Table 3 Estimates of the coefficients and marginal effects from the probit regression of supplemental private health insurance enrolment on general health indicator adjusting for demographic variables and physical conditions (equation 2)
From: Risk selection into supplemental private health insurance in China
| Coefficient | Marginal effect | |
|---|---|---|
| General Health Indicatora | 0.214* (0.0926) | 0.0142* (0.00648) |
| Live in rural area | −0.357*** (0.0772) | − 0.0237*** (0.00625) |
| Age | −0.0301*** (0.00448) | − 0.00199*** (0.000359) |
| Male | 0.0730 (0.0837) | 0.00484 (0.00549) |
| Ever had condition | ||
| High blood pressure | 0.0406 (0.113) | 0.00269 (0.00756) |
| Diabetes | −0.168 (0.140) | −0.0112 (0.00938) |
| Cancer | 0.0485 (0.261) | 0.00322 (0.0173) |
| Lung disease | −0.335** (0.127) | −0.0222* (0.00897) |
| Heart problem | 0.0960 (0.105) | 0.00637 (0.00684) |
| Stroke | −0.166 (0.219) | −0.0110 (0.0147) |
| Psychiatric problem | 0.668 (0.390) | 0.0443 (0.0268) |
| Arthritis | −0.0756 (0.0878) | −0.00501 (0.00588) |
| Dyslipidaemia | 0.0404 (0.106) | 0.00268 (0.00698) |
| Liver disease | 0.245 (0.188) | 0.0163 (0.0127) |
| Kidney disease | 0.354 (0.246) | 0.0235 (0.0171) |
| Stomach/digestive disease | −0.144 (0.0968) | −0.00954 (0.00656) |
| Asthma | 0.174 (0.176) | 0.0115 (0.0117) |
| Memory problem | 0.383 (0.304) | 0.0254 (0.0204) |
| N | 12,929 | |