Table 5.
Gender disaggregated logit estimates of the drivers of empowerment domains.
| Variables | Males |
Females |
||
|---|---|---|---|---|
| Production |
Income |
Production |
Income |
|
| Mean marginal effects | ||||
| Commercialization (score 0–1) | 0.251∗∗ (0.111) | 0.355∗∗∗ (0.095) | −0.161 (0.110) | 0.052 (0.053) |
| Education of the household head (years) | −0.007 (0.007) | −0.009 (0.006) | −0.003 (0.008) | 0.005 (0.004) |
| Access to government extension services (yes = 1) | 0.052 (0.040) | 0.147∗∗∗ (0.037) | 0.017 (0.049) | 0.016 (0.031) |
| Value of assets (log KES) | 0.085∗∗∗ (0.025) | 0.061∗∗ (0.027) | 0.081∗∗∗ (0.025) | 0.013 (0.016) |
| Social network strength (score 0–37) | 0.002 (0.002) | 0.002 (0.002) | −0.002 (0.003) | −0.003 (0.002) |
| Marital status (married = 1) | −0.009 (0.104) | −0.038 (0.116) | 0.413∗∗ (0.176) | 0.014 (0.055) |
| Observations | 629 | 629 | 186 | 186 |
| Wald Chi2 | 22.80∗∗∗ | 42.26∗∗ | 19.59∗∗∗ | 5.53 |
| Pseudo R2 | 3% | 5% | 9% | 7% |
Notes: Standard errors are in parentheses and clustered at the group level. Significance levels are reported at the 1% (∗∗∗) and 5% (∗∗) levels. Dependent variables are adequacy dummies for each of the empowerment domains. Exchange rate was 1 US$ = 100 KES.