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Table 4 Logistic model regression results

From: Determinants of health insurance ownership among South African women

Explanatory variables

Odds ratios

[95% confidence interval]

Coefficients

't'

Health rating

0

0.000009-0.0005

-9.676

-9.537*

Environment rating

26.76

12.43–57.60

3.287

8.404*

Residence

6.969

4.93–9.84

1.942

11.020*

Income

1.001

1.00-1.00

0.0005

13.946*

Education

2.315

1.80–2.97

0.84

6.600*

Age

1.148

1.09–1.20

0.138

5.751*

Age squared

0.999

0.99–1.00

-0.0008

-3.401*

Race

0.787

0.59–1.04

-0.239

-1.691

Household size

0.891

0.86–0.93

-0.115

-5.519*

Occupation

0.733

0.54–0.99

-0.311

-1.971

Employment status

0.518

0.38–0.69

-0.657

-4.308*

Smoking

1.633

1.29–2.07

0.49

4.052*

Alcohol use

0.617

0.45–0.84

-0.483

-3.033*

Contraceptives use

0.372

0.26–0.52

-0.988

-5.700*

Marital status

1.841

1.49–2.27

0.611

5.765*

Constant

-

-

-4.385

-8.755

Sample size

3489

χ2(15)

1438.62

Prob > χ2

0

Pseudo-R2

0.3379

Log likelihood

-1409.7041

  1. Note: * Indicates the coefficients are statistically significant at 95% confidence level, based on a two-tailed test. On the basis of chi-square test of the log-likelihood ratio, the joint effects of estimated logistic model are statistically significant at the 0.1% level.