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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.