Table 2.
Estimates of the parameter estimates in the negative binomial regression for polygyny
| Parameter | B | SE | Wald | P | Exp(B) |
|---|---|---|---|---|---|
| (Intercept) | −4.2634 | 0.2594 | 270.1272 | <0.0001 | 0.0141 |
| Mean age district (y) | −0.0377 | 0.0027 | 194.8048 | <0.0001 | 0.9630 |
| Proportion of land owners (0→1) | 0.7414 | 0.0333 | 495.4211 | <0.0001 | 2.0989 |
| OSR (1→0) | 3.5050 | 0.5057 | 48.0321 | <0.0001 | 33.2822 |
| Urbanization (% urban) (0→1) | −0.2961 | 0.0326 | 82.6585 | <0.0001 | 0.7437 |
| Age (y) | 0.0601 | 0.0003 | 34,145.1404 | <0.0001 | 1.0620 |
| Years of schooling (y) | −0.0388 | 0.0009 | 1,953.9085 | <0.0001 | 0.9619 |
| Urban household (rural→urban) | −0.2591 | 0.0144 | 324.2463 | <0.0001 | 0.7717 |
| Landowner (no→yes) | 0.8276 | 0.2849 | 8.4364 | 0.0037 | 2.2878 |
| Ownership × proportion landowners | −0.1576 | 0.0402 | 15.3918 | <0.0001 | 0.8542 |
| Ownership × OSR | −1.3938 | 0.5826 | 5.7240 | 0.0167 | 0.2481 |
Exp(B) are the odds ratios. The Wald statistic allows evaluation of the significance of individual parameter estimates. Note that the parameter and odds ratio for OSR variables are for OSR decreasing from 1 to 0, rather than increasing from 0 to 1, for ease of interpretation.