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    Home / Central Data Catalog / IMPACT_EVALUATION / MWI_2010_SIHRIE-R3_V01_M / variable [F5]
impact_evaluation

Schooling, Income, and Health Risk Impact Evaluation Household Survey 2010, Round 3 (Midline)

Malawi, 2010
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Reference ID
MWI_2010_SIHRIE-R3_v01_M
DOI
https://doi.org/10.48529/7w21-dj26
Producer(s)
Berk Ozler, Sarah Baird, Craig McIntosh, Ephraim Chirwa
Collection(s)
Impact Evaluation Surveys The Strategic Impact Evaluation Fund (SIEF)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Sep 16, 2015
Last modified
Sep 16, 2015
Page views
63842
Downloads
2228
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  • baseline_controls_public
  • SIHR3_PI_S1_public
  • SIHR3_PI_S2_public
  • SIHR3_PI_S3_public
  • SIHR3_PI_S4_public
  • SIHR3_PI_S5_public
  • SIHR3_PI_S6a_public
  • SIHR3_PI_S6b_public
  • SIHR3_PI_S6c_public
  • SIHR3_PI_S7_public
  • SIHR3_PI_S8_public
  • SIHR3_PII_S9A_public
  • SIHR3_PII_S9B_public
  • SIHR3_PII_S10A_public
  • SIHR3_PII_S10B_public
  • SIHR3_PII_S11A_public
  • SIHR3_PII_S11B_public
  • SIHR3_PII_S12_public
  • SIHR3_PII_S13A_public
  • SIHR3_PII_S13B_public
  • SIHR3_PII_S14_public
  • SIHR3_PII_S15A_public
  • SIHR3_PII_S15B_public
  • SIHR3_PII_S16_public
  • SIHR3_PII_S17A_public
  • SIHR3_PII_S17B_public
  • SIHR3_PII_S18_public
  • SIHR3_PII_S19_public
  • SIHR3_PII_S20A_public
  • SIHR3_PII_S20B_public
  • SIHR3_PII_S20C_public
  • SIHR3_PII_S21_public
  • SIHR_identifiers

How much money for a chicken? (s3q06_c)

Data file: SIHR3_PI_S3_public

Overview

Valid: 1831
Invalid: 1517
Type: Discrete
Decimal: 0
Start: 138
End: 145
Width: 8
Range: 0 - 99999999
Format: Numeric

Questions and instructions

Literal question
If you sold one of those […] today, how much money could you get for it?
Categories
Value Category Cases
0 1
0.1%
4 1
0.1%
5 2
0.1%
50 2
0.1%
100 1
0.1%
142 1
0.1%
150 7
0.4%
160 1
0.1%
180 1
0.1%
183 1
0.1%
200 26
1.4%
217 1
0.1%
250 22
1.2%
267 1
0.1%
280 1
0.1%
300 119
6.5%
333 1
0.1%
350 71
3.9%
380 1
0.1%
400 205
11.2%
450 79
4.3%
475 1
0.1%
480 4
0.2%
481 1
0.1%
500 560
30.6%
550 44
2.4%
600 201
11%
650 37
2%
668 1
0.1%
700 178
9.7%
750 40
2.2%
800 120
6.6%
850 23
1.3%
900 26
1.4%
950 5
0.3%
1000 30
1.6%
1200 1
0.1%
1300 2
0.1%
1500 1
0.1%
2000 1
0.1%
2400 1
0.1%
4000 2
0.1%
88888888 Don't know 0
0%
99999999 Missing 7
0.4%
Sysmiss 1517
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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