How Small-Scale Farmers Understand Rain Water Harvesting Technology? Evidence from Northern Ethiopia

Table 4

Econometric modeling.

Probit regression		Std. err	z		Number of obs = 270
Log likelihood = 147.8284					LR chi2 (9) = 78.27
					Prob > chi2 = 0.0000
					Pseudo R2 = 0.2093
rwhta	Coef.				(95% conf. Interval)
Sex	0.4038505	0.1916587	2.11	0.035	0282063	0.77949476
Age	0.0061611	0.0059873	1.03	0.303	−0.0055739	0.017896
Edu	0.040628	0.0232639	1.75	0.081	−0.0049685	0.0862245
Fams	0.0311723	0.0421629	0.74	0.460	−0.0514655	0.1138101
Fars	0.9416275	0.5332914	1.77	0.077	−0.1036045	1.986859
Location	0.0298328	0.2145869	0.14	0.889	−0.3907499	0.4504155
Offin	0.0009064	0.0002596	3.49	0.000	−0.0014152	−0.0003976
Dftc	−0.2583337	0.0550596	−4.69	0.000	−0.3662485	−0.1504189
Dfarm	−0.1211989	0.0639297	−1.90	0.058	−0.2464989	0.0041011
Cons	0.3471292	0.3965447	0.88	0.381	−0.4300842	1.124343

Source: Stata 12 output and authors’ survey (2019), , , and : significant at 10, 5, and 1%, respectively. SE = standard error; MREF = marginal effect.