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Table 4 Binary logistic regression result.

From: Does microcredit use helps farmers win battle against food insecurity: evidence from Jimma zone of Southwest Ethiopia

Variables Coef Odds ratio Z P > z
Sex of the household head − 0.4002 0.6702 − 1.62NS 0.104
The religion of the households head − 0.0752 0.9275 − 0.24NS 0.812
Age of the household head − 0.0187 0.9814 − 0.97NS 0.330
Marital status − 0.3318 0.7176 − 0.93NS 0.352
Education level 0.1862 1.2046 3.51*** 0.000
Family size 0.3518 1.4216 4.61*** 0.000
Farming experience 0.0225 1.0228 1.18NS 0.238
Land size 0.2029 1.2250 2.25** 0.025
Livestock holding − 0.1116 0.895 − 1.94* 0.052
On-farm income − 0.0002 0.998 − 2.28** 0.023
Frequency of extension contact 0.1375 1.1474 1.44NS 0.149
Off-farm/non-farm income 0.0004 1.0004 1.90* 0.057
Time required to reach OCSSCO − 0.0001 0.9999 − 0.03NS 0.975
Constant − 1.7592 0.1722 − 1.98 0.047
Pseudo R2 = 0.1380 Log-likelihood = − 214.72
LR chi2 (13) = 68.73 Number of obs = 360
Prob > chi2 = 0.0000  
  1. NS not significant
  2. *, **and*** are the significance level at 10, 5 and 1%, respectively