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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