Table 5 Logit regression for computing propensity scores results
From: Articulating fertilizer subsidy effects on women’s diet quality by food supply source in Mali
Variables | Niger Delta | Koutiala Plateau |
|---|---|---|
Age | 0.010 | 0.003 |
Distbitumee | −0.038*** | 0.003* |
Distmarket | −0.038** | −0.01 |
Areaeaf | −0.047*** | −0.019* |
Children | −0.096* | 0.017 |
Localmarket | 0.000 | 0.000 |
Plotage | −0.007 | 0.012** |
Familysize | 0.040 | −0.028 |
Edugerant | 0.066** | 0.073** |
Agegerant | 0.001 | 0.004 |
Ltransfert | −0.014 | −0.006 |
Nonfarminc | −0.043*** | −0.008 |
Headeaf | 0.236 | 0.145 |
Farminc | 0.473*** | 0.093*** |
Allcropsaleskg | −0.001 | −0.001 |
Disthealthcter | −0.011 | −0.015 |
Memberop | −0.212 | 1.239*** |
Bicycle | −0.012 | 0.050* |
Motobike | 0.146 | 0.144** |
Depratio | 1.630* | 0.267 |
_cons | −5.074*** | −1.895** |
McFadden pseudo R2 | 0.268 | 0.057 |
N | 1333 | 1626 |