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    Home / Central Data Catalog / MWI_2009-2010_TPCS_V01_M / variable [F2]
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Time Preference & Cognition Survey 2009 - 2010

Malawi, 2009 - 2010
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Reference ID
MWI_2009-2010_TPCS_v01_M
DOI
https://doi.org/10.48529/46t2-3c91
Producer(s)
Xavier Giné, Jessica Goldberg, Dan Silverman, Dean Yang
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jun 21, 2018
Last modified
Jun 21, 2018
Page views
44462
Downloads
2255
  • Study Description
  • Data Description
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  • Data files
  • GGSY_data
  • GGSY_data_long
  • sim_data

Expenditure in July on other household items (b1_6_4)

Data file: GGSY_data_long

Overview

Valid: 6570
Invalid: 4140
Minimum: -99999
Maximum: 160000
Type: Discrete
Decimal: 0
Start: 212
End: 217
Width: 6
Range: -99999 - 160000
Format: Numeric

Questions and instructions

Literal question
Section B (Revisit Questionnaire) : Planned Expenditures
B1. How much money do you expect that your household will spend in [MONTH] on [EXPENDITURE CATEGORY]?
Categories
Value Category Cases
-99999 45
0.7%
-77777 NOT APPLICABLE 0
0%
-88 DON'T KNOW 0
0%
0 330
5%
60 5
0.1%
100 30
0.5%
150 20
0.3%
160 5
0.1%
190 5
0.1%
200 95
1.4%
250 15
0.2%
300 70
1.1%
350 10
0.2%
400 85
1.3%
450 15
0.2%
480 5
0.1%
500 290
4.4%
550 10
0.2%
600 85
1.3%
700 95
1.4%
750 10
0.2%
800 150
2.3%
895 5
0.1%
900 105
1.6%
950 5
0.1%
980 5
0.1%
1000 515
7.8%
1100 10
0.2%
1150 5
0.1%
1200 90
1.4%
1290 5
0.1%
1300 40
0.6%
1400 20
0.3%
1500 400
6.1%
1550 5
0.1%
1600 35
0.5%
1700 45
0.7%
1750 5
0.1%
1800 20
0.3%
2000 580
8.8%
2050 5
0.1%
2300 15
0.2%
2400 5
0.1%
2500 260
4%
2600 5
0.1%
2700 10
0.2%
2800 10
0.2%
3000 570
8.7%
3100 5
0.1%
3300 5
0.1%
3500 85
1.3%
3600 5
0.1%
3800 10
0.2%
4000 305
4.6%
4200 10
0.2%
4500 35
0.5%
4800 10
0.2%
5000 445
6.8%
5500 15
0.2%
6000 120
1.8%
6500 10
0.2%
6700 5
0.1%
7000 195
3%
7500 5
0.1%
8000 155
2.4%
9000 90
1.4%
9700 5
0.1%
10000 305
4.6%
10500 5
0.1%
11000 50
0.8%
12000 55
0.8%
14000 5
0.1%
15000 145
2.2%
18000 10
0.2%
19000 5
0.1%
20000 115
1.8%
24000 5
0.1%
25000 20
0.3%
28000 5
0.1%
30000 55
0.8%
35000 20
0.3%
40000 25
0.4%
48000 5
0.1%
50000 40
0.6%
60000 5
0.1%
80000 20
0.3%
100000 5
0.1%
160000 5
0.1%
Sysmiss 4140
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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