Research Article
Empirical Analysis of Beneficial Equality of the Basic Medical Insurance for Migrants in China
Table 3
Factors of the medical compensation level and being hospitalized accessibility.
| | Variable | Heckman model | Possibility of hospitalization | | First step (1) | Second step (2) |
| | Male | | Male = 1 | −0.4014 (0.0177) | −0.3588 (0.0226) | −0.4048 (0.0178) | | Age/10 | −0.6179 (0.0602) | −0.5530 (0.0700) | −0.6160 (0.0603) | | Age square/100 | 8.7709 (0.9432) | 7.9400 (1.0908) | 8.7391 (0.9442) | | Education | | Junior high school | −0.0509 (0.0277) | −0.0400 (0.0310) | −0.0541 (0.0277) | | Senior high school | 0.0880 (0.0319) | 0.1135 (0.0355) | 0.0805 (0.0321) | | Specialist college | 0.3169 (0.0371) | 0.3434 (0.0414) | 0.3124 (0.0384) | | College or above | 0.4411 (0.0427) | 0.5347 (0.0468) | 0.4433 (0.0453) | | Marriage status | | First married or remarried | 0.8634 (0.0402) | 0.7929 (0.0494) | 0.8623 (0.0402) | | Divorced or widowed | 0.6423 (0.0766) | 0.5958 (0.0873) | 0.6500 (0.0763) | | Working status | | Employee | −0.0039 (0.0645) | 0.0240 (0.0713) | −0.0156 (0.0642) | | Employed | −0.0896 (0.0709) | −0.1655 (0.0785) | −0.0996 (0.0706) | | Self-employed | −0.0213 (0.0657) | −0.0761 (0.0726) | −0.0242 (0.0654) | | Income | | Lowest income | −0.0662 (0.0285) | −0.1106 (0.0317) | −0.0759 (0.0286) | | Lower income | −0.1372 (0.0294) | -0.1402 (0.0330) | −0.1402 (0.0294) | | Middle income | −0.1378 (0.0261) | −0.1347 (0.0291) | −0.1402 (0.0261) | | Higher income | −0.1319 (0.0262) | −0.1604 (0.0292) | −0.1385 (0.0263) | | Hukou | | Nonrural | −0.0319 (0.0141) | — | −0.0208 (0.0264) | | Constant | −1.7123 | −1.5294 | −1.6919 | | (0.1105) | (0.1335) | (0.1104) | | Year dummies | Yes | Yes | Yes | | City dummies | Yes | Yes | Yes | | Wald test (rho = 0) chi2 (1): | 2143.94 | — | | Observations | 151999 | 2198 | 154197 |
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Standard errors are in parentheses; , , and . |
