Table 4.
Coefficients from logistic regressions of whether wives had the final say on types of financial decisions: household expenditure, savings/investment/insurance, housing, or expensive purchases (N = 2,369)
| Predictor | Model 3a Any |
Model 3b Household Expenditure |
Model 3c Savings, Investment, Insurance |
Model 3d Housing |
Model 3e Expensive Goods |
|---|---|---|---|---|---|
| B (SE B) | B (SE B) | B (SE B) | B (SE B) | B (SE B) | |
| Wife’s father’s education – husband’s father’s education (in percentile score/100) | 0.49* (0.21) |
0.47* (0.23) |
0.69** (0.23) |
0.51* (0.24) |
0.41* (0.21) |
| Wife’s education – husband’s education (in percentile score/100) | 0.80** (0.25) |
0.64* (0.26) |
0.80** (0.28) |
0.89** (0.30) |
0.51* (0.25) |
Note: All models controlled for the mean education of the wife and her husband, the mean education of her father and father-in-law, her income share, the couple’s total income, the couple’s respective occupation, parental occupation, homeownership, migrant status, party membership, parental party membership, and housework hours, living arrangements with her parents and parents-in-law, her dowry, her age and its difference with her husband’s age, mean age of her parents when she was born and its difference with mean age of her husbands’ parents when she was born, whether either spouses was an ethnic minority, whether it was non-first marriage for either spouse, whether the household was in an urban area, whether the household engaged in farm work, whether the household engaged in family business, number of children in the household, who the family respondent was, and the region in which the household was located. Numbers were weighted by survey sampling weights to adjust for sampling design and combined across 50 imputations.
*P < 0.05; **P < 0.01; ***P < 0.001 (two-tailed tests).