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MWI_2012_SIHRIE-R4_V02_M
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variable [F20]
Schooling, Income, and Health Risk Impact Evaluation Household Survey 2012, Round 4
Malawi
,
2012
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Reference ID
MWI_2012_SIHRIE-R4_v02_M
Producer(s)
Berk Ozler, Sarah Baird, Craig McIntosh, Ephraim Chirwa
Metadata
DDI/XML
JSON
Created on
Jan 19, 2021
Last modified
Jan 19, 2021
Page views
16508
Downloads
89
Study Description
Data Dictionary
Downloads
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Data files
SIHR4__baseline_controls_public.dta
SIHR4__CR_status_R1-R4_public.dta
SIHR4_ECD_CS_public.dta
SIHR4_ECD_MDAT_public.dta
SIHR4_ECD_SDQ_public.dta
SIHR4_PI_CS1_public.dta
SIHR4_PI_S1_public.dta
SIHR4_PI_S2_public.dta
SIHR4_PI_S3A_public.dta
SIHR4_PI_S3B_public.dta
SIHR4_PI_S3C_public.dta
SIHR4_PI_S3D_public.dta
SIHR4_PI_S4_public.dta
SIHR4_PI_S5_public.dta
SIHR4_PI_S6_public.dta
SIHR4_PII_CS2_public.dta
SIHR4_PII_S7A_public.dta
SIHR4_PII_S7B_public.dta
SIHR4_PII_S8A_public.dta
SIHR4_PII_S8B_public.dta
SIHR4_PII_S9_public.dta
SIHR4_PII_S10A_public.dta
SIHR4_PII_S10B_public.dta
SIHR4_PII_S11A_public.dta
SIHR4_PII_S11B_public.dta
SIHR4_PII_S12A_public.dta
SIHR4_PII_S12B_public.dta
SIHR4_PII_S13_public.dta
SIHR4_PII_S14_public.dta
SIHR4_PII_S15_public.dta
SIHR4_PII_S16_public.dta
SIHR4_PII_S17_public.dta
SIHR4_PII_S18A_public.dta
SIHR4_PII_S18B_public.dta
SIHR4_PII_S19_public.dta
SIHR4_PII_S21_public.dta
SIHR4_PII_S22_public.dta
SIHR4_PII_S23_public.dta
SIHR4_PIII_CS3_public.dta
SIHR4_PIII_S25_public.dta
SIHR4_PIII_S26_public.dta
SIHR4_PIII_S27A_public.dta
SIHR4_PIII_S27B_public.dta
SIHR4_PIII_S28_public.dta
SIHR4_PIII_S29_public.dta
SIHR4_PIII_S30_public.dta
SIHR4_PIII_S31_public.dta
SIHR4_PIII_S32A_public.dta
SIHR4_PIII_S32B_public.dta
SIHR4_PIII_S33_public.dta
sihr4__identifiers_clean.dta
How much did you earn b. April - June 2011 (s8q07b)
Data file:
SIHR4_PII_S8A_public.dta
Overview
Valid:
2874
Invalid:
-
Minimum:
0
Maximum:
250000
Type:
Discrete
Decimal:
0
Start:
36
End:
41
Width:
6
Range:
0 - 250000
Format:
Numeric
Questions and instructions
Categories
Value
Category
888888
Don't know
999999
Missing
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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