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Table 4 The maximum likelihood estimation of the binary logit model

From: Factors affecting adoption of upland rice in Tselemti district, northern Ethiopia

No. Variable B value SE Wald Sig. Odds ratio
1 Age of the household head 0.035 0.027 1.632 0.201 1.035
2 Sex of the household head − 0.513 1.029 0.249 0.618 0.599
3 Level of education 0.814 0.333 5.980 0.014** 2.256
4 Farm size 0.166 0.602 0.076 0.783 1.181
5 Livestock holding 0.032 0.069 0.211 0.646 1.032
6 Perception on rice yield 2.468 0.750 10.822 0.001*** 11.797
7 Off-farm income 1.113 0.643 2.997 0.083* 3.044
8 Access to credit 0.981 0.515 3.627 0.057* 2.666
9 Market distance − 0.084 0.050 2.838 0.092* 0.919
10 Contact with extension agent 0.407 1.313 0.096 0.757 1.502
11 Participation on field days 1.755 0.585 8.996 0.003*** 5.784
12 Participation on training 1.287 0.569 5.127 0.024** 3.624
13 Annual farm income 0.000 0.0001 1.580 0.209 1.000
14 Labor availability 0.087 0.201 0.189 0.664 1.091
15 Constant − 8.035 2.397 11.239 0.001*** 0.000
χ2 value   100.541***    
− 2 log likelihood   102.873    
Overall model predictions   88%    
  1. ***, ** and * significant at 1%, 5% and 10% significant level, respectively