Table 9 Estimates of logistic regression with agro-ecological dummies
Logistic regression | Number of obs = 335 | |||||
|---|---|---|---|---|---|---|
Wald chi2(14) = 39.84 | ||||||
Prob > chi2 = 0.0003 | ||||||
Log pseudo likelihood = − 160.78508 | Pseudo R2 = 0.2842 | |||||
OFATR | Coef | Robust Std. Err | z | P > z | [95% Conf | Interval] |
GEND | − .688263 | .5362719 | − 1.28 | 0.199 | − 1.739337 | .3628106 |
FAMS | .0214147 | .0646431 | 0.33 | 0.740 | − .1052834 | .1481128 |
AGE | .011615 | .0153938 | 0.75 | 0.451 | − .0185564 | .0417863 |
EDUCCAT | .007677 | .2093219 | 0.04 | 0.971 | − .4025864 | .4179405 |
OCCUP | .2911039 | .3529805 | 0.82 | 0.410 | − .400725 | .9829329 |
ACLF | .0355878 | .1060421 | 0.34 | 0.737 | − .1722509 | .2434265 |
FARMS | − .4352415 | .1751894 | − 2.48 | 0.013 | − .7786064 | − .0918766 |
YTR | .5636388 | .3032882 | 1.86 | 0.063 | − .0307952 | 1.158073 |
TGEXP | 4.559707 | 1.096407 | 4.16 | 0.000 | 2.41079 | 6.708625 |
AVATR | .167117 | .3001923 | 0.56 | 0.578 | − .4212491 | .7554831 |
TRAIN | .343289 | .300363 | 1.14 | 0.253 | − .2454118 | .9319897 |
SULNTR | 1.697842 | .8413567 | 2.02 | 0.044 | .0488129 | 3.346871 |
HPP | − .7025101 | .4227955 | − 1.66 | 0.097 | − 1.531174 | .1261538 |
HPC | − .6794624 | .4067148 | − 1.67 | 0.095 | − 1.476609 | .1176839 |
LPC | 0 | (omitted) | Â | Â | Â | Â |
_cons | − 5.05041 | 1.278958 | − 3.95 | 0.000 | − 7.557122 | − 2.543698 |