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Table 3 Probit regressions: entrepreneurial startup

From: Religious diversity and entrepreneurship in transition: lessons for policymakers

 

(1)

(2)

(3)

 

margins_b/margins_se

margins_b/margins_se

margins_b/margins_se

Diversity

0.11**

0.05

0.06

 

(0.06)

(0.06)

(0.06)

Male

 

-0.01

-0.01

  

(0.02)

(0.01)

Age

 

0.00

0.00

  

(0.00)

(0.00)

A g e 2

 

–

–

Muslim

 

-0.03

-0.03

  

(0.04)

(0.05)

Christian

 

0.01

0.02

  

(0.03)

(0.03)

Risk Score

 

0.02***

0.02***

  

(0.01)

(0.01)

Secondary Education

 

0.03

0.04

  

(0.04)

(0.04)

College Education

 

0.07

0.06

  

(0.04)

(0.05)

Father’s Education

 

0.00

0.00

  

(0.00)

(0.00)

Member Communist Party

 

-0.02

-0.02

  

(0.02)

(0.02)

Urban

 

-0.01

-0.01

  

(0.02)

(0.02)

Loan Accepted

 

0.14***

0.14***

  

(0.02)

(0.02)

Loan Rejected

 

-0.34***

-0.33***

  

(0.04)

(0.04)

Locality Avg. Wealth

  

0.01

   

(0.01)

Locality Avg. Trust

  

0.01

   

(0.02)

Locality Avg. Corruption

  

-0.01

   

(0.02)

Geography Controls

  

✓

Country F.E.

✓

✓

✓

Obs.

4,106

3,172

3,046

Pseudo R 2

0.07

0.16

0.16

  1. Notes. The table presents average marginal effects obtained from probit regressions. The dependent variable is whether the individual ever set up a business (conditional on trial). Robust standard errors in parentheses are clustered at the country level. The Geography Controls not listed in the table are: Locality Population, Locality Latitude, Locality Longitude, Locality Altitude, Locality Distance to Mine, Locality Distance to Capital, Locality Distance to Border, Locality on Water. *p < 0.10, ** p < 0.05, *** p<0.01. Checkmarks indicate that the respective control is included in the regressions.