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    Home / Central Data Catalog / IMPACT_EVALUATION / MWI_2007_SIHR_V01_M_V01_A_PUF / variable [V566]
impact_evaluation

Schooling, Income, and Health Risk Impact Evaluation Household Survey 2007-2008, Round I (Baseline)

Malawi, 2007 - 2008
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Reference ID
MWI_2007_SIHR_v01_M_v01_A_PUF
DOI
https://doi.org/10.48529/xp7y-3k93
Producer(s)
Sarah Baird, Craig McIntosh, Berk Özler
Collection(s)
Impact Evaluation Surveys Development Research Microdata The Strategic Impact Evaluation Fund (SIEF)
Metadata
Documentation in PDF DDI/XML JSON
Created on
May 03, 2012
Last modified
Sep 26, 2013
Page views
151598
Downloads
16380
  • Study Description
  • Data Description
  • Documentation
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  • Data files
  • SIHR1_identifers
  • SIHR1_PI_S1_public
  • SIHR1_PI_S2_public
  • SIHR1_PI_S3_public
  • SIHR1_PI_S4_public
  • SIHR1_PI_S5_public
  • SIHR1_PI_S6_public
  • SIHR1_PI_S7_public
  • SIHR1_PII_S8_public
  • SIHR1_PII_S9_public
  • SIHR1_PII_S10_public
  • SIHR1_PII_S11_public
  • SIHR1_PII_S12_public
  • SIHR1_PII_S12a_public
  • SIHR1_PII_S13_public
  • SIHR1_PII_S14_public
  • SIHR1_PII_S15_public
  • SIHR1_PII_S16_public

Other amount (MK) one month from now? (s14q10)

Data file: SIHR1_PII_S14_public

Overview

Valid: 1421
Invalid: 2389
Type: Discrete
Decimal: 0
Start: 41
End: 49
Width: 9
Range: 100 - 999999999
Format: Numeric

Questions and instructions

Literal question
How much would the neighbor have to pay you one month from today so that you would prefer to be paid in one month rather than receiving 500 Kwacha today?
Categories
Value Category Cases
100 1
0.1%
500 34
2.4%
600 1
0.1%
700 1
0.1%
800 132
9.3%
850 41
2.9%
870 1
0.1%
900 112
7.9%
950 15
1.1%
1000 686
48.3%
1020 1
0.1%
1100 4
0.3%
1200 45
3.2%
1250 1
0.1%
1300 3
0.2%
1400 4
0.3%
1500 139
9.8%
1600 1
0.1%
1700 3
0.2%
1900 1
0.1%
2000 88
6.2%
2200 1
0.1%
2500 23
1.6%
2600 1
0.1%
3000 28
2%
3500 1
0.1%
4000 4
0.3%
4500 1
0.1%
5000 15
1.1%
5200 1
0.1%
5300 1
0.1%
5500 1
0.1%
6000 4
0.3%
6500 1
0.1%
7000 2
0.1%
8000 4
0.3%
8500 2
0.1%
10000 6
0.4%
20000 1
0.1%
888888888 Don't know 0
0%
999999999 Missing 10
0.7%
Sysmiss 2389
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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