Table 4 Logistic regression results of robust test
From: Does persistence make you healthy? An empirical study on female entrepreneurs from China
| Variable | Model 3 | Model 4 |
|---|---|---|
| Constant |
3.429 (1.463) |
7.739** (4.297) |
| Entrepreneur age |
− 0.003 (0.007) |
− 0.130** (4.785) |
| Educational attainment |
− 0.262 (0.489) |
− 0.163 (0.140) |
| Marital status |
0.645 (0.997) |
0.577 (0.591) |
| Child |
− 0.573 (0.401) |
− 0.253 (0.069) |
| Lifestyle |
− 0.405 (0.368) |
− 0.993 (1.720) |
| Industry food manufacturing |
− 0.520 (0.495) |
− 0.539 (0.375) |
| Industry clothing, shoes and hats manufacturing |
− 0.400 (0.270) |
− 0.935 (1.209) |
| Industry art products manufacturing |
− 2.010*** (6.869) |
− 2.065** (4.933) |
| Firm size |
0.066 (0.087) |
− 0.266 (1.007) |
| Sales growth rate |
− 0.028 (0.840) |
− 0.019 (0.304) |
| Entrepreneurial experience |
2.864*** (10.394) | |
| Firm age |
1.685** (4.914) | |
| Cox and Snell R-square | 0.093 | 0.212 |
| Nagelkerke R-square | 0.150 | 0.345 |