Table A4.

Probit regression for maize outcome (yield and net income) variable to estimate propensity score.

training	Coef.	Std.Err.	z	P > z	[95% Conf.	Interval]
agesq	.0000124	.0000357	0.350	0.728	-.0000575	.0000824
schoolyr	.0268112	.0217741	1.230	0.218	-.0158652	.0694876
farm_exp	-.008262	.0042398	-1.950	0.051	-.0165718	.0000478
healthco
Somewhat_healthy	-.1117942	.1712725	-0.650	0.514	-.447482	.2238937
Healthy	.2232962	.1662024	1.340	0.179	-.1024545	.5490468
hh_size	.0002525	.02538	0.010	0.992	-.0494913	.0499963
lnd_ownership	.1966414	.1364812	1.440	0.150	-.0708568	.4641395
radio	-.1455571	.1400668	-1.040	0.299	-.420083	.1289688
mobile	-.3150209	.1367052	-2.300	0.021	-.5829581	-.0470837
FtoF_ext	.2121426	.137473	1.540	0.123	-.0572995	.4815847
extn_cont	-.0158555	.033002	-0.480	0.631	-.0805383	.0488273
kebele_cabnt	.2622702	.1372489	1.910	0.056	-.0067328	.5312732
coop	-.2086155	.1380914	-1.510	0.131	-.4792697	.0620386
trn_source	.0287112	.1366985	0.210	0.834	-.2392129	.2966354
trvl_frqcy	-.0082542	.0285436	-0.290	0.772	-.0641985	.0476902
trrom_conv
Fair	.1506881	.1647104	0.910	0.360	-.1721384	.4735147
Convenient	-.0326126	.1739115	-0.190	0.851	-.3734729	.3082478
tr_useful
Fair	.1233185	.1623826	0.760	0.448	-.1949456	.4415827
Useful	.2326937	.1694313	1.370	0.170	-.0993855	.5647729
DA_comptnc
Fair	.3313628	.1684514	1.970	0.049	.0012041	.6615214
Competent	-.0636683	.1761903	-0.360	0.718	-.408995	.2816584
ftc_dist	-.0046173	.0123834	-0.370	0.709	-.0288883	.0196538
_cons	-.0379759	.3912353	-0.100	0.923	-.804783	.7288312
Log likelihood	-241.65151	LR chi 2 (22)	33.76	Number of obs = 373
Pseudo R2	0.0653	Prob > chi 2	0.0519

Source: Stata output.