Table 4

Hierarchical regression results: effects of teaching models on new venture creation 0–5 years after graduation (entrepreneurship and nonentrepreneurship graduates)

ModelM1M2M3M4M5
Gender (female = 1)  −0.065***−0.063***−0.064***
  (0.007)(0.007)(0.007)
Danish nationality  −0.010−0.009−0.009
  (0.014)(0.014)(0.014)
Cohabiting  0.0060.0050.005
  (0.008)(0.008)(0.008)
Age  0.0020.0020.002
  (0.002)(0.002)(0.002)
Disposable income (deciles)  0.0030.0030.003
  (0.002)(0.002)(0.002)
Grad. year 2014  0.0010.0010.001
  (0.009)(0.009)(0.009)
Grad. year 2015  −0.003−0.001−0.002
  (0.008)(0.008)(0.008)
Mother new venture creation  0.0860.0870.087
  (0.048)(0.049)(0.049)
Mother firm age 5+ years  −0.032−0.032−0.033
  (0.057)(0.057)(0.057)
Father new venture creation  0.0250.0250.025
  (0.025)(0.025)(0.025)
Father firm age 5+ years  −0.005−0.007−0.007
  (0.025)(0.026)(0.026)
No info on mother  −0.036*−0.039**−0.039**
  (0.014)(0.013)(0.013)
1 EE elective 0.0180.0190.0050.005
 (0.012)(0.012)(0.011)(0.011)
2+ EE electives 0.042*0.034*0.0260.026
 (0.016)(0.016)(0.017)(0.017)
Teaching model0.0250.0150.037*0.049**0.046**
(competence = 1)(0.019)(0.019)(0.015)(0.016)(0.016)
Teaching model × entrepreneurship program cluster    0.058
    (0.078)
Constant  0.0020.0020.002
  (0.002)(0.002)(0.002)
Fixed effectsNoNoNoYesYes
N4,7174,7174,7174,7174,717

Note(s): Standard errors in parentheses, *p < 0.05, **p < 0.01, ***p < 0.001

Source(s): Authors’ own work

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