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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
  1. The number in the parenthesis are the results from Wald-Test
  2. Data source calculated and sorted out by authors
  3. *Means p < 0.1, ** means p < 0.05, *** means p < 0.01, two-tailed test