TABLE 3.
Health insurance coverage of the migrant workers at different ages (China. 2018).
| (1) | (2) | (3) | |
|---|---|---|---|
| Female | −0.00978 (0.00527) | −0.00657 (0.00461) | 0.0318*** (0.00458) |
| Female*age (16, 25) | 0.0476*** (0.00778) | 0.0343*** (0.00673) | −0.0570*** (0.00744) |
| Female*age (25, 35) | 0.0834*** (0.000626) | 0.0727*** (0.00519) | 0.00586 (0.00517) |
| Female*age (35, 45) | 0.140*** (0.00579) | 0.119*** (0.00504) | 0.0139** (0.00534) |
| Female*age (50, 60) | −0.0833*** (0.0103) | −0.0762*** (0.00656) | −0.0390*** (0.00701) |
| Female*age (60, 70) | 0.0490*** (0.00607) | 0.0392*** (0.00493) | 0.000722 (0.00496) |
| Female*age (70, 80) | −0.104 (0.0875) | −0.0966** (0.0367) | −0.00930 (0.0368) |
| Female*age ([80, 100) | −0.0302*** (0.00739) | −0.0340*** (0.00518) | −0.0277*** (0.00527) |
| X | NO | NO | YES |
| City | NO | YES | YES |
| N | 79,178 | 79,178 | 79,178 |
Notes: 1) Dependent variable: health insurance coverage. 2) The control age group is (45, 50). 3) The control variables X include education, ethnicity, occupation, household income, Hukou, marital Status, and so on. City represents fixed effects after controlling for cities. 4) ***, **, * indicates statistical significance of 1%, 5% and 10% levels, respectively. Numbers in parentheses are standard errors for robust SE.