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Table 3 Propensity score estimation

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

  (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   
  1. *, **, *** denote statistical significance at 10%, 5%, and 1% level, respectively