Table 2. Variation explained by the first principal component of each wealth index1.
| All 41 countries–DHS from 2008–20132 | 29 countries– 2nd DHS survey wave since 20003 | |||||
|---|---|---|---|---|---|---|
| VARIABLES | Country w/lowest variation explained | Country w/median variation explained | Country w/highest variation explained | Country w/lowest variation explained | Country w/median variation explained | Country w/highest variation explained |
| Country-specific measures | ||||||
| Wealth quintile–all assets | 0.11 | 0.20 | 0.32 | 0.12 | 0.20 | 0.32 |
| (Kyrgyz) | (Burkina Faso) | (Tanzania) | (Armenia) | (Bangladesh) | (Tanzania) | |
| Wealth quintile–only assets | 0.13 | 0.22 | 0.32 | 0.14 | 0.22 | 0.32 |
| included for 75% of countries | (Kyrgyz) | (Nepal) | (Tanzania) | (Armenia) | (Madagascar) | (Tanzania) |
| Wealth quintile–only assets | 0.23 | 0.34 | 0.46 | 0.26 | 0.34 | 0.46 |
| included for all countries | (Tajikistan) | (Nepal) | (Ethiopia) | (Egypt) | (Nepal) | (Lesotho) |
| Global measure | ||||||
| Wealth quintile–only assets | 0.29 | 0.35 | ||||
| included for all countries | ||||||
1 The wealth indices were constructed using the first principal component obtained using PCA over different subsets of asset variables, only excluding the outcome variables, as described in the text.
2 Percent of variation explained by the first component for only DHS conducted between 2008 and 2013.
3 Percent of variation explained by the first component for the second DHS survey conducted after 2000.