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    Home / Central Data Catalog / IMPACT_EVALUATION / MWI_2006_MTARI_V01_M_PUF / variable [F16]
impact_evaluation

Technology Adoption and Risk Initiative Household Baseline Survey 2006

Malawi, 2006
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Reference ID
MWI_2006_MTARI_v01_M_PUF
DOI
https://doi.org/10.48529/nk99-3y84
Producer(s)
Xavier Gine, Dean Yang
Collection(s)
Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 13, 2013
Last modified
Jul 19, 2017
Page views
69807
Downloads
6738
  • Study Description
  • Data Description
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  • Related citations
  • Data files
  • bagricont_PUF
  • bclubmem_PUF
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  • bcprod_PUF
  • bcredit_PUF
  • bcsales_PUF
  • bhroster_PUF
  • bhtransfer_PUF
  • blanduc_PUF
  • blivesto_PUF
  • bmain_PUF
  • briskresp1_PUF
  • briskresp2_PUF
  • bsavins_PUF
  • _qno

m2. how much would you receive as payout? (m2_c)

Data file: bmain_PUF

Overview

Valid: 922
Invalid: 165
Type: Discrete
Decimal: 0
Start: 1191
End: 1196
Width: 6
Range: 0 - 100000
Format: Numeric

Questions and instructions

Literal question
Imagine you have bought insurance against drought. If it rains less than 70mm by the end of November, you will receive a payout of 20MK for every mm of deficient rainfall (that is, each mm of rainfall below 70mm)
How much would you receive as payout?
Categories
Value Category Cases
0 5
0.5%
1 5
0.5%
2 2
0.2%
10 1
0.1%
15 1
0.1%
20 34
3.7%
30 3
0.3%
35 1
0.1%
40 8
0.9%
50 4
0.4%
58 1
0.1%
60 6
0.7%
70 2
0.2%
100 22
2.4%
120 30
3.3%
140 3
0.3%
150 4
0.4%
160 1
0.1%
170 1
0.1%
180 3
0.3%
200 476
51.6%
220 1
0.1%
250 4
0.4%
280 2
0.2%
300 21
2.3%
340 2
0.2%
350 1
0.1%
400 12
1.3%
500 12
1.3%
600 8
0.9%
700 3
0.3%
800 7
0.8%
900 1
0.1%
1000 20
2.2%
1200 62
6.7%
1500 1
0.1%
2000 24
2.6%
2350 1
0.1%
2400 2
0.2%
2500 1
0.1%
3000 5
0.5%
4000 3
0.3%
5000 10
1.1%
6000 3
0.3%
7777 dk 74
8%
9000 1
0.1%
10000 2
0.2%
12000 4
0.4%
15000 2
0.2%
20000 8
0.9%
25000 2
0.2%
30000 3
0.3%
50000 5
0.5%
60000 1
0.1%
100000 1
0.1%
Sysmiss 165
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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