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. 2020 Mar 12;17(6):1852. doi: 10.3390/ijerph17061852

Table 2.

The TPM regression results for migrant workers’ medical expenditure.

Variable Variable Types Probability of Migrant Workers’ Consultation Medical Expenditure
Medical insurance Insured by NRCMS 0.0987 *** –0.1321 ***
(0.0361) (0.0447)
Employment medical care 0.1973 ** 0.2158 **
(0.0795) (0.0890)
Public health services 0.1581 –0.0784
(0.1159) (0.1476)
Other single medical insurance 0.0940 0.1965 *
(0.0854) (0.1053)
Multiple insurance 0.2516 *** 0.4116 ***
(0.0904) (0.1045)
SRH –0.1817 *** –0.2776 ***
(0.0230) (0.0283)
Morbidity Fairly sick 1.3565 *** 0.5152 ***
(0.0937) (0.0606)
Seriously sick 2.3421 *** 1.4978 ***
(0.3412) (0.0791)
Sex –0.0586 * –0.1645 ***
(0.0328) (0.0407)
Marital status 0.0230 0.0817
(0.0446) (0.0552)
Age 0.0023 0.0095 ***
(0.0021) (0.0027)
Education Junior high school 0.1119 ** 0.0174
(0.0488) (0.0648)
High school 0.1555 *** 0.0976
(0.0550) (0.0712)
Technical secondary school 0.2026 *** 0.1138
(0.0669) (0.0847)
Junior college 0.2911 *** 0.0531
(0.0832) (0.0993)
Ln (family income) –0.0596 ** 0.0959 ***
(0.0277) (0.0360)
Ln (work time) 0.0133
(0.0191)
Hukou –0.0053
(0.0459)
Region Central 0.1646 *** -0.2854 ***
(0.0394) (0.0485)
Western 0.3989 *** -0.3785 ***
(0.0509) (0.0563)
Intercept 0.8773 *** 5.2987 ***
(0.2444) (0.3066)
N 7300 4734
Pseudo R2/Adj Pseudo R2 = 0.0916 Adj R-squared = 0.1447
Wald χ2 460.27 ***
F 50.87

Note: NRCMS represents the New Rural Cooperative Medical Scheme; SRH represents self-rated health. The reference for “medical insurance” is “no medical insurance.” The references for disease severity, sex, marriage, education, Hukou, and region are “not sick or slightly sick,” “female,” “unmarried,” “elementary school and below,” “rural household registration,” and “eastern China,” respectively. *, **, and *** indicate significance at levels of 10%, 5%, and 1%, respectively. The variables in Table 3, Table 4 and Table 5 have the same definitions.