Table 8 Estimates of logistic regression without agro-ecological dummies
Logistic regression | Number of obs = 335 | |||||
|---|---|---|---|---|---|---|
Wald chi2(12) =  40.37 | ||||||
Prob > chi2 = 0.0001 | ||||||
Log pseudo likelihood = -162.13686 | Pseudo R2 = 0.2782 | |||||
OFATR | Coef | Robust Std. Err | z | P > z | [95% Conf. Interval] | |
GEND | − .68071 | .521727 | − 1.30 | 0.192 | − 1.703276 | .3418561 |
FAMS | .0430281 | .0621043 | 0.69 | 0.488 | − .0786942 | .1647503 |
AGE | .0089223 | .0146305 | 0.61 | 0.542 | − .019753 | .0375977 |
EDUCCAT | .0309713 | .2063623 | 0.15 | 0.881 | − .3734913 | .435434 |
OCCUP | .2410158 | .3420199 | 0.70 | 0.481 | − .4293308 | .9113624 |
ACLF | .0131217 | .1016852 | 0.13 | 0.897 | − .1861777 | .2124211 |
FARMS | − .3671371 | .1599601 | − 2.30 | 0.022 | − .6806531 | − .053621 |
YTR | .5852743 | .3019399 | 1.94 | 0.053 | − .006517 | 1.177066 |
TGEXP | 4.376642 | 1.054511 | 4.15 | 0.000 | 2.309838 | 6.443446 |
AVATR | .1953668 | .2982566 | 0.66 | 0.512 | − .3892054 | .779939 |
TRAIN | .3873335 | .2955154 | 1.31 | 0.190 | − .1918661 | .966533 |
SULNTR | 1.590531 | .7841496 | 2.03 | 0.043 | .053626 | 3.127436 |
_cons | − 5.542972 | 1.257009 | − 4.41 | 0.000 | − 8.006665 | − 3.07928 |