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Table 6 Probit results: semi-parametrically adjusted risk measure

From: Migration, risk attitudes, and entrepreneurship: evidence from a representative immigrant survey

  (1) (2) (3)
  Probit Probit Probit
Medium risk 0.076** 0.057* 0.056*
  (0.033) (0.032) (0.031)
High risk 0.097*** 0.077** 0.070**
  (0.035) (0.033) (0.031)
Age   0.005 0.005
   (0.005) (0.005)
Age2   -0.000 -0.000
   (0.000) (0.000)
Proficient English   0.015 0.017
   (0.011) (0.011)
Years of schooling   0.001 -0.000
   (0.003) (0.003)
Married   0.018 0.021
   (0.014) (0.014)
Female   -0.034** -0.037**
   (0.017) (0.017)
Pre-migration entrepreneurial experience   0.100*** 0.093***
   (0.017) (0.012)
Years in Ireland   -0.010 -0.004
   (0.008) (0.010)
Years in Ireland2   0.001** 0.001
   (0.001) (0.001)
Migrant Enclave   0.001* 0.002**
   (0.001) (0.001)
Industry dummies No Yes Yes
Region dummies No No Yes
Observations 1472 1311 1311
Pseudo R2 0.015 0.161 0.192
  1. Standard errors in parentheses.
  2. *p < 0.10, **p < 0.05, ***p < 0.01.
  3. Note: Probit marginal effects estimated at the average. The standard errors in parentheses are robust and clustered by country of birth. Table shows results using when the semi-parametric risk measure has been adjusted using a approach. Dependent variable is `Being Entrepreneur'. `Medium Risk Loving' is a binary variable taking value 1 for individuals with values 3, 4, 5'. High Risk Loving' is a binary variable taking value 1 for individuals with values 6 and 7. The omitted category is `Low Risk Loving', a binary variable taking value 1 for individuals with values 1 and 2. `Pre-Migration Entrepreneurial Experience' is a binary variable taking value 1 when individuals have any self-employment experience in the country of origin. Industry dummies include: transport, construction sector, IT, finance, commerce, education, student, and health. The omitted category is other services. Region dummies include Africa, Asia, Europe New Member States, Rest of EU and South America. The omitted category is North America.