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    Home / Central Data Catalog / IMPACT_EVALUATION / MWI_2010_SIHRIE-R3_V01_M / variable [F13]
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
61522
Downloads
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  • Study Description
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  • Data files
  • 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

In what year did your mother die? (s9q12)

Data file: SIHR3_PII_S9A_public

Overview

Valid: 710
Invalid: 2874
Type: Discrete
Decimal: 0
Start: 88
End: 91
Width: 4
Range: 1988 - 9999
Format: Numeric

Questions and instructions

Literal question
In what year did your mother die?
Categories
Value Category Cases
1988 1
0.1%
1989 2
0.3%
1990 7
1%
1991 4
0.6%
1992 9
1.3%
1993 17
2.4%
1994 12
1.7%
1995 31
4.4%
1996 24
3.4%
1997 22
3.1%
1998 32
4.5%
1999 35
4.9%
2000 44
6.2%
2001 39
5.5%
2002 37
5.2%
2003 61
8.6%
2004 78
11%
2005 38
5.4%
2006 45
6.3%
2007 26
3.7%
2008 34
4.8%
2009 36
5.1%
2010 8
1.1%
8888 Don't know 67
9.4%
9999 Missing 1
0.1%
Sysmiss 2874
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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