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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
41387
Downloads
2122
  • Study Description
  • Data Description
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  • Data files
  • GGSY_data
  • GGSY_data_long
  • sim_data

Expenditure in April on other household items (b1_6_1)

Data file: GGSY_data_long

Overview

Valid: 6570
Invalid: 4140
Minimum: -99999
Maximum: 100000
Type: Discrete
Decimal: 0
Start: 194
End: 199
Width: 6
Range: -99999 - 100000
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%
0 240
3.7%
60 5
0.1%
90 5
0.1%
100 25
0.4%
120 5
0.1%
150 10
0.2%
160 10
0.2%
190 5
0.1%
200 130
2%
230 5
0.1%
240 5
0.1%
250 15
0.2%
300 125
1.9%
350 10
0.2%
400 105
1.6%
450 15
0.2%
480 10
0.2%
500 440
6.7%
540 5
0.1%
550 15
0.2%
600 195
3%
640 5
0.1%
650 5
0.1%
670 5
0.1%
700 140
2.1%
750 20
0.3%
800 210
3.2%
850 10
0.2%
900 90
1.4%
950 20
0.3%
1000 580
8.8%
1010 5
0.1%
1050 5
0.1%
1100 10
0.2%
1150 10
0.2%
1200 90
1.4%
1250 5
0.1%
1300 45
0.7%
1400 40
0.6%
1500 295
4.5%
1600 55
0.8%
1700 15
0.2%
1800 40
0.6%
1900 10
0.2%
2000 765
11.6%
2050 5
0.1%
2100 5
0.1%
2300 5
0.1%
2500 155
2.4%
2600 5
0.1%
2700 5
0.1%
2800 30
0.5%
2900 5
0.1%
3000 640
9.7%
3500 50
0.8%
3800 5
0.1%
4000 265
4%
4500 20
0.3%
4800 5
0.1%
5000 405
6.2%
5500 5
0.1%
6000 130
2%
6500 5
0.1%
7000 65
1%
8000 115
1.8%
9000 40
0.6%
10000 275
4.2%
11000 5
0.1%
12000 15
0.2%
14000 10
0.2%
15000 110
1.7%
20000 100
1.5%
22000 5
0.1%
25000 30
0.5%
28000 5
0.1%
30000 60
0.9%
45000 10
0.2%
50000 25
0.4%
58000 5
0.1%
62000 5
0.1%
70000 10
0.2%
80000 15
0.2%
95000 5
0.1%
100000 15
0.2%
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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