Table 5.
Logit model result of household program participant and non-participant.
| Independent Variables | Coef. | Std. Err. | Z | P > z | Odds Ratio |
|---|---|---|---|---|---|
| Sex | −1.30872 | 0.976955 | −1.34 | 0.18 | 0.270165 |
| Age | −0.05077 | 0.02594 | −1.96∗∗ | 0.050 | 1.052081 |
| Marital_status | 0.641198 | 0.814803 | 0.79 | 0.431 | 1.898755 |
| Farm size | 0.115353 | 0.093792 | 1.23 | 0.219 | 1.12227 |
| Education | −0.02307 | 0.042184 | −0.55 | 0.584 | 0.977193 |
| Farm experience | −0.02415 | 0.022145 | −1.09 | 0.276 | 0.976144 |
| Distance_FTC | −1.44488 | 0.615116 | −2.35∗∗ | 0.019 | 0.235775 |
| TLU | 0.59885 | 0.20258 | 2.96∗∗∗ | 0.003 | 1.820032 |
| Land size | 1.20958 | 0.263758 | 4.59∗∗∗ | 0.000 | 0.298323 |
| Social position | 0.295548 | 0.352963 | 0.84 | 0.402 | 1.343862 |
| Extension contact | 1.658489 | 0.379699 | 4.37∗∗∗ | 0.000 | 5.251368 |
| Credit | 0.098226 | 0.474377 | 0.21 | 0.836 | 1.103212 |
| Training | 0.000338 | 6.82E-05 | 4.96∗∗∗ | 0.000 | 1.000338 |
| _cons | −2.28681 | 1.292385 | −1.77 | 0.077 | 0.101591 |
| Logistic regression | Number of obs = 236 | ||||
| LR chi2 (13) = 83.89 | |||||
| Prob > chi2 = 0.0000 | |||||
| Log likelihood = −107.44253 | Pseudo R2 = 0.2808 | ||||
and ∗∗ significant at 1% and 5% respectively. Note: Participation is the dependent variable.