Marriage Transitions in Malawi 2007-2009, Panel Data
Malawi, 2007 - 2009
Get Microdata
Reference ID
MWI_2007-2009_MTM_v01_M
Producer(s)
Kathleen Beegle
Created on
Jun 05, 2019
Last modified
Jun 06, 2019
Page views
253243
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- Data files
- hh2_cmty
- hh2_divorce
- hh2_mkts_foodprices
- hh2_mkts_hlthfac
- hh2_mkts_location
- hh2_mortality
- hh2_tf
- hh2_vct
- hh2p1_cs
- hh2p1_s1
- hh2p1_s2
- hh2p1_s3
- hh2p1_s4
- hh2p1_s5
- hh2p1_s6
- hh2p1_s7
- hh2p1_s8
- hh2p2_cs
- hh2p2_s9
- hh2p2_s10
- hh2p2_s11
- hh2p2_s12
- hh2p2_s13
- hh2p2_s13a
- hh2p2_s14
- hh2p3_cs
- hh2p3_s15
- hh2p3_s16
- hh2p3_s17
- hh2p3_s18
- hh2p3_s19
- hh2p3_s19a
- hh2p3_s20
- hh3_cmty
- hh3_health
- hh3_market_mids
- hh3_market_ms1
- hh3_mortality
- hh3_tf
- hh3_vct
- hh3p1_cs
- hh3p1_s1
- hh3p1_s2
- hh3p1_s3
- hh3p1_s4
- hh3p1_s4b
- hh3p1_s5
- hh3p1_s6
- hh3p1_s8
- hh3p2_cs
- hh3p2_s9
- hh3p2_s10
- hh3p2_s11
- hh3p2_s11b
- hh3p2_s12
- hh3p2_s12b
- hh3p2_s12c
- hh3p2_s13a
- hh3p2_s13b
- hh3p2_s13c
- hh3p2_s13c2
- hh3p2_s14
- hh3p3_cs
- hh3p3_s15
- hh3p3_s16
- hh3p3_s17
- hh3p3_s17b
- hh3p3_s18
- hh3p3_s18b
- hh3p3_s18c
- hh3p3_s19
- hh3p3_s19b
- hh3p3_s20
- mkts_foodprices
- mkts_hlthfac
- mkts_location
- p1_cs
- p1_s1
- p1_s2
- p1_s3
- p1_s4
- p1_s5
- p1_s6
- p1_s7
- p1_s8
- p2_cs
- p2_s9
- p2_s10
- p2_s11
- p2_s12
- p2_s13
- p2_s14
- p2_s14a
- p2_s15
- pi_cs
- pi_mortality
- pi_s1
- pi_s2
- pi_s3
- pi_s4
- pi_s5
- pi_s5a
- pi_s6
- pi_tf
- pi2_cs
- pi2_s1
- pi2_s2
- pi2_s3
- pi2_s3b
- pi2_s4
- pi2_s5
- pi2_s5a
- pi2_s6a
- pi2_s6b
- pi2_s7
- pi2_s7check
- pi2_tf
- ptrack_public
What did you do in response to this shock to try to regain your former welfare l (s5q07b)
Data file: hh3p1_s5
Overview
Valid:
539
Invalid:
18109
Minimum:
1
Maximum:
19
Mean:
7.649
Type:
Discrete
Decimal:
0
Start:
51
End:
52
Width:
2
Range:
1 - 99
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Spent cash savings | 96 |
17.8%
|
| 2 | Sent children to live with relatives | 1 |
0.2%
|
| 3 | Sold assets (tools, furniture, etc.) | 68 |
12.6%
|
| 4 | Sold farmland | 4 |
0.7%
|
| 5 | Rented out farmland | 61 |
11.3%
|
| 6 | Sold animals | 13 |
2.4%
|
| 7 | Sold more crops | 0 |
0%
|
| 8 | Worked longer hours, worked more | 0 |
0%
|
| 9 | Other HH members who weren't working went to work | 53 |
9.8%
|
| 10 | Started a new business | 82 |
15.2%
|
| 11 | Removed children from school to work | 10 |
1.9%
|
| 12 | Went elsewhere to find work for more than a month | 80 |
14.8%
|
| 13 | Borrowed money from relatives | 5 |
0.9%
|
| 14 | Borrowed money from money lender (katapila) | 40 |
7.4%
|
| 15 | Borrowed money from institution (bank, MRFC, etc.) | 11 |
2%
|
| 16 | Received help from religious institution | 1 |
0.2%
|
| 17 | Received help from local NGO | 7 |
1.3%
|
| 18 | Received help from international NGO | 3 |
0.6%
|
| 19 | Received help from government | 4 |
0.7%
|
| 20 | Reduced food consumption | 0 |
0%
|
| 21 | Consumed lower cost, but less preferred foods | 0 |
0%
|
| 22 | Reduced non-food expenditures | 0 |
0%
|
| 23 | Spiritual effort - prayer, sacrifices, consulted diviner | 0 |
0%
|
| 24 | Did not do anything | 0 |
0%
|
| 25 | Other, specify | 0 |
0%
|
| 99 | Missing | 0 |
0%
|
| Sysmiss | 18109 |
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.