Effect of having private health insurance on the use of health care services: the case of Spain

Cantarero-Prieto, David; Pascual-Sáez, Marta; Gonzalez-Prieto, Noelia

doi:10.1186/s12913-017-2667-4

BMC Health Services Research

Table 4 Probit Estimates

From: Effect of having private health insurance on the use of health care services: the case of Spain

	2001					2000
	Coef.	Std. Err.	z	P > \|z\|	dF/dx	Coef.	Std. Err.	z	P > \|z\|	dF/dx
AGE	0.0053	0.0014	3.7900	0.0000	0.0009	0.0069	0.0015	4.6500	0.0000	0.0010
FEMALE	0.0048	0.0373	0.1300	0.8970	0.0008	0.0620	0.0394	1.5700	0.1160	0.0093
UNEMPLOYMENT	−0.4790	0.0967	−4.9600	0.0000	−0.0622	−0.3185	0.0919	−3.4600	0.0010	−0.0389
WAGE	0.0235	0.0122	1.9200	0.0550	0.0040	0.0353	0.0125	2.8200	0.0050	0.0053
EDUC1	−0.6691	0.0547	−12.2400	0.0000	−0.1094	−0.6647	0.0570	−11.6600	0.0000	−0.0958
EDUC2	0.4817	0.0451	10.6700	0.0000	0.1022	0.4790	0.0473	10.1200	0.0000	0.0902
FAIR_HEALTH	−0.0769	0.0517	−1.4900	0.1370	−0.0129	−0.1284	0.0568	−2.2600	0.0240	−0.0182
BAD_HEALTH	−0.3872	0.0899	−4.3100	0.0000	−0.0546	−0.3551	0.0905	−3.9300	0.0000	−0.0438
CHRONIC	0.0234	0.0553	0.4200	0.6730	0.0041	0.1204	0.0582	2.0700	0.0390	0.0188
HOSPITAL	0.1440	0.0648	2.2200	0.0260	0.0267	0.1489	0.0693	2.1500	0.0320	0.0242
SMOKE	−0.0509	0.0386	−1.3200	0.1880	−0.0087	0.0041	0.0403	0.1000	0.9180	0.0006
MARRIED	0.1444	0.0381	3.7900	0.0000	0.0245	0.1716	0.0401	4.2800	0.0000	0.0252
_cons	−1.5293	0.1110	−13.7800	0.0000		−1.8762	0.1144	−16.4000	0.0000
Numb. of obs	9507.0000					9558.0000
Log likelihood	−3134.2760					−2798.6910
Pseudo R2	0.0927					0.0904
	1999					1998
	Coef.	Std. Err.	z	P > \|z\|	dF/dx	Coef.	Std. Err.	z	P > \|z\|	dF/dx
AGE	0.0065	0.0014	4.5200	0.0000	0.0010	0.0079	0.0014	5.6600	0.0000	0.0013
FEMALE	0.0598	0.0388	1.5400	0.1230	0.0093	0.0364	0.0374	0.9700	0.3300	0.0060
UNEMPLOYMENT	−0.3352	0.0892	−3.7600	0.0000	−0.0423	−0.2565	0.0750	−3.4200	0.0010	−0.0363
WAGE	0.0433	0.0135	3.1900	0.0010	0.0067	0.0145	0.0121	1.2000	0.2300	0.0024
EDUC1	−0.6338	0.0560	−11.3300	0.0000	−0.0950	−0.6165	0.0529	−11.6400	0.0000	−0.0983
EDUC2	0.4106	0.0478	8.5900	0.0000	0.0775	0.4479	0.0473	9.4700	0.0000	0.0907
FAIR_HEALTH	−0.1227	0.0552	−2.2200	0.0260	−0.0181	−0.1618	0.0524	−3.0900	0.0020	−0.0249
BAD_HEALTH	−0.4180	0.0925	−4.5200	0.0000	−0.0516	−0.3484	0.0821	−4.2400	0.0000	−0.0478
CHRONIC	0.0597	0.0574	1.0400	0.2980	0.0094	0.0406	0.0539	0.7500	0.4520	0.0067
HOSPITAL	0.2436	0.0666	3.6600	0.0000	0.0432	0.0447	0.0660	0.6800	0.4980	0.0075
SMOKE	−0.0487	0.0398	−1.2200	0.2210	−0.0075	−0.0216	0.0382	−0.5700	0.5710	−0.0035
MARRIED	0.1271	0.0393	3.2300	0.0010	0.0194	0.0910	0.0381	2.3900	0.0170	0.0148
_cons	−1.8484	0.1200	−15.4000	0.0000		−1.5825	0.1056	−14.9900	0.0000
Numb. of obs	9619.0000					9934.0000
Log likelihood	−2899.6812					−3116.5375
Pseudo R2	0.0830					0.0744

(*) dF/dx is for discrete change of dummy variable from 0 to 1. z and P > |z| are the test of the underlying coefficient being 0
Source: Author’s elaboration from ECHP

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