Table 6 Robustness check results
From: The effect of medical insurance on catastrophic health expenditure: evidence from China
Variable | Global regression | Regression by gender | Regression by health status | ||
|---|---|---|---|---|---|
Male | Female | Healthy residents | Unhealthy residents | ||
Gender | 0.044 (0.063) |  |  | − 0.000 (0.087) | 0.090 (0.086) |
Marital status | − 0.303 (0.083)** | − 0.293 (0.117)* | − 0.329 (0.118)** | − 0.192 (0.117) | − 0.459 (0.116)** |
Hukou status | − 0.074 (0.127) | − 0.018 (0.176) | − 0.131 (0.185) | − 0.159 (0.171) | − 0.021 (0.192) |
Have chronic diseases | 0.781 (0.064)** | 0.866 (0.094)** | 0.707 (0.088)** | 0.827 (0.112)** | 0.774 (0.079)** |
Health status | 0.839 (0.058)** | 0.883 (0.082)** | 0.789 (0.081)** | Â | Â |
UEBMI | − 0.132 (0.157) | − 0.160 (0.202) | − 0.054 (0.252) | − 0.147 (0.213) | − 0.167 (0.238) |
URBMI | − 0.169 (0.177) | − 0.276 (0.245) | 0.013 (0.267) | − 0.179 (0.250) | − 0.224 (0.255) |
NRCMI | 0.314 (0.179) | 0.238 (0.238) | 0.467 (0.274) | 0.237 (0.239) | 0.326 (0.272) |
SMI | − 0.811 (0.371)* | − 1.743 (0.770)* | − 0.287 (0.449) | − 1.132 (0.570)* | − 0.403 (0.515) |
Constant | − 2.781 (0.202) | − 2.686 (0.264) | − 2.886 (0.304) | − 2.893 (0.276) | − 1.795 (0.299) |