Table 6 . Results of logistic regression analysis for factors influencing the decision to purchase health insurance .

Variables	Model 1			Model 2			Model 3
	β	S.E.	Exp(B)	β	S.E.	Exp(B)	β	S.E.	Exp(B)
Socio-economic Variable
Age (years)	-0.11***	0.02	0.89	-0.11***	0.02	0.89	-0.11***	0.02	0.89
Marital Status (ref-single)	-0.83	0.67	0.43	-0.98	0.72	0.38	-1.14	0.80	0.32
Dependent Members
0–2 (ref)		1			1			1
2–4	-0.26	0.69	0.79	-0.34	0.75	0.71	-0.39	0.81	0.67
4–6	-1.19*	0.65	0.30	-1.49**	0.72	0.22	-1.54**	0.77	0.22
>6	-3.19***	0.87	0.04	-3.49***	0.98	0.03	-3.87**	1.06	0.02
Education
Graduate (ref)		1			1			1
Postgraduate	0.05	0.43	0.95	-0.14	0.47	0.87	0.19	0.52	0.81
Medical expenditure
<2000 (ref)		1			1			1
2000–5000	0.82*	0.54	2.27	0.74	0.52	2.10	0.83	0.50	2.23
5000–10000	0.99*	0.55	2.69	1.01*	0.58	2.73	0.71	0.64	2.08
>10000	2.32***	0.62	10.16	2.04***	0.63	7.66	2.34***	0.67	10.41
Health status
Very good/good (ref)		1			1			1
Fair	0.73*	0.40	2.06	0.79*	0.42	2.20	0.72*	0.43	2.06
Very poor	-0.30	0.47	0.74	-0.40	0.49	0.66	-0.37	0.54	0.69
Perception about Health Insurance product
Subscribing a policy will not benefit me (ref= agree)				0.98**	0.41	2.66	0.99**	0.42	2.70
It will not reduce my medical expenditure (ref= agree)				1.21**	1.21	3.35	1.24***	0.46	3.46
I find product condition too complex (ref= agree)				0.25	0.42	1.28	0.39	0.44	1.48
Companies creates lots of hassles during claims (ref= disagree)				-0.55	0.43	0.58	-0.213	0.46	0.81
Individuals’ personal behavioral factors
Does my job thoroughly (ref= agreed)							0.21	0.47	1.23
Gets nervous easily (ref= disagree)							1.64***	0.48	5.17
Number of observations (n)	263			263			263
2 Log likelihood (χ2)	250.79a			237.67a			224.66a
Nagelkerke R 2	0.43			0.48			0.52
Cox and Snell R2	0.32			0.35			0.38

^aLog likelihood at P= 0.01; ***P≤ 0.001; **P≤ 0.05; *P≤ 0.10. Dependent variable= Insurance status (insured and uninsured)