Multiple Indicator Cluster Survey 2006
Kazakhstan, 2006
Get MicrodataCreated on
Oct 04, 2021
Last modified
Oct 13, 2021
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Wealth index quintiles (wlthind5)
Data file: hh
Overview
Valid:
15000
Valid (weighted):
14564.001
Invalid:
0
Invalid (weighted):
0
Type:
Discrete
Decimal:
0
Start:
273
End:
273
Width:
1
Range:
0 - 5
Format:
Numeric
Weighted variable:
V896
Questions and instructions
Question pretext
Recoded variable
Categories
| Value | Category | Cases | Weighted | |
|---|---|---|---|---|
| 0 | 436 | 0 |
0%
|
|
| 1 | Poorest | 2598 | 2208 |
15.2%
|
| 2 | Second | 2813 | 2554 |
17.5%
|
| 3 | Middle | 2744 | 2751 |
18.9%
|
| 4 | Fourth | 3069 | 3560 |
24.4%
|
| 5 | Richest | 3340 | 3491 |
24%
|
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.
Description
Universe
Women aged 15-49
Source of information
Variable constructed for analysis
Imputation and derivation
Imputation
The wealth index is calculated by the program wealth.sps, which creates a data file wealth.sav that contains identification variables, a variable containing each household wealth score and a variable containing each household's wealth index. The program wealth.sps first produces frequencies of all household variables concerned with wealth or assets. It then recodes variables describing household and individual assets into dichotomous variables. The program then uses factor analysis (specifically principal components analysis) to calculate a wealth score for each household. Finally, it uses the wealth score to create household wealth quintiles (that is, the wealth index) and then saves them in an SPSS data file. Once the wealth index has been calculated, executing the program wealth_merge.sps will add it to the analysis files. All the above mentioned SPSS files can be found in the data processing folder under technical information.