Table 3 Logistic regression results
From: Does persistence make you healthy? An empirical study on female entrepreneurs from China
| Variable | Model 1 | Model 2 |
|---|---|---|
| Constant |
3.429 (1.463) |
6.287* (3.292) |
| Entrepreneur age |
− 0.003 (0.007) |
− 0.117** (4.290) |
| Educational attainment |
− 0.262 (0.489) |
− 0.168 (0.158) |
| Marital status |
0.645 (0.997) |
0.402 (0.308) |
| Child |
− 0.573 (0.401) |
− 0.428 (0.210) |
| Lifestyle |
− 0.405 (0.368) |
− 0.917 (1.505) |
| Industry food manufacturing |
− 0.520 (0.495) |
− 0.345 (0.156) |
| Industry clothing, shoes and hats manufacturing |
− 0.400 (0.270) |
− 0.697 (0.712) |
| Industry art products manufacturing |
− 2.010*** (6.869) |
− 1.736** (4.096) |
| Firm size |
0.066 (0.087) |
− 0.169 (0.443) |
| Sales growth rate |
− 0.028 (0.840) |
− 0.017 (0.253) |
| Entrepreneurial experience |
2.640*** (9.820) | |
| Firm age |
0.271* (2.908) | |
| Cox and Snell R-square | 0.093 | 0.198 |
| Nagelkerke R-square | 0.150 | 0.323 |