Table 3.

Logit regression results of women’s participation in micro businesses

Lists of covariatesCoefficientsStd. Err.Odds ratio
Woman's age0.05***0.021.05
Age of women-owned micro-business−0.020.050.98
Days per week worked0.45***0.111.56
Hours per day worked0.29***0.070.75
Number of dependents0.19**0.101.21
Entrepreneurial experience0.020.031.02
Credit utilization0.76*0.422.15
Member of the family who works for pay or compensation0.73**0.342.07
Savings−0.94***0.300.39
Income received by women from other sources0.170.321.18
Educational attainment: Degree and above was used as a base category for regression
Illiterate−4.40***0.890.01
Completed 1–8 years−1.69**0.770.18
Completed 9–12 years−1.140.770.32
One to two years of skill training0.771.072.17
Diploma−0.560.870.57
Marital status: Widowed was served as a base category
Married−0.590.800.55
Unmarried−1.66**0.850.19
Divorced−1.511.020.22
Constant1.301.603.69
N = 375, Log likelihood = −177.42, LR chi2 (18) = 164.70, p = 0.000, Pseudo R2 = 0.3170

Note:

***, ** and * indicate the levels of significance at 1, 5, and 10%, respectively

Source: Survey data (2021)

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