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    Home / Central Data Catalog / IMPACT_EVALUATION / MWI_2010_SIHRIE-R3_V01_M / variable [F17]
impact_evaluation

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

Malawi, 2010
Impact Evaluation Surveys
Central
The Strategic Impact Evaluation Fund (SIEF)
Berk Ozler, Sarah Baird, Craig McIntosh, Ephraim Chirwa
Created on September 16, 2015 Last modified September 16, 2015 Page views 31492 Download 1775 Documentation in PDF Metadata DDI/XML JSON
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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
CSV JSON

Estimated earnings Jan - March 2009 (s11q10a)

Data file: SIHR3_PII_S11A_public

Overview

Valid: 3583
Invalid: 0
Type: Discrete
Decimal: 0
Width: 6
Range: 0 - 999999
Format: Numeric

Questions and instructions

Literal question
Now, please think about all the work that you did in 2009. How much do you estimate that you earned in each of the following time periods?
Categories
Value Category Cases
0 2863
79.9%
30 1
0%
50 5
0.1%
100 17
0.5%
120 1
0%
140 1
0%
150 6
0.2%
180 1
0%
200 36
1%
250 12
0.3%
280 1
0%
300 29
0.8%
350 4
0.1%
395 1
0%
400 24
0.7%
420 4
0.1%
440 1
0%
450 4
0.1%
500 99
2.8%
560 2
0.1%
600 24
0.7%
700 23
0.6%
740 1
0%
750 6
0.2%
800 20
0.6%
840 1
0%
850 1
0%
900 3
0.1%
1000 121
3.4%
1200 12
0.3%
1250 1
0%
1300 1
0%
1400 1
0%
1500 41
1.1%
1680 2
0.1%
1700 4
0.1%
1800 3
0.1%
1820 1
0%
2000 60
1.7%
2100 4
0.1%
2200 1
0%
2400 2
0.1%
2500 16
0.4%
2800 1
0%
3000 30
0.8%
3040 1
0%
3500 6
0.2%
3600 3
0.1%
3700 3
0.1%
4000 8
0.2%
4500 6
0.2%
4800 1
0%
5000 12
0.3%
5500 1
0%
5700 1
0%
6000 12
0.3%
7000 1
0%
7500 4
0.1%
8000 2
0.1%
8500 1
0%
9000 3
0.1%
10000 6
0.2%
10500 2
0.1%
12000 4
0.1%
12500 1
0%
13500 1
0%
15000 1
0%
20000 1
0%
21000 2
0.1%
30000 2
0.1%
36000 1
0%
50000 1
0%
54000 1
0%
888888 Don't know 1
0%
999999 Missing 2
0.1%
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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