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. 2022 Jul 1;8(7):e09837. doi: 10.1016/j.heliyon.2022.e09837

Table A2.

Probit regression for wheat outcome (yield) variable to estimate propensity score.

training Coef. Std.Err. z P > z [95%Conf. Interval]
agesq -9.48e-06 .0000361 -0.260 0.793 -.0000802 .0000612
schoolyr .0314656 .0223267 1.410 0.159 -.012294 .0752252
farm_exp -.0053285 .0041682 -1.280 0.201 -.0134981 .0028411
healthco
Somewhat_healthy -.1311346 .1732168 -0.760 0.449 -.4706333 .2083641
Healthy .130297 .1696065 0.770 0.442 -.2021257 .4627196
hh_size .011528 .0260925 0.440 0.659 -.0396124 .0626684
lnd_ownership .2338818 .1379668 1.700 0.090 -.0365281 .5042918
radio -.1553825 .1418429 -1.100 0.273 -.4333895 .1226244
mobile -.267852 .1385634 -1.930 0.053 -.5394313 .0037272
FtoF_ext .1962907 .1391256 1.410 0.158 -.0763906 .4689719
extn_cont .0178034 .0337607 0.530 0.598 -.0483664 .0839732
kebele_cabnt .235158 .1388162 1.690 0.090 -.0369168 .5072329
coop -.1652997 .1399091 -1.180 0.237 -.4395164 .108917
trn_source .1035906 .1381558 0.750 0.453 -.1671899 .374371
trvl_frqcy .0151467 .0291153 0.520 0.603 -.0419182 .0722116
trrom_conv
Fair .0705966 .1673632 0.420 0.673 -.2574293 .3986225
Convenient -.1348181 .1753286 -0.770 0.442 -.4784558 .2088196
tr_useful
Fair .1901379 .1644171 1.160 0.248 -.1321136 .5123894
Useful .3272778 .1735637 1.890 0.059 -.0129007 .6674563
DA_comptnc
Fair .3757864 .1728614 2.170 0.030 .0369843 .7145885
Competent -.1372693 .1736964 -0.790 0.429 -.4777079 .2031694
ftc_dist -.0105855 .0123435 -0.860 0.391 -.0347783 .0136072
_cons
-.2522911
.4005129
-0.630
0.529
-1.037282
.5326998
Log likelihood -234.48748 LR chi 2 (22) 31.53 Number of obs. = 362
Pseudo R2 0.0630 Prob > chi 2 0.0858

Source: Stata output.