Adoption of improved agricultural technology and its impact on household income: a propensity score matching estimation in eastern Ethiopia

Table 3 Propensity score estimation

	(1) Coef	(2) Std. Err	(3) z
Age (years)	0.032	0.014	2.36^**
Gender (male)	0.934	0.322	2.90^***
Education (years)	0.028	0.040	0.71
Family Size (number)	–0.183	0.072	–2.53^**
Livestock (TLU)	0.134	0.094	1.42
Land Size (ha)	0.413	0.236	1.75^*
SWM Participation (yes)	1.049	0.322	3.26^***
Irrigation Use (yes)	–0.247	0.337	–0.73
Development Agents (DAs) Visit (yes)	–0.102	0.079	–1.29
Credit Access (yes)	0.286	0.375	0.76
Market Distance (km)	–0.599	0.340	–1.76^*
Asset Value (Birr)	–0.00004	0.00004	–1.23
Constant	–1.412	0.698	–2.02^**
Log Likelihood	–146.769
Number of observations	248
Likelihood Ratio (LR) \({\chi }^{2}\) (12)	49.86
Prob > \({\chi }^{2}\)	0.000
Pseudo R²	0.15

^{*, **, ***} denote statistical significance at 10%, 5%, and 1% level, respectively

ISSN: 2048-7010