Table 2.
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 | 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.