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