
-99999
300000
Expenditure in April on transport
Expenditure in April on transport
Expenditure in April on transport
Expenditure in April on transport
Expenditure in April on transport
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
6570
4140
-99999
50000
-99999
-77777
NOT APPLICABLE
-88
DON'T KNOW
150
200
250
300
350
400
450
500
600
670
700
750
800
850
900
1000
1150
1200
1250
1300
1350
1400
1500
1600
1700
1800
2000
2300
2400
2500
2600
2800
2900
3000
3200
3500
3600
3700
3900
4000
4500
4900
5000
6000
6500
7000
7500
8000
9000
9500
10000
11500
12000
13000
15000
17000
25000
30000
50000
Sysmiss
Expenditure in May on transport
Expenditure in May on transport
Expenditure in May on transport
Expenditure in May on transport
Expenditure in May on transport
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
6570
4140
-99999
50000
-99999
-77777
NOT APPLICABLE
-88
DON'T KNOW
100
150
200
250
300
350
400
450
470
500
600
650
700
750
800
900
950
1000
1100
1200
1300
1400
1500
1600
1650
1700
1800
2000
2060
2100
2200
2300
2400
2500
2600
2700
2800
2900
3000
3200
3400
3500
3600
3700
3800
4000
4500
5000
5250
5500
6000
6050
7000
7500
8000
9000
9600
10000
10500
12000
13000
15000
17000
20000
30000
35000
50000
Sysmiss
Expenditure in June on transport
Expenditure in June on transport
Expenditure in June on transport
Expenditure in June on transport
Expenditure in June on transport
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
6570
4140
-99999
80000
-99999
-77777
NOT APPLICABLE
-88
DON'T KNOW
100
200
250
300
350
400
450
470
500
560
600
650
700
750
800
900
950
1000
1200
1300
1350
1400
1500
1600
1700
1800
1900
2000
2200
2300
2400
2500
2600
2800
3000
3300
3500
3800
4000
4300
4500
4600
4800
5000
6000
6400
6500
7000
7300
8000
9000
10000
10500
12000
14000
15000
20000
25000
40000
50000
80000
Sysmiss
Expenditure in July on transport
Expenditure in July on transport
Expenditure in July on transport
Expenditure in July on transport
Expenditure in July on transport
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
6570
4140
-99999
50000
-99999
-77777
NOT APPLICABLE
-88
DON'T KNOW
80
100
150
170
200
250
300
350
400
450
500
600
700
750
760
770
800
850
900
950
1000
1100
1150
1200
1250
1300
1400
1500
1600
1700
1800
2000
2200
2400
2500
2600
2700
2800
3000
3200
3500
3800
4000
4500
4800
5000
5400
5500
5600
6000
6400
6500
7000
8000
8800
10000
11000
12000
13500
15000
20000
25000
40000
50000
Sysmiss
Expenditure in August on transport
Expenditure in August on transport
Expenditure in August on transport
Expenditure in August on transport
Expenditure in August on transport
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
6570
4140
-99999
50000
Expenditure in April on other household items
Expenditure in April on other household items
Expenditure in April on other household items
Expenditure in April on other household items
Expenditure in April on other household items
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
6570
4140
-99999
100000
-99999
-77777
NOT APPLICABLE
-88
DON'T KNOW
60
90
100
120
150
160
190
200
230
240
250
300
350
400
450
480
500
540
550
600
640
650
670
700
750
800
850
900
950
1000
1010
1050
1100
1150
1200
1250
1300
1400
1500
1600
1700
1800
1900
2000
2050
2100
2300
2500
2600
2700
2800
2900
3000
3500
3800
4000
4500
4800
5000
5500
6000
6500
7000
8000
9000
10000
11000
12000
14000
15000
20000
22000
25000
28000
30000
45000
50000
58000
62000
70000
80000
95000
100000
Sysmiss
Expenditure in May on other household items
Expenditure in May on other household items
Expenditure in May on other household items
Expenditure in May on other household items
Expenditure in May on other household items
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
6570
4140
-99999
200000
-99999
-77777
NOT APPLICABLE
-88
DON'T KNOW
50
60
80
100
105
150
160
200
250
300
307
350
360
400
450
480
500
550
570
600
650
700
720
750
800
850
900
950
1000
1010
1100
1150
1200
1300
1350
1400
1500
1600
1700
1800
1950
2000
2050
2100
2200
2300
2400
2500
2600
2700
2800
3000
3200
3500
3800
4000
4080
4500
4800
5000
5500
5700
6000
6500
7000
7500
8000
9000
10000
11000
11500
12000
13000
14000
15000
16000
18000
20000
24000
25000
30000
33000
35000
40000
45000
48000
50000
60000
89000
90000
100000
120000
200000
Sysmiss
Expenditure in June on other household items
Expenditure in June on other household items
Expenditure in June on other household items
Expenditure in June on other household items
Expenditure in June on other household items
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
6570
4140
-99999
200000
-99999
-77777
NOT APPLICABLE
-88
DON'T KNOW
60
70
100
105
150
180
200
250
300
350
400
450
480
500
520
550
600
650
700
750
800
900
950
1000
1100
1150
1200
1300
1350
1400
1500
1600
1700
1800
1900
2000
2100
2400
2500
2700
2800
3000
3100
3500
3600
3800
4000
4300
4500
4600
4700
5000
6000
6500
7000
8000
8500
9000
9400
10000
11000
12000
14000
15000
16000
17000
20000
20500
22000
25000
26000
30000
30900
35000
36000
40000
45000
48000
50000
60000
65000
70000
80000
85000
90000
100000
200000
Sysmiss
Expenditure in July on other household items
Expenditure in July on other household items
Expenditure in July on other household items
Expenditure in July on other household items
Expenditure in July on other household items
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
6570
4140
-99999
160000
-99999
-77777
NOT APPLICABLE
-88
DON'T KNOW
60
100
150
160
190
200
250
300
350
400
450
480
500
550
600
700
750
800
895
900
950
980
1000
1100
1150
1200
1290
1300
1400
1500
1550
1600
1700
1750
1800
2000
2050
2300
2400
2500
2600
2700
2800
3000
3100
3300
3500
3600
3800
4000
4200
4500
4800
5000
5500
6000
6500
6700
7000
7500
8000
9000
9700
10000
10500
11000
12000
14000
15000
18000
19000
20000
24000
25000
28000
30000
35000
40000
48000
50000
60000
80000
100000
160000
Sysmiss
Expenditure in August on other household items
Expenditure in August on other household items
Expenditure in August on other household items
Expenditure in August on other household items
Expenditure in August on other household items
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
6570
4140
-99999
200000
How many days in April did you have less than 3 meals?
How many days in April did you have less than 3 meals?
How many days in April did you have less than 3 meals?
How many days in April did you have less than 3 meals?
How many days in April did you have less than 3 meals?
Section B (Revisit Questionnaire)
B2. How many days in [MONTH] will you have less than 3 meals in a day?
6570
4140
30
How many days in May did you have less than 3 meals?
How many days in May did you have less than 3 meals?
How many days in May did you have less than 3 meals?
How many days in May did you have less than 3 meals?
How many days in May did you have less than 3 meals?
Section B (Revisit Questionnaire)
B2. How many days in [MONTH] will you have less than 3 meals in a day?
6570
4140
31
How many days in June did you have less than 3 meals?
How many days in June did you have less than 3 meals?
How many days in June did you have less than 3 meals?
How many days in June did you have less than 3 meals?
How many days in June did you have less than 3 meals?
Section B (Revisit Questionnaire)
B2. How many days in [MONTH] will you have less than 3 meals in a day?
6570
4140
31
How many days in July did you have less than 3 meals?
How many days in July did you have less than 3 meals?
How many days in July did you have less than 3 meals?
How many days in July did you have less than 3 meals?
How many days in July did you have less than 3 meals?
Section B (Revisit Questionnaire)
B2. How many days in [MONTH] will you have less than 3 meals in a day?
6570
4140
-9
31
How many days in August did you have less than 3 meals?
How many days in August did you have less than 3 meals?
How many days in August did you have less than 3 meals?
How many days in August did you have less than 3 meals?
How many days in August did you have less than 3 meals?
Section B (Revisit Questionnaire)
B2. How many days in [MONTH] will you have less than 3 meals in a day?
6570
4140
-9
31
How many days in April did children have less than 3 meals?
How many days in April did children have less than 3 meals?
How many days in April did children have less than 3 meals?
How many days in April did children have less than 3 meals?
How many days in April did children have less than 3 meals?
Section B (Revisit Questionnaire)
B3. How many days in [MONTH] will you have less than 3 meals in a day?
6570
4140
-7
31
How many days in May did children have less than 3 meals?
How many days in May did children have less than 3 meals?
How many days in May did children have less than 3 meals?
How many days in May did children have less than 3 meals?
How many days in May did children have less than 3 meals?
Section B (Revisit Questionnaire)
B3. How many days in [MONTH] will you have less than 3 meals in a day?
6570
4140
-7
31
How many days in June did children have less than 3 meals?
How many days in June did children have less than 3 meals?
How many days in June did children have less than 3 meals?
How many days in June did children have less than 3 meals?
How many days in June did children have less than 3 meals?
Section B (Revisit Questionnaire)
B3. How many days in [MONTH] will you have less than 3 meals in a day?
6570
4140
-7
31
How many days in July did children have less than 3 meals?
How many days in July did children have less than 3 meals?
How many days in July did children have less than 3 meals?
How many days in July did children have less than 3 meals?
How many days in July did children have less than 3 meals?
Section B (Revisit Questionnaire)
B3. How many days in [MONTH] will you have less than 3 meals in a day?
6570
4140
-9
31
How many days in August did children have less than 3 meals?
How many days in August did children have less than 3 meals?
How many days in August did children have less than 3 meals?
How many days in August did children have less than 3 meals?
How many days in August did children have less than 3 meals?
Section B (Revisit Questionnaire)
B3. How many days in [MONTH] will you have less than 3 meals in a day?
6570
4140
-9
99
Change in later consumption upon revisiting
Change in later consumption upon revisiting
Change in later consumption upon revisiting
Change in later consumption upon revisiting
Change in later consumption upon revisiting
3305
7405
-4000
3000
Change in sooner consumption upon revisiting
Change in sooner consumption upon revisiting
Change in sooner consumption upon revisiting
Change in sooner consumption upon revisiting
Change in sooner consumption upon revisiting
3290
7420
-2000
2100
revisions present biased
revisions present biased
revisions present biased
revisions present biased
revisions present biased
3315
7395
1
1
Sysmiss
revisions future biased
revisions future biased
revisions future biased
revisions future biased
revisions future biased
3315
7395
1
1
Sysmiss
(mean) qualflag
(mean) qualflag
(mean) qualflag
(mean) qualflag
(mean) qualflag
10710
1
1
(mean) rlspsdiffc_f_soon
(mean) rlspsdiffc_f_soon
(mean) rlspsdiffc_f_soon
(mean) rlspsdiffc_f_soon
(mean) rlspsdiffc_f_soon
10710
-20
19
(mean) imple_rbasis
(mean) imple_rbasis
(mean) imple_rbasis
(mean) imple_rbasis
(mean) imple_rbasis
10390
320
-166.6
123.529
(mean) timeprefA
(mean) timeprefA
(mean) timeprefA
(mean) timeprefA
(mean) timeprefA
10710
1
1
(mean) commitmentsavings
(mean) commitmentsavings
(mean) commitmentsavings
(mean) commitmentsavings
(mean) commitmentsavings
10710
1
1
(mean) ordinarysavings
(mean) ordinarysavings
(mean) ordinarysavings
(mean) ordinarysavings
(mean) ordinarysavings
10710
1
1
(mean) wealth_bline_M
(mean) wealth_bline_M
(mean) wealth_bline_M
(mean) wealth_bline_M
(mean) wealth_bline_M
10710
4
69502.5
(mean) z13_day
(mean) z13_day
(mean) z13_day
(mean) z13_day
(mean) z13_day
10710
1
31
(mean) z13_month
(mean) z13_month
(mean) z13_month
(mean) z13_month
(mean) z13_month
10710
1
2
1
2
Male
Male
Male
Male
Male
10710
1
1
(mean) numinvillage
(mean) numinvillage
(mean) numinvillage
(mean) numinvillage
(mean) numinvillage
10710
4000
Number of relatives in the village
Number of relatives in the village
Number of relatives in the village
Number of relatives in the village
Number of relatives in the village
10710
132
Have adequate maize
Have adequate maize
Have adequate maize
Have adequate maize
Have adequate maize
10710
1
1
(mean) maizemissing
(mean) maizemissing
(mean) maizemissing
(mean) maizemissing
(mean) maizemissing
10710
1
1
Less than 35 yrs old
Less than 35 yrs old
Less than 35 yrs old
Less than 35 yrs old
Less than 35 yrs old
10710
1
1
35-37 yrs old
35-37 yrs old
35-37 yrs old
35-37 yrs old
35-37 yrs old
10710
1
1
(mean) older
(mean) older
(mean) older
(mean) older
(mean) older
10710
1
1
(mean) no_school
(mean) no_school
(mean) no_school
(mean) no_school
(mean) no_school
10710
1
1
Some primary school
Some primary school
Some primary school
Some primary school
Some primary school
10710
1
1
Primary school
Primary school
Primary school
Primary school
Primary school
10710
1
1
More than primary school
More than primary school
More than primary school
More than primary school
More than primary school
10710
1
1
Words recalled
Words recalled
Words recalled
Words recalled
Words recalled
10710
10
1
2
3
4
5
6
7
8
9
10
(mean) wrdrecal_1sq
(mean) wrdrecal_1sq
(mean) wrdrecal_1sq
(mean) wrdrecal_1sq
(mean) wrdrecal_1sq
10710
100
(mean) wrdrecal_2
(mean) wrdrecal_2
(mean) wrdrecal_2
(mean) wrdrecal_2
(mean) wrdrecal_2
10710
9
1
2
3
4
5
6
7
8
9
(mean) wrdrecal_2sq
(mean) wrdrecal_2sq
(mean) wrdrecal_2sq
(mean) wrdrecal_2sq
(mean) wrdrecal_2sq
10710
81
(mean) rm1_correct
(mean) rm1_correct
(mean) rm1_correct
(mean) rm1_correct
(mean) rm1_correct
10710
1
1
(mean) rm2_correct
(mean) rm2_correct
(mean) rm2_correct
(mean) rm2_correct
(mean) rm2_correct
10710
1
1
(mean) rm3_correct
(mean) rm3_correct
(mean) rm3_correct
(mean) rm3_correct
(mean) rm3_correct
10710
1
1
Raven's Tests correct
Raven's Tests correct
Raven's Tests correct
Raven's Tests correct
Raven's Tests correct
10710
3
1
2
3
(mean) finlit_1
(mean) finlit_1
(mean) finlit_1
(mean) finlit_1
(mean) finlit_1
10710
1
1
(mean) finlit_dk_1
(mean) finlit_dk_1
(mean) finlit_dk_1
(mean) finlit_dk_1
(mean) finlit_dk_1
10710
1
1
(mean) finlit_2
(mean) finlit_2
(mean) finlit_2
(mean) finlit_2
(mean) finlit_2
10710
1
1
(mean) finlit_dk_2
(mean) finlit_dk_2
(mean) finlit_dk_2
(mean) finlit_dk_2
(mean) finlit_dk_2
10710
1
1
(mean) finlit_3
(mean) finlit_3
(mean) finlit_3
(mean) finlit_3
(mean) finlit_3
10710
1
1
(mean) finlit_dk_3
(mean) finlit_dk_3
(mean) finlit_dk_3
(mean) finlit_dk_3
(mean) finlit_dk_3
10710
1
1
Financial literacy questions correct
Financial literacy questions correct
Financial literacy questions correct
Financial literacy questions correct
Financial literacy questions correct
10710
3
1
2
3
(mean) finlit_dk_total
(mean) finlit_dk_total
(mean) finlit_dk_total
(mean) finlit_dk_total
(mean) finlit_dk_total
10710
3
1
2
3
(mean) a1
(mean) a1
(mean) a1
(mean) a1
(mean) a1
10710
18
95
(mean) a2
(mean) a2
(mean) a2
(mean) a2
(mean) a2
10710
-99
95
(mean) a4
(mean) a4
(mean) a4
(mean) a4
(mean) a4
10710
77
(mean) b1_100
(mean) b1_100
(mean) b1_100
(mean) b1_100
(mean) b1_100
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
(mean) b1_110
(mean) b1_110
(mean) b1_110
(mean) b1_110
(mean) b1_110
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
(mean) b2_100
(mean) b2_100
(mean) b2_100
(mean) b2_100
(mean) b2_100
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
(mean) b2_125
(mean) b2_125
(mean) b2_125
(mean) b2_125
(mean) b2_125
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
(mean) b3_100
(mean) b3_100
(mean) b3_100
(mean) b3_100
(mean) b3_100
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
(mean) b3_150
(mean) b3_150
(mean) b3_150
(mean) b3_150
(mean) b3_150
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
(mean) b4_100
(mean) b4_100
(mean) b4_100
(mean) b4_100
(mean) b4_100
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
(mean) b4_175
(mean) b4_175
(mean) b4_175
(mean) b4_175
(mean) b4_175
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
(mean) b5_100
(mean) b5_100
(mean) b5_100
(mean) b5_100
(mean) b5_100
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
(mean) b5_200
(mean) b5_200
(mean) b5_200
(mean) b5_200
(mean) b5_200
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
(mean) b6_100
(mean) b6_100
(mean) b6_100
(mean) b6_100
(mean) b6_100
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
(mean) b6_110
(mean) b6_110
(mean) b6_110
(mean) b6_110
(mean) b6_110
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
(mean) b7_100
(mean) b7_100
(mean) b7_100
(mean) b7_100
(mean) b7_100
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
(mean) b7_125
(mean) b7_125
(mean) b7_125
(mean) b7_125
(mean) b7_125
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
(mean) b8_100
(mean) b8_100
(mean) b8_100
(mean) b8_100
(mean) b8_100
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
(mean) b8_150
(mean) b8_150
(mean) b8_150
(mean) b8_150
(mean) b8_150
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
(mean) b9_100
(mean) b9_100
(mean) b9_100
(mean) b9_100
(mean) b9_100
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
(mean) b9_175
(mean) b9_175
(mean) b9_175
(mean) b9_175
(mean) b9_175
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
(mean) b10_100
(mean) b10_100
(mean) b10_100
(mean) b10_100
(mean) b10_100
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
(mean) b10_200
(mean) b10_200
(mean) b10_200
(mean) b10_200
(mean) b10_200
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
Implemented interest rate \{.1, .25, .5, .75, 1\}
Implemented interest rate \{.1, .25, .5, .75, 1\}
Implemented interest rate \{.1, .25, .5, .75, 1\}
Implemented interest rate \{.1, .25, .5, .75, 1\}
Implemented interest rate \{.1, .25, .5, .75, 1\}
10710
0.1
1
merge variable
merge variable
merge variable
merge variable
merge variable
10710
2
3
2
3
Indicator: death in the family
Indicator: death in the family
Indicator: death in the family
Indicator: death in the family
Indicator: death in the family
6570
4140
1
1
Sysmiss
change in total household expenditure
change in total household expenditure
change in total household expenditure
change in total household expenditure
change in total household expenditure
7270
3440
-5100
21050
Shortfall in expected HH income (MK)
Shortfall in expected HH income (MK)
Shortfall in expected HH income (MK)
Shortfall in expected HH income (MK)
Shortfall in expected HH income (MK)
7270
3440
-4302
13735
indiv own transfer card
indiv own transfer card
indiv own transfer card
indiv own transfer card
indiv own transfer card
10710
1
10
1
2
3
4
5
6
7
8
9
10
indiv own tokens - sooner
indiv own tokens - sooner
indiv own tokens - sooner
indiv own tokens - sooner
indiv own tokens - sooner
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
indiv own tokens - later
indiv own tokens - later
indiv own tokens - later
indiv own tokens - later
indiv own tokens - later
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
indiv own in mk - sooner
indiv own in mk - sooner
indiv own in mk - sooner
indiv own in mk - sooner
indiv own in mk - sooner
10710
2000
indiv own in mk - later
indiv own in mk - later
indiv own in mk - later
indiv own in mk - later
indiv own in mk - later
10710
4000
(mean) b1_100
(mean) b1_100
(mean) b1_100
(mean) b1_100
(mean) b1_100
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
(mean) b1_110
(mean) b1_110
(mean) b1_110
(mean) b1_110
(mean) b1_110
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
(mean) b2_100
(mean) b2_100
(mean) b2_100
(mean) b2_100
(mean) b2_100
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
(mean) b2_125
(mean) b2_125
(mean) b2_125
(mean) b2_125
(mean) b2_125
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
(mean) b3_100
(mean) b3_100
(mean) b3_100
(mean) b3_100
(mean) b3_100
10710
-9
20
(mean) b3_150
(mean) b3_150
(mean) b3_150
(mean) b3_150
(mean) b3_150
10710
-9
20
(mean) b4_100
(mean) b4_100
(mean) b4_100
(mean) b4_100
(mean) b4_100
10710
-9
20
(mean) b4_175
(mean) b4_175
(mean) b4_175
(mean) b4_175
(mean) b4_175
10710
-9
20
(mean) b5_100
(mean) b5_100
(mean) b5_100
(mean) b5_100
(mean) b5_100
10710
-9
20
(mean) b5_200
(mean) b5_200
(mean) b5_200
(mean) b5_200
(mean) b5_200
10710
-9
20
(mean) b6_100
(mean) b6_100
(mean) b6_100
(mean) b6_100
(mean) b6_100
10710
-9
20
(mean) b6_110
(mean) b6_110
(mean) b6_110
(mean) b6_110
(mean) b6_110
10710
-9
20
(mean) b7_100
(mean) b7_100
(mean) b7_100
(mean) b7_100
(mean) b7_100
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
(mean) b7_125
(mean) b7_125
(mean) b7_125
(mean) b7_125
(mean) b7_125
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
(mean) b8_100
(mean) b8_100
(mean) b8_100
(mean) b8_100
(mean) b8_100
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
(mean) b8_150
(mean) b8_150
(mean) b8_150
(mean) b8_150
(mean) b8_150
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
(mean) b9_100
(mean) b9_100
(mean) b9_100
(mean) b9_100
(mean) b9_100
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
(mean) b9_175
(mean) b9_175
(mean) b9_175
(mean) b9_175
(mean) b9_175
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
(mean) b10_100
(mean) b10_100
(mean) b10_100
(mean) b10_100
(mean) b10_100
10710
-9
20
(mean) b10_200
(mean) b10_200
(mean) b10_200
(mean) b10_200
(mean) b10_200
10710
-9
20
(mean) qualflag
(mean) qualflag
(mean) qualflag
(mean) qualflag
(mean) qualflag
10710
1
1
(mean) timeprefA
(mean) timeprefA
(mean) timeprefA
(mean) timeprefA
(mean) timeprefA
10710
1
1
(mean) wealth_bline_M
(mean) wealth_bline_M
(mean) wealth_bline_M
(mean) wealth_bline_M
(mean) wealth_bline_M
10710
4
69502.5
(mean) frac_posdcs
(mean) frac_posdcs
(mean) frac_posdcs
(mean) frac_posdcs
(mean) frac_posdcs
10710
0.125
1
(mean) relatives
(mean) relatives
(mean) relatives
(mean) relatives
(mean) relatives
10695
15
132
(mean) havemaize
(mean) havemaize
(mean) havemaize
(mean) havemaize
(mean) havemaize
10710
1
1
(mean) younger
(mean) younger
(mean) younger
(mean) younger
(mean) younger
10710
1
1
(mean) middleage
(mean) middleage
(mean) middleage
(mean) middleage
(mean) middleage
10710
1
1
(mean) some_primary
(mean) some_primary
(mean) some_primary
(mean) some_primary
(mean) some_primary
10710
1
1
(mean) primary
(mean) primary
(mean) primary
(mean) primary
(mean) primary
10710
1
1
(mean) morethan_primary
(mean) morethan_primary
(mean) morethan_primary
(mean) morethan_primary
(mean) morethan_primary
10710
1
1
(mean) wrdrecal_1
(mean) wrdrecal_1
(mean) wrdrecal_1
(mean) wrdrecal_1
(mean) wrdrecal_1
10710
10
1
2
3
4
5
6
7
8
9
10
(mean) ravens
(mean) ravens
(mean) ravens
(mean) ravens
(mean) ravens
10710
3
1
2
3
(mean) finlit_total
(mean) finlit_total
(mean) finlit_total
(mean) finlit_total
(mean) finlit_total
10710
3
1
2
3
(mean) presbias
(mean) presbias
(mean) presbias
(mean) presbias
(mean) presbias
10710
1
(mean) presbias_2
(mean) presbias_2
(mean) presbias_2
(mean) presbias_2
(mean) presbias_2
10710
1
(mean) futurebias
(mean) futurebias
(mean) futurebias
(mean) futurebias
(mean) futurebias
10710
1
(mean) futurebias_2
(mean) futurebias_2
(mean) futurebias_2
(mean) futurebias_2
(mean) futurebias_2
10710
1
(mean) consistent
(mean) consistent
(mean) consistent
(mean) consistent
(mean) consistent
10710
1
(mean) consistent_2
(mean) consistent_2
(mean) consistent_2
(mean) consistent_2
(mean) consistent_2
10710
1
(mean) fracconsis
(mean) fracconsis
(mean) fracconsis
(mean) fracconsis
(mean) fracconsis
10710
1
(mean) fracpb_2
(mean) fracpb_2
(mean) fracpb_2
(mean) fracpb_2
(mean) fracpb_2
10710
1
(mean) fracconsis_2
(mean) fracconsis_2
(mean) fracconsis_2
(mean) fracconsis_2
(mean) fracconsis_2
10710
1
spouse's transfer card
spouse's transfer card
spouse's transfer card
spouse's transfer card
spouse's transfer card
10710
1
10
1
2
3
4
5
6
7
8
9
10
spouse's tokens - sooner
spouse's tokens - sooner
spouse's tokens - sooner
spouse's tokens - sooner
spouse's tokens - sooner
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
spouse's tokens - later
spouse's tokens - later
spouse's tokens - later
spouse's tokens - later
spouse's tokens - later
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
spouse's in mk - sooner
spouse's in mk - sooner
spouse's in mk - sooner
spouse's in mk - sooner
spouse's in mk - sooner
10710
2000
spouse's in mk - later
spouse's in mk - later
spouse's in mk - later
spouse's in mk - later
spouse's in mk - later
10710
4000
gap in tokens
gap in tokens
gap in tokens
gap in tokens
gap in tokens
10710
-20
20
gap in mk
gap in mk
gap in mk
gap in mk
gap in mk
10675
35
-4000
4000
which surveys
which surveys
which surveys
which surveys
which surveys
10445
265
1
6
1
Baseline=1 ; Middle=0 ; Endline=1
2
Baseline=1 ; Middle=1 ; Endline=1
3
Baseline=1 ; Middle=0 ; Endline=0
4
Baseline=1 ; Middle=1 ; Endline=0
5
Baseline=0 ; Middle=0 ; Endline=1
6
Baseline=0 ; Middle=1 ; Endline=1
7
Baseline=0 ; Middle=1 ; Endline=0
Sysmiss
Randomization Strat var
Randomization Strat var
Randomization Strat var
Randomization Strat var
Randomization Strat var
10405
305
12
23
Pilot
1
Chatoloma 2 (AO-FC/B) - Mar 4-5
2
Chatoloma 1 (AO-FC) - Mar 6-7
3
Chatoloma 1 (AO-B) - Mar 6-7
4
Chatoloma 1 (AO-B) - Mar 9-10
5
Chatoloma 1 (AO-FC) - Mar 9-10
6
Chisinga (AO-FC) - Mar 12-14
7
Chisinga (AO-B) - Mar 12-14
8
Chisinga (AO-B) - Mar 16
9
Kasungu Central (AO-FC) - Mar 17-20
10
Kasungu Central (AO-B) - Mar 17-20
11
Chamwabvi (AO-B) - Mar 23-25
12
Mponela (AO-FC) - Mar 27-28
13
Mponela (AO-B) - Mar 27-28
14
Dzoole (AO-FC) - Mar 31-April 2
15
Dzoole (AO-B) - Mar 31-April 2
16
Chisepo (LL-DF) - Apr 2-3
17
Nachisaka (LL-DF) - Apr 6-7
18
Chibvala (LL-DF) - Apr 9-10
19
Nachisaka (LL-DF) - Apr 14-15
20
Mponela (LL-DF) - Apr 16-17
21
Mndolera (LL-DF) - Apr 18-20
22
Madisi (LL-DF) - Apr 21-22
23
Bowe (LL-DF) - Apr 23
Sysmiss
[HS14d]0/1: fixed deposit account at OIBM
[HS14d]0/1: fixed deposit account at OIBM
[HS14d]0/1: fixed deposit account at OIBM
[HS14d]0/1: fixed deposit account at OIBM
[HS14d]0/1: fixed deposit account at OIBM
9760
950
1
11
.B
[HS14]0/1: Any fixed deposit account, non-OIBM
[HS14]0/1: Any fixed deposit account, non-OIBM
[HS14]0/1: Any fixed deposit account, non-OIBM
[HS14]0/1: Any fixed deposit account, non-OIBM
[HS14]0/1: Any fixed deposit account, non-OIBM
9850
860
1
1
Sysmiss
[HS14]0/1: Any fixed deposit account, any bank
[HS14]0/1: Any fixed deposit account, any bank
[HS14]0/1: Any fixed deposit account, any bank
[HS14]0/1: Any fixed deposit account, any bank
[HS14]0/1: Any fixed deposit account, any bank
9850
860
1
1
Sysmiss
Treatment Group
Treatment Group
Treatment Group
Treatment Group
Treatment Group
10445
265
6
Control
1
Ordinary, no raffle
2
Ordinary, public raffle
3
Ordinary, private raffle
4
Commitment, no raffle
5
Commitment, public raffle
6
Commitment, private raffle
Sysmiss
[TR](MK)Total transfers received
[TR](MK)Total transfers received
[TR](MK)Total transfers received
[TR](MK)Total transfers received
[TR](MK)Total transfers received
9850
860
200000
[TR](MK)Total transfers received;TRIM(0&99)
[TR](MK)Total transfers received;TRIM(0&99)
[TR](MK)Total transfers received;TRIM(0&99)
[TR](MK)Total transfers received;TRIM(0&99)
[TR](MK)Total transfers received;TRIM(0&99)
9850
860
29000
trimmed at 0 and 99 percentiles
[TR](MK)transfers received, big gift<=Oct09
[TR](MK)transfers received, big gift<=Oct09
[TR](MK)transfers received, big gift<=Oct09
[TR](MK)transfers received, big gift<=Oct09
[TR](MK)transfers received, big gift<=Oct09
9850
860
70000
[TR](MK)transfers received, big gift<=Oct09;TRIM(0&99);
[TR](MK)transfers received, big gift<=Oct09;TRIM(0&99);
[TR](MK)transfers received, big gift<=Oct09;TRIM(0&99);
[TR](MK)transfers received, big gift<=Oct09;TRIM(0&99);
[TR](MK)transfers received, big gift<=Oct09;TRIM(0&99);
9850
860
10000
trimmed at 0 and 99 percentiles
[TR](MK)Total transfers sent
[TR](MK)Total transfers sent
[TR](MK)Total transfers sent
[TR](MK)Total transfers sent
[TR](MK)Total transfers sent
9850
860
205000
[TR](MK)transfers sent, big gift<=Oct09
[TR](MK)transfers sent, big gift<=Oct09
[TR](MK)transfers sent, big gift<=Oct09
[TR](MK)transfers sent, big gift<=Oct09
[TR](MK)transfers sent, big gift<=Oct09
9850
860
201000
[TR](MK)transfers sent, big gift<=Oct09;TRIM(0&99);
[TR](MK)transfers sent, big gift<=Oct09;TRIM(0&99);
[TR](MK)transfers sent, big gift<=Oct09;TRIM(0&99);
[TR](MK)transfers sent, big gift<=Oct09;TRIM(0&99);
[TR](MK)transfers sent, big gift<=Oct09;TRIM(0&99);
9850
860
10000
trimmed at 0 and 99 percentiles
abrlspsdiffc_f_soon
abrlspsdiffc_f_soon
abrlspsdiffc_f_soon
abrlspsdiffc_f_soon
abrlspsdiffc_f_soon
10710
20
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
spsdiffpos
spsdiffpos
spsdiffpos
spsdiffpos
spsdiffpos
10710
1
1
pos_abrlspsdiffc_f_soon
pos_abrlspsdiffc_f_soon
pos_abrlspsdiffc_f_soon
pos_abrlspsdiffc_f_soon
pos_abrlspsdiffc_f_soon
10710
19
1
2
3
4
5
6
7
8
9
10
11
12
13
15
16
18
19
actual lag squared
actual lag squared
actual lag squared
actual lag squared
actual lag squared
3310
7400
256
pb lag interaction
pb lag interaction
pb lag interaction
pb lag interaction
pb lag interaction
3310
7400
16
net transfers
net transfers
net transfers
net transfers
net transfers
9790
920
-162200
70000
ini_pb_sim
ini_pb_sim
ini_pb_sim
ini_pb_sim
ini_pb_sim
10710
1
1
club registration number
club registration number
club registration number
club registration number
club registration number
10710
220525
902176
Commitment Savings respondent ID / Revising Commitment HH ID
Commitment Savings respondent ID / Revising Commitment HH ID
Commitment Savings respondent ID / Revising Commitment HH ID
Commitment Savings respondent ID / Revising Commitment HH ID
Commitment Savings respondent ID / Revising Commitment HH ID
10405
305
125145301
325936510
0/1:male RC voucher holder
0/1:male RC voucher holder
0/1:male RC voucher holder
0/1:male RC voucher holder
0/1:male RC voucher holder
10405
305
1
1
Sysmiss
0/1:treatment=tmrw/1month (vs 2m/3m)
0/1:treatment=tmrw/1month (vs 2m/3m)
0/1:treatment=tmrw/1month (vs 2m/3m)
0/1:treatment=tmrw/1month (vs 2m/3m)
0/1:treatment=tmrw/1month (vs 2m/3m)
10405
305
1
1
Sysmiss
treatment:interest rate offered
treatment:interest rate offered
treatment:interest rate offered
treatment:interest rate offered
treatment:interest rate offered
10405
305
10
100
urea per acre
urea per acre
urea per acre
urea per acre
urea per acre
10685
25
300
spouse biase - sooner - in mk
spouse biase - sooner - in mk
spouse biase - sooner - in mk
spouse biase - sooner - in mk
spouse biase - sooner - in mk
10510
200
-2000
2000
spouse bias - all - sooner
spouse bias - all - sooner
spouse bias - all - sooner
spouse bias - all - sooner
spouse bias - all - sooner
10705
5
-1850
1850
Spouse minus own allocation to sooner (MK)
Spouse minus own allocation to sooner (MK)
Spouse minus own allocation to sooner (MK)
Spouse minus own allocation to sooner (MK)
Spouse minus own allocation to sooner (MK)
10695
15
-1833.333
1833.333
spouse bias - near
spouse bias - near
spouse bias - near
spouse bias - near
spouse bias - near
10620
90
-2000
2000
spouse bias - far
spouse bias - far
spouse bias - far
spouse bias - far
spouse bias - far
10650
60
-2000
2000
spouse bias imp
spouse bias imp
spouse bias imp
spouse bias imp
spouse bias imp
7150
3560
-2000
2000
spouse bias non-imp far
spouse bias non-imp far
spouse bias non-imp far
spouse bias non-imp far
spouse bias non-imp far
7245
3465
-1875
1875
1 treatment
1 treatment
1 treatment
1 treatment
1 treatment
10710
1
1
2 treatment
2 treatment
2 treatment
2 treatment
2 treatment
10710
1
1
3 treatment
3 treatment
3 treatment
3 treatment
3 treatment
10710
1
1
4 treatment
4 treatment
4 treatment
4 treatment
4 treatment
10710
1
1
5 treatment
5 treatment
5 treatment
5 treatment
5 treatment
10710
1
1
6 treatment
6 treatment
6 treatment
6 treatment
6 treatment
10710
1
1
Difference between Soon and Far:MK in two months, for r=0.1
Difference between Soon and Far:MK in two months, for r=0.1
Difference between Soon and Far:MK in two months, for r=0.1
Difference between Soon and Far:MK in two months, for r=0.1
Difference between Soon and Far:MK in two months, for r=0.1
10625
85
-2000
2000
Difference between Soon and Far:MK in two months, for r=0.25
Difference between Soon and Far:MK in two months, for r=0.25
Difference between Soon and Far:MK in two months, for r=0.25
Difference between Soon and Far:MK in two months, for r=0.25
Difference between Soon and Far:MK in two months, for r=0.25
10620
90
-2000
2000
Difference between Soon and Far:MK in two months, for r=0.50
Difference between Soon and Far:MK in two months, for r=0.50
Difference between Soon and Far:MK in two months, for r=0.50
Difference between Soon and Far:MK in two months, for r=0.50
Difference between Soon and Far:MK in two months, for r=0.50
10645
65
-2000
2000
Difference between Soon and Far:MK in two months, for r=0.75
Difference between Soon and Far:MK in two months, for r=0.75
Difference between Soon and Far:MK in two months, for r=0.75
Difference between Soon and Far:MK in two months, for r=0.75
Difference between Soon and Far:MK in two months, for r=0.75
10670
40
-2000
2000
Difference between Soon and Far:MK in two months, for r=1.00
Difference between Soon and Far:MK in two months, for r=1.00
Difference between Soon and Far:MK in two months, for r=1.00
Difference between Soon and Far:MK in two months, for r=1.00
Difference between Soon and Far:MK in two months, for r=1.00
10670
40
-2000
2000
pb all
pb all
pb all
pb all
pb all
10705
5
-2000
2000
pb non-imp
pb non-imp
pb non-imp
pb non-imp
pb non-imp
10700
10
-2000
2000
pb imp
pb imp
pb imp
pb imp
pb imp
10650
60
-2000
2000
Indicator: days to first disbursement (targeted) $\leq 6$
Indicator: days to first disbursement (targeted) $\leq 6$
Indicator: days to first disbursement (targeted) $\leq 6$
Indicator: days to first disbursement (targeted) $\leq 6$
Indicator: days to first disbursement (targeted) $\leq 6$
3610
7100
1
1
Sysmiss
target lag 7-11
target lag 7-11
target lag 7-11
target lag 7-11
target lag 7-11
3610
7100
1
1
Sysmiss
target lag 12-16
target lag 12-16
target lag 12-16
target lag 12-16
target lag 12-16
3610
7100
1
1
Sysmiss
HH total bank-BL
HH total bank-BL
HH total bank-BL
HH total bank-BL
HH total bank-BL
10710
540
HH case-BL
HH case-BL
HH case-BL
HH case-BL
HH case-BL
10710
340
exp income-BL
exp income-BL
exp income-BL
exp income-BL
exp income-BL
10710
1377
exp rev-BL
exp rev-BL
exp rev-BL
exp rev-BL
exp rev-BL
10710
1335
from selling items-BL
from selling items-BL
from selling items-BL
from selling items-BL
from selling items-BL
10710
5882.9
from selling animals-BL
from selling animals-BL
from selling animals-BL
from selling animals-BL
from selling animals-BL
10710
1236
Baseline wealth (100s of MK)
Baseline wealth (100s of MK)
Baseline wealth (100s of MK)
Baseline wealth (100s of MK)
Baseline wealth (100s of MK)
10710
0.4
6950.25
(mean) younger
(mean) younger
(mean) younger
(mean) younger
(mean) younger
10700
10
1
1
Sysmiss
(mean) middleage
(mean) middleage
(mean) middleage
(mean) middleage
(mean) middleage
10700
10
1
1
Sysmiss
(mean) a1
(mean) a1
(mean) a1
(mean) a1
(mean) a1
10700
10
18
87
(mean) younger
(mean) younger
(mean) younger
(mean) younger
(mean) younger
10710
1
1
(mean) middleage
(mean) middleage
(mean) middleage
(mean) middleage
(mean) middleage
10710
1
1
(mean) a1
(mean) a1
(mean) a1
(mean) a1
(mean) a1
10710
20
95
spouse age
spouse age
spouse age
spouse age
spouse age
10710
18
95
own_sooner_far_imp
own_sooner_far_imp
own_sooner_far_imp
own_sooner_far_imp
own_sooner_far_imp
7290
3420
2000
dummy C1 1
dummy C1 1
dummy C1 1
dummy C1 1
dummy C1 1
3290
7420
-2000
2100
dummy C1 1
dummy C1 1
dummy C1 1
dummy C1 1
dummy C1 1
3290
7420
-2000
2100
indicator present bias 2, int. rate=0.10
indicator present bias 2, int. rate=0.10
indicator present bias 2, int. rate=0.10
indicator present bias 2, int. rate=0.10
indicator present bias 2, int. rate=0.10
10710
1
1
indicator present bias 2, int. rate=0.25
indicator present bias 2, int. rate=0.25
indicator present bias 2, int. rate=0.25
indicator present bias 2, int. rate=0.25
indicator present bias 2, int. rate=0.25
10710
1
1
indicator present bias 2, int. rate=0.50
indicator present bias 2, int. rate=0.50
indicator present bias 2, int. rate=0.50
indicator present bias 2, int. rate=0.50
indicator present bias 2, int. rate=0.50
10710
1
1
indicator present bias 2, int. rate=0.75
indicator present bias 2, int. rate=0.75
indicator present bias 2, int. rate=0.75
indicator present bias 2, int. rate=0.75
indicator present bias 2, int. rate=0.75
10710
1
1
indicator present bias 2, int. rate=1.0
indicator present bias 2, int. rate=1.0
indicator present bias 2, int. rate=1.0
indicator present bias 2, int. rate=1.0
indicator present bias 2, int. rate=1.0
10710
1
1
indicator future bias 2, int. rate=0.10
indicator future bias 2, int. rate=0.10
indicator future bias 2, int. rate=0.10
indicator future bias 2, int. rate=0.10
indicator future bias 2, int. rate=0.10
10710
1
1
indicator future bias 2, int. rate=0.25
indicator future bias 2, int. rate=0.25
indicator future bias 2, int. rate=0.25
indicator future bias 2, int. rate=0.25
indicator future bias 2, int. rate=0.25
10710
1
1
indicator future bias 2, int. rate=0.50
indicator future bias 2, int. rate=0.50
indicator future bias 2, int. rate=0.50
indicator future bias 2, int. rate=0.50
indicator future bias 2, int. rate=0.50
10710
1
1
indicator future bias 2, int. rate=0.75
indicator future bias 2, int. rate=0.75
indicator future bias 2, int. rate=0.75
indicator future bias 2, int. rate=0.75
indicator future bias 2, int. rate=0.75
10710
1
1
indicator future bias 2, int. rate=1.0
indicator future bias 2, int. rate=1.0
indicator future bias 2, int. rate=1.0
indicator future bias 2, int. rate=1.0
indicator future bias 2, int. rate=1.0
10710
1
1
indicator present bias, int. rate=0.10
indicator present bias, int. rate=0.10
indicator present bias, int. rate=0.10
indicator present bias, int. rate=0.10
indicator present bias, int. rate=0.10
10710
1
1
indicator present bias, int. rate=0.25
indicator present bias, int. rate=0.25
indicator present bias, int. rate=0.25
indicator present bias, int. rate=0.25
indicator present bias, int. rate=0.25
10710
1
1
indicator present bias, int. rate=0.50
indicator present bias, int. rate=0.50
indicator present bias, int. rate=0.50
indicator present bias, int. rate=0.50
indicator present bias, int. rate=0.50
10710
1
1
indicator present bias, int. rate=0.75
indicator present bias, int. rate=0.75
indicator present bias, int. rate=0.75
indicator present bias, int. rate=0.75
indicator present bias, int. rate=0.75
10710
1
1
indicator present bias, int. rate=1.0
indicator present bias, int. rate=1.0
indicator present bias, int. rate=1.0
indicator present bias, int. rate=1.0
indicator present bias, int. rate=1.0
10710
1
1
spouse's bias, non-imp, wt
spouse's bias, non-imp, wt
spouse's bias, non-imp, wt
spouse's bias, non-imp, wt
spouse's bias, non-imp, wt
7285
3425
-1880.808
1880.808
present bias - wt
present bias - wt
present bias - wt
present bias - wt
present bias - wt
10710
-2000
2000
present bias, non-imp, wt
present bias, non-imp, wt
present bias, non-imp, wt
present bias, non-imp, wt
present bias, non-imp, wt
10705
5
-2000
2000
improreturn .10
improreturn .10
improreturn .10
improreturn .10
improreturn .10
10710
1
1
improreturn .25
improreturn .25
improreturn .25
improreturn .25
improreturn .25
10710
1
1
improreturn .50
improreturn .50
improreturn .50
improreturn .50
improreturn .50
10710
1
1
improreturn .75
improreturn .75
improreturn .75
improreturn .75
improreturn .75
10710
1
1
improreturn 1.0
improreturn 1.0
improreturn 1.0
improreturn 1.0
improreturn 1.0
10710
1
1
spouse_sooner_nonimpfar
spouse_sooner_nonimpfar
spouse_sooner_nonimpfar
spouse_sooner_nonimpfar
spouse_sooner_nonimpfar
7290
3420
2000
own_sooner_nonimpfar
own_sooner_nonimpfar
own_sooner_nonimpfar
own_sooner_nonimpfar
own_sooner_nonimpfar
7290
3420
2000
spouse_sooner_far_imp
spouse_sooner_far_imp
spouse_sooner_far_imp
spouse_sooner_far_imp
spouse_sooner_far_imp
7280
3430
2000
indicator: sb near, 0.10
indicator: sb near, 0.10
indicator: sb near, 0.10
indicator: sb near, 0.10
indicator: sb near, 0.10
10710
1
1
indicator: sb near, 0.25
indicator: sb near, 0.25
indicator: sb near, 0.25
indicator: sb near, 0.25
indicator: sb near, 0.25
10710
1
1
indicator: sb near, 0.50
indicator: sb near, 0.50
indicator: sb near, 0.50
indicator: sb near, 0.50
indicator: sb near, 0.50
10710
1
1
indicator: sb near, 0.75
indicator: sb near, 0.75
indicator: sb near, 0.75
indicator: sb near, 0.75
indicator: sb near, 0.75
10710
1
1
indicator: sb near, 1.0
indicator: sb near, 1.0
indicator: sb near, 1.0
indicator: sb near, 1.0
indicator: sb near, 1.0
10710
1
1
indicator: sb far, 0.10
indicator: sb far, 0.10
indicator: sb far, 0.10
indicator: sb far, 0.10
indicator: sb far, 0.10
10710
1
1
indicator: sb far, 0.25
indicator: sb far, 0.25
indicator: sb far, 0.25
indicator: sb far, 0.25
indicator: sb far, 0.25
10710
1
1
indicator: sb far, 0.50
indicator: sb far, 0.50
indicator: sb far, 0.50
indicator: sb far, 0.50
indicator: sb far, 0.50
10710
1
1
indicator: sb far, 0.75
indicator: sb far, 0.75
indicator: sb far, 0.75
indicator: sb far, 0.75
indicator: sb far, 0.75
10710
1
1
indicator: sb far, 1.0
indicator: sb far, 1.0
indicator: sb far, 1.0
indicator: sb far, 1.0
indicator: sb far, 1.0
10710
1
1
indicator: sb near2, 0.10
indicator: sb near2, 0.10
indicator: sb near2, 0.10
indicator: sb near2, 0.10
indicator: sb near2, 0.10
10710
1
1
indicator: sb near2, 0.25
indicator: sb near2, 0.25
indicator: sb near2, 0.25
indicator: sb near2, 0.25
indicator: sb near2, 0.25
10710
1
1
indicator: sb near2, 0.50
indicator: sb near2, 0.50
indicator: sb near2, 0.50
indicator: sb near2, 0.50
indicator: sb near2, 0.50
10710
1
1
indicator: sb near2, 0.75
indicator: sb near2, 0.75
indicator: sb near2, 0.75
indicator: sb near2, 0.75
indicator: sb near2, 0.75
10710
1
1
indicator: sb near2, 1.0
indicator: sb near2, 1.0
indicator: sb near2, 1.0
indicator: sb near2, 1.0
indicator: sb near2, 1.0
10710
1
1
indicator: sb far2, 0.10
indicator: sb far2, 0.10
indicator: sb far2, 0.10
indicator: sb far2, 0.10
indicator: sb far2, 0.10
10710
1
1
indicator: sb far2, 0.25
indicator: sb far2, 0.25
indicator: sb far2, 0.25
indicator: sb far2, 0.25
indicator: sb far2, 0.25
10710
1
1
indicator: sb far2, 0.50
indicator: sb far2, 0.50
indicator: sb far2, 0.50
indicator: sb far2, 0.50
indicator: sb far2, 0.50
10710
1
1
indicator: sb far2, 0.75
indicator: sb far2, 0.75
indicator: sb far2, 0.75
indicator: sb far2, 0.75
indicator: sb far2, 0.75
10710
1
1
indicator: sb far2, 1.0
indicator: sb far2, 1.0
indicator: sb far2, 1.0
indicator: sb far2, 1.0
indicator: sb far2, 1.0
10710
1
1
frac sb near
frac sb near
frac sb near
frac sb near
frac sb near
10710
1
frac sb far
frac sb far
frac sb far
frac sb far
frac sb far
10710
1
frac sb
frac sb
frac sb
frac sb
frac sb
10710
1
frac sb far, non-imp
frac sb far, non-imp
frac sb far, non-imp
frac sb far, non-imp
frac sb far, non-imp
7290
3420
1
frac sb, non-imp
frac sb, non-imp
frac sb, non-imp
frac sb, non-imp
frac sb, non-imp
7290
3420
1
frac sb near2
frac sb near2
frac sb near2
frac sb near2
frac sb near2
10710
1
frac sb, far2
frac sb, far2
frac sb, far2
frac sb, far2
frac sb, far2
10710
1
frac sb 2
frac sb 2
frac sb 2
frac sb 2
frac sb 2
10710
1
frac sb far2, non-imp
frac sb far2, non-imp
frac sb far2, non-imp
frac sb far2, non-imp
frac sb far2, non-imp
7290
3420
1
frac sb 2, non-imp
frac sb 2, non-imp
frac sb 2, non-imp
frac sb 2, non-imp
frac sb 2, non-imp
7290
3420
1
attrition 1
attrition 1
attrition 1
attrition 1
attrition 1
3610
7100
1
1
Sysmiss
attrition 2
attrition 2
attrition 2
attrition 2
attrition 2
3610
7100
1
1
Sysmiss
z13_month==2
z13_month==2
z13_month==2
z13_month==2
z13_month==2
10710
1
1
z13_month==3
z13_month==3
z13_month==3
z13_month==3
z13_month==3
10710
2 target lag
2 target lag
2 target lag
2 target lag
2 target lag
3610
7100
1
1
Sysmiss
3 target lag
3 target lag
3 target lag
3 target lag
3 target lag
3610
7100
1
1
Sysmiss
4 target lag
4 target lag
4 target lag
4 target lag
4 target lag
3610
7100
1
1
Sysmiss
5 target lag
5 target lag
5 target lag
5 target lag
5 target lag
3610
7100
1
1
Sysmiss
6 target lag
6 target lag
6 target lag
6 target lag
6 target lag
3610
7100
1
1
Sysmiss
7 target lag
7 target lag
7 target lag
7 target lag
7 target lag
3610
7100
1
1
Sysmiss
8 target lag
8 target lag
8 target lag
8 target lag
8 target lag
3610
7100
1
1
Sysmiss
9 target lag
9 target lag
9 target lag
9 target lag
9 target lag
3610
7100
1
1
Sysmiss
10 target lag
10 target lag
10 target lag
10 target lag
10 target lag
3610
7100
1
1
Sysmiss
11 target lag
11 target lag
11 target lag
11 target lag
11 target lag
3610
7100
1
1
Sysmiss
12 target lag
12 target lag
12 target lag
12 target lag
12 target lag
3610
7100
1
1
Sysmiss
13 target lag
13 target lag
13 target lag
13 target lag
13 target lag
3610
7100
1
1
Sysmiss
14 target lag
14 target lag
14 target lag
14 target lag
14 target lag
3610
7100
1
1
Sysmiss
15 target lag
15 target lag
15 target lag
15 target lag
15 target lag
3610
7100
1
1
Sysmiss
16 target lag
16 target lag
16 target lag
16 target lag
16 target lag
3610
7100
1
1
Sysmiss
c_n_soon
c_n_soon
c_n_soon
c_n_soon
c_n_soon
10710
2000
c_n_late
c_n_late
c_n_late
c_n_late
c_n_late
10710
4000
Near: change in later consumption for change in r, 0.1 to 0.25
Near: change in later consumption for change in r, 0.1 to 0.25
Near: change in later consumption for change in r, 0.1 to 0.25
Near: change in later consumption for change in r, 0.1 to 0.25
Near: change in later consumption for change in r, 0.1 to 0.25
10705
5
-2200
2500
dcn_25_10pos
dcn_25_10pos
dcn_25_10pos
dcn_25_10pos
dcn_25_10pos
10710
1
1
siznegn_25_10
siznegn_25_10
siznegn_25_10
siznegn_25_10
siznegn_25_10
10710
2500
Near: change in later consumption for change in r, 0.25 to 0.50
Near: change in later consumption for change in r, 0.25 to 0.50
Near: change in later consumption for change in r, 0.25 to 0.50
Near: change in later consumption for change in r, 0.25 to 0.50
Near: change in later consumption for change in r, 0.25 to 0.50
10710
-2500
3000
dcn_50_25pos
dcn_50_25pos
dcn_50_25pos
dcn_50_25pos
dcn_50_25pos
10710
1
1
siznegn_50_25
siznegn_50_25
siznegn_50_25
siznegn_50_25
siznegn_50_25
10710
3000
Near: change in later consumption for change in r, 0.50 to 0.75
Near: change in later consumption for change in r, 0.50 to 0.75
Near: change in later consumption for change in r, 0.50 to 0.75
Near: change in later consumption for change in r, 0.50 to 0.75
Near: change in later consumption for change in r, 0.50 to 0.75
10685
25
-3000
3500
dcn_75_50pos
dcn_75_50pos
dcn_75_50pos
dcn_75_50pos
dcn_75_50pos
10710
1
1
siznegn_75_50
siznegn_75_50
siznegn_75_50
siznegn_75_50
siznegn_75_50
10710
3500
Near: change in later consumption for change in r, 0.75 to 1.00
Near: change in later consumption for change in r, 0.75 to 1.00
Near: change in later consumption for change in r, 0.75 to 1.00
Near: change in later consumption for change in r, 0.75 to 1.00
Near: change in later consumption for change in r, 0.75 to 1.00
10680
30
-3500
4000
dcn_100_75pos
dcn_100_75pos
dcn_100_75pos
dcn_100_75pos
dcn_100_75pos
10710
1
1
siznegn_100_75
siznegn_100_75
siznegn_100_75
siznegn_100_75
siznegn_100_75
10710
4000
Near: # (of 4) positive changes in later consumption with increase in r
Near: # (of 4) positive changes in later consumption with increase in r
Near: # (of 4) positive changes in later consumption with increase in r
Near: # (of 4) positive changes in later consumption with increase in r
Near: # (of 4) positive changes in later consumption with increase in r
10710
4
1
2
3
4
avesiznegn
avesiznegn
avesiznegn
avesiznegn
avesiznegn
10710
3500
c_f_soon
c_f_soon
c_f_soon
c_f_soon
c_f_soon
10710
2000
c_f_late
c_f_late
c_f_late
c_f_late
c_f_late
10710
4000
Far: change in later consumption for change in r, 0.1 to 0.25
Far: change in later consumption for change in r, 0.1 to 0.25
Far: change in later consumption for change in r, 0.1 to 0.25
Far: change in later consumption for change in r, 0.1 to 0.25
Far: change in later consumption for change in r, 0.1 to 0.25
10700
10
-2200
2500
dcf_25_10pos
dcf_25_10pos
dcf_25_10pos
dcf_25_10pos
dcf_25_10pos
10710
1
1
Far: change in later consumption for change in r, 0.25 to 0.50
Far: change in later consumption for change in r, 0.25 to 0.50
Far: change in later consumption for change in r, 0.25 to 0.50
Far: change in later consumption for change in r, 0.25 to 0.50
Far: change in later consumption for change in r, 0.25 to 0.50
10700
10
-2500
3000
dcf_50_25pos
dcf_50_25pos
dcf_50_25pos
dcf_50_25pos
dcf_50_25pos
10710
1
1
Far: change in later consumption for change in r, 0.50 to 0.75
Far: change in later consumption for change in r, 0.50 to 0.75
Far: change in later consumption for change in r, 0.50 to 0.75
Far: change in later consumption for change in r, 0.50 to 0.75
Far: change in later consumption for change in r, 0.50 to 0.75
10695
15
-3000
3500
dcf_75_50pos
dcf_75_50pos
dcf_75_50pos
dcf_75_50pos
dcf_75_50pos
10710
1
1
Far: change in later consumption for change in r, 0.75 to 1.00
Far: change in later consumption for change in r, 0.75 to 1.00
Far: change in later consumption for change in r, 0.75 to 1.00
Far: change in later consumption for change in r, 0.75 to 1.00
Far: change in later consumption for change in r, 0.75 to 1.00
10665
45
-3500
4000
dcf_100_75pos
dcf_100_75pos
dcf_100_75pos
dcf_100_75pos
dcf_100_75pos
10710
1
1
Far: # (of 4) positive changes in later consumption with increase in r
Far: # (of 4) positive changes in later consumption with increase in r
Far: # (of 4) positive changes in later consumption with increase in r
Far: # (of 4) positive changes in later consumption with increase in r
Far: # (of 4) positive changes in later consumption with increase in r
10710
4
1
2
3
4
# (of 8) positive changes in later consumption with increase in r
# (of 8) positive changes in later consumption with increase in r
# (of 8) positive changes in later consumption with increase in r
# (of 8) positive changes in later consumption with increase in r
# (of 8) positive changes in later consumption with increase in r
10710
1
8
1
2
3
4
5
6
7
8
Adherence to law of demand ratio [0,1]
Adherence to law of demand ratio [0,1]
Adherence to law of demand ratio [0,1]
Adherence to law of demand ratio [0,1]
Adherence to law of demand ratio [0,1]
10710
0.125
1
number sooner
number sooner
number sooner
number sooner
number sooner
10710
200
Fraction of tokens allocated to
Fraction of tokens allocated to
Fraction of tokens allocated to
Fraction of tokens allocated to
Fraction of tokens allocated to
10710
1.111
present bias
present bias
present bias
present bias
present bias
10710
1
1
present bias 2
present bias 2
present bias 2
present bias 2
present bias 2
10710
1
1
future bias
future bias
future bias
future bias
future bias
10710
1
1
future bias 2
future bias 2
future bias 2
future bias 2
future bias 2
10710
1
1
whether consistent
whether consistent
whether consistent
whether consistent
whether consistent
10710
1
1
whether consistent
whether consistent
whether consistent
whether consistent
whether consistent
10710
1
1
frac present bias
frac present bias
frac present bias
frac present bias
frac present bias
10710
1
frac future bias
frac future bias
frac future bias
frac future bias
frac future bias
10710
1
frac consistent
frac consistent
frac consistent
frac consistent
frac consistent
10710
1
frac present bias 2
frac present bias 2
frac present bias 2
frac present bias 2
frac present bias 2
10710
1
frac future bias 2
frac future bias 2
frac future bias 2
frac future bias 2
frac future bias 2
10710
1
frac consistent 2
frac consistent 2
frac consistent 2
frac consistent 2
frac consistent 2
10710
1
havedemos
havedemos
havedemos
havedemos
havedemos
10710
1
1
1
hhminc_n_soon
hhminc_n_soon
hhminc_n_soon
hhminc_n_soon
hhminc_n_soon
10710
2000
hhmaxc_n_soon
hhmaxc_n_soon
hhmaxc_n_soon
hhmaxc_n_soon
hhmaxc_n_soon
10710
2000
spsdiffc_n_soon
spsdiffc_n_soon
spsdiffc_n_soon
spsdiffc_n_soon
spsdiffc_n_soon
10710
-2000
2000
hhminc_f_soon
hhminc_f_soon
hhminc_f_soon
hhminc_f_soon
hhminc_f_soon
10710
2000
hhmaxc_f_soon
hhmaxc_f_soon
hhmaxc_f_soon
hhmaxc_f_soon
hhmaxc_f_soon
10710
2000
spsdiffc_f_soon
spsdiffc_f_soon
spsdiffc_f_soon
spsdiffc_f_soon
spsdiffc_f_soon
10710
-2000
2000
wealth_bline_M
wealth_bline_M
wealth_bline_M
wealth_bline_M
wealth_bline_M
10710
0.004
69.503
Ln(baseline wealth)
Ln(baseline wealth)
Ln(baseline wealth)
Ln(baseline wealth)
Ln(baseline wealth)
10710
-5.521
4.241
ln_c_n_soon
ln_c_n_soon
ln_c_n_soon
ln_c_n_soon
ln_c_n_soon
9211
1499
4.605
7.601
ln_c_n_late
ln_c_n_late
ln_c_n_late
ln_c_n_late
ln_c_n_late
10436
274
4.7
8.294
dln_c_n
dln_c_n
dln_c_n
dln_c_n
dln_c_n
8937
1773
-2.849
3.638
ln_c_f_soon
ln_c_f_soon
ln_c_f_soon
ln_c_f_soon
ln_c_f_soon
9168
1542
4.605
7.601
ln_c_f_late
ln_c_f_late
ln_c_f_late
ln_c_f_late
ln_c_f_late
10473
237
4.7
8.294
dln_c_f
dln_c_f
dln_c_f
dln_c_f
dln_c_f
8931
1779
-2.849
3.638
Interest rate (r)
Interest rate (r)
Interest rate (r)
Interest rate (r)
Interest rate (r)
10710
0.1
1
Respondent ID
Respondent ID
Respondent ID
Respondent ID
Respondent ID
2157
1234581011
3259365102
Household ID
Household ID
Household ID
Household ID
Household ID
2157
123458101
325936510
respid 225977704 was not interviewed at the time of the baseline. His name was used by someone else (Thenford Mphonje).
respid 225148809 is in another club (Mtidzutse) where he is known as Gift Mwale.
respid 225299105 used 2 names, Chenjerani Banda, is a fake name. 225299103 is the correct observation.
respid 225951806, Tsilizani Lungu, is a fake name. Joseph Zeka (225951801) is the correct observation.
respid 225950401 used 2 names, Davie Mwale, is son's name. Nefitale Mwale is the correct respondent.
respid 226020201 (Gift Mwale) also in Mtidutse club under the same name. Other respid is 225977908.
Wrong respid was written on the pages of respid 141049905 (Kasten Zola)...check 141049917.
141050407 DD section was completed instead of SP section.
290197709 Unclear if this respondent was the one interviewed at baseline. wrong HH members.
Member of another club (Mtidutse club). Unclear what name he used in Mtidutse club.
226007204 Refused to be interviewed because he said he was not interviewed at baseline. Said that account form was filled out but account was never opened.
225147504 Dickson used the name Elack Banda but moved to Chamanda. Bashiri Banda used name Elack too.
141042502 The respondent was already out of the club in the harvesting season of 2009.
225301302 The original respondent (Sunganani Banda) is crossed out and written as deceased, but still appears on the roster.
141099115 Respondent name does not match any of the names on the roster.
141026617 Interview partially complete.
(mean) z13_month
(mean) z13_month
(mean) z13_month
(mean) z13_month
(mean) z13_month
2142
15
1
2
1
2
Sysmiss
Male
Male
Male
Male
Male
2142
15
1
1
Sysmiss
Number of relatives in the village
Number of relatives in the village
Number of relatives in the village
Number of relatives in the village
Number of relatives in the village
2142
15
132
Have adequate maize
Have adequate maize
Have adequate maize
Have adequate maize
Have adequate maize
2142
15
1
1
Sysmiss
Less than 35 yrs old
Less than 35 yrs old
Less than 35 yrs old
Less than 35 yrs old
Less than 35 yrs old
2142
15
1
1
Sysmiss
35-37 yrs old
35-37 yrs old
35-37 yrs old
35-37 yrs old
35-37 yrs old
2142
15
1
1
Sysmiss
Some primary school
Some primary school
Some primary school
Some primary school
Some primary school
2142
15
1
1
Sysmiss
Primary school
Primary school
Primary school
Primary school
Primary school
2142
15
1
1
Sysmiss
More than primary school
More than primary school
More than primary school
More than primary school
More than primary school
2142
15
1
1
Sysmiss
Words recalled
Words recalled
Words recalled
Words recalled
Words recalled
2142
15
10
1
2
3
4
5
6
7
8
9
10
Sysmiss
Raven's Tests correct
Raven's Tests correct
Raven's Tests correct
Raven's Tests correct
Raven's Tests correct
2142
15
3
1
2
3
Sysmiss
Financial literacy questions correct
Financial literacy questions correct
Financial literacy questions correct
Financial literacy questions correct
Financial literacy questions correct
2142
15
3
1
2
3
Sysmiss
Implemented interest rate \{.1, .25, .5, .75, 1\}
Implemented interest rate \{.1, .25, .5, .75, 1\}
Implemented interest rate \{.1, .25, .5, .75, 1\}
Implemented interest rate \{.1, .25, .5, .75, 1\}
Implemented interest rate \{.1, .25, .5, .75, 1\}
2142
15
0.1
1
Indicator: death in the family
Indicator: death in the family
Indicator: death in the family
Indicator: death in the family
Indicator: death in the family
1314
843
1
1
Sysmiss
Shortfall in expected HH income (MK)
Shortfall in expected HH income (MK)
Shortfall in expected HH income (MK)
Shortfall in expected HH income (MK)
Shortfall in expected HH income (MK)
1454
703
-4302
13735
2142
15
1
10
1
2
3
4
5
6
7
8
9
10
Sysmiss
(mean) younger
(mean) younger
(mean) younger
(mean) younger
(mean) younger
2142
15
1
1
Sysmiss
(mean) middleage
(mean) middleage
(mean) middleage
(mean) middleage
(mean) middleage
2142
15
1
1
Sysmiss
(mean) some_primary
(mean) some_primary
(mean) some_primary
(mean) some_primary
(mean) some_primary
2142
15
1
1
Sysmiss
(mean) primary
(mean) primary
(mean) primary
(mean) primary
(mean) primary
2142
15
1
1
Sysmiss
(mean) morethan_primary
(mean) morethan_primary
(mean) morethan_primary
(mean) morethan_primary
(mean) morethan_primary
2142
15
1
1
Sysmiss
(mean) wrdrecal_1
(mean) wrdrecal_1
(mean) wrdrecal_1
(mean) wrdrecal_1
(mean) wrdrecal_1
2142
15
10
1
2
3
4
5
6
7
8
9
10
Sysmiss
(mean) ravens
(mean) ravens
(mean) ravens
(mean) ravens
(mean) ravens
2142
15
3
1
2
3
Sysmiss
(mean) finlit_total
(mean) finlit_total
(mean) finlit_total
(mean) finlit_total
(mean) finlit_total
2142
15
3
1
2
3
Sysmiss
Indicator: days to first disbursement (targeted) $\leq 6$
Indicator: days to first disbursement (targeted) $\leq 6$
Indicator: days to first disbursement (targeted) $\leq 6$
Indicator: days to first disbursement (targeted) $\leq 6$
Indicator: days to first disbursement (targeted) $\leq 6$
722
1435
1
1
Sysmiss
Baseline wealth (100s of MK)
Baseline wealth (100s of MK)
Baseline wealth (100s of MK)
Baseline wealth (100s of MK)
Baseline wealth (100s of MK)
2142
15
0.4
6950.25
2157
1
1