Table 5.

Probit regression results for migrant workers’ preventive medical service utilization.

Variable	Variable Types	Coeff./Std. Err.
Medical insurance	NRCMS	0.1730 ***
		(0.0385)
	Employment medical care	0.6025 ***
		(0.0762)
	Public health services	0.3943 ***
		(0.1065)
	Other single medical insurance	0.4164 ***
		(0.0840)
	Multiple insurance	0.6768 ***
		(0.0820)
SRH		0.0177
		(0.0231)
Morbidity	Fairly sick	0.1199 **
		(0.0602)
	Seriously sick	0.2649 ***
		(0.0804)
Sex		0.0173
		(0.0336)
Marital status		−0.0623
		(0.0460)
Age		−0.0152 ***
		(0.0022)
Education	Junior high school	0.0280
		(0.0536)
	High school	0.2029 ***
		(0.0583)
	Technical secondary school	0.2688 ***
		(0.0681)
	Junior college	0.2039 **
		(0.0825)
Ln (family income)		−0.0384
		(0.0307)
Hukou		0.0457
		(0.0480)
Region	Central	−0.2594 ***
		(0.0409)
	Western	−0.4409 ***
		(0.0538)
	Intercept	−0.0790
		(0.2582)
Pseudo R2 = 0.059	Wald ${\chi }^2$ = 462.28 ***	N = 7300