Schooling, Income, and Health Risk Impact Evaluation Household Survey 2010, Round 3 (Midline)
Malawi, 2010
Get Microdata
Reference ID
MWI_2010_SIHRIE-R3_v01_M
Producer(s)
Berk Ozler, Sarah Baird, Craig McIntosh, Ephraim Chirwa
Metadata
Created on
Sep 16, 2015
Last modified
Sep 16, 2015
Page views
133790
Downloads
3250
- 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
Other amount (MK) a month from now (s19q09)
Data file: SIHR3_PII_S19_public
Overview
Valid:
1350
Invalid:
2234
Type:
Discrete
Decimal:
0
Start:
64
End:
69
Width:
6
Range:
0 - 999999
Format:
Numeric
Questions and instructions
Question pretext
Now I want to ask you some questions about a hypothetical situation. Suppose you have earned 500 Kwacha for work that you have done for a trustworthy neighbor during the last week. The neighbor gives you an option for how he pays you for this work. One option is that you get paid today. The alternative option will be to get a slightly higher payment in a month from now.
Literal question
How much would the neighbor have to pay you one month from today so that you would prefer to be paid in one month rather than receiving 500 Kwacha today?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 2 |
0.1%
|
|
| 100 | 2 |
0.1%
|
|
| 500 | 58 |
4.3%
|
|
| 550 | 1 |
0.1%
|
|
| 600 | 1 |
0.1%
|
|
| 800 | 70 |
5.2%
|
|
| 850 | 14 |
1%
|
|
| 900 | 63 |
4.7%
|
|
| 950 | 7 |
0.5%
|
|
| 980 | 1 |
0.1%
|
|
| 1000 | 671 |
49.7%
|
|
| 1100 | 12 |
0.9%
|
|
| 1200 | 59 |
4.4%
|
|
| 1250 | 1 |
0.1%
|
|
| 1300 | 17 |
1.3%
|
|
| 1400 | 6 |
0.4%
|
|
| 1500 | 166 |
12.3%
|
|
| 1600 | 3 |
0.2%
|
|
| 1700 | 10 |
0.7%
|
|
| 1750 | 2 |
0.1%
|
|
| 1800 | 5 |
0.4%
|
|
| 2000 | 115 |
8.5%
|
|
| 2500 | 15 |
1.1%
|
|
| 3000 | 20 |
1.5%
|
|
| 3500 | 2 |
0.1%
|
|
| 4000 | 5 |
0.4%
|
|
| 5000 | 11 |
0.8%
|
|
| 10000 | 6 |
0.4%
|
|
| 888888 | Don't know | 0 |
0%
|
| 999999 | Missing | 5 |
0.4%
|
| Sysmiss | 2234 |
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.