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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 31206 Download 1773 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 2010 (s11q10e)

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 2731
76.2%
20 1
0%
40 1
0%
50 10
0.3%
85 1
0%
100 31
0.9%
120 3
0.1%
140 2
0.1%
150 20
0.6%
200 58
1.6%
220 1
0%
240 1
0%
250 15
0.4%
270 1
0%
280 2
0.1%
300 54
1.5%
340 2
0.1%
350 14
0.4%
400 19
0.5%
450 6
0.2%
500 134
3.7%
550 4
0.1%
600 24
0.7%
650 1
0%
700 22
0.6%
750 5
0.1%
800 25
0.7%
850 2
0.1%
890 1
0%
900 5
0.1%
950 1
0%
990 1
0%
1000 111
3.1%
1100 2
0.1%
1200 8
0.2%
1240 1
0%
1250 1
0%
1300 3
0.1%
1400 2
0.1%
1420 1
0%
1500 46
1.3%
1550 1
0%
1600 3
0.1%
1700 2
0.1%
1750 1
0%
1780 1
0%
1800 4
0.1%
2000 58
1.6%
2100 1
0%
2200 1
0%
2300 1
0%
2400 1
0%
2500 6
0.2%
2900 1
0%
3000 27
0.8%
3200 1
0%
3500 11
0.3%
3800 1
0%
4000 12
0.3%
4500 3
0.1%
5000 16
0.4%
5500 1
0%
5700 1
0%
6000 7
0.2%
6300 1
0%
6400 1
0%
7000 6
0.2%
8000 2
0.1%
8100 1
0%
9000 2
0.1%
9800 1
0%
10000 1
0%
11000 1
0%
12000 1
0%
13500 1
0%
15000 1
0%
16000 1
0%
18000 2
0.1%
20000 1
0%
22500 1
0%
45000 1
0%
888888 Don't know 1
0%
999999 Missing 23
0.6%
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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