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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