The impact of health insurance on outpatient utilization and expenditure: evidence from one middle-income country using national household survey data

Table 5 Estimation of model (1) Probability of outpatient use, Jordan 2000

Dependent variable: Visited outpatient provider when ill	(1)	(2)	(3)
INCOME	0.125	0.127	0.345**
	[0.12]	[0.12]	[0.15]
INSURED	0.158		1.763**
	[0.14]		[0.83]
AGE	-0.0533***	-0.0537***	-0.0282**
	[0.020]	[0.019]	[0.014]
AGE^2	0.000490*	0.000496*	0.000214
	[0.00026]	[0.00026]	[0.00018]
MALE	-0.127	-0.119	0.0481
	[0.16]	[0.16]	[0.13]
JORDANIAN	-0.224	-0.231	-0.327
	[0.36]	[0.36]	[0.30]
EDUCATION	0.0159	0.0157	-0.00979
	[0.020]	[0.020]	[0.014]
MARRIED	0.339*	0.338*	0.168
	[0.19]	[0.19]	[0.16]
PAID EMPLOYEE	0.215	0.229	0.176
	[0.21]	[0.21]	[0.18]
SAH-similar	0.200	0.198	0.172
	[0.16]	[0.16]	[0.13]
SAH-worse	0.434*	0.430*	0.425**
	[0.25]	[0.25]	[0.20]
CHRONIC ILLNESS	0.665***	0.664***	0.638***
	[0.25]	[0.25]	[0.22]
DISABLED > 3 days	0.682***	0.683***	0.630***
	[0.25]	[0.24]	[0.17]
CENTRAL REGION	-0.101	-0.0950	-0.0601
	[0.15]	[0.15]	[0.14]
NORTH REGION	-0.530***	-0.532***	-0.541***
	[0.15]	[0.15]	[0.14]
MOH insurance		0.341*
		[0.19]
RMS insurance		0.119
		[0.16]
JUH insurance		-0.0906
		[0.64]
UNRWA		0.229
		[0.23]
PRIVATE insurance		0.165
		[0.26]
INC*INSURANCE			-0.344*
			[0.19]
Constant	0.579	0.532	-0.531
	[0.62]	[0.62]	[0.72]
Observations	1632	1632	1632

ISSN: 1478-4505