Table 4

Results of logistic multi-level regression for early-stage entrepreneurship

Model 1Model 2Model 3
O.R.O.R.O.R.
Fixed part
Individual level (control)
Age0.983***0.983***0.983***
(0.001)(0.001)(0.001)
Income1.219***1.219***1.218***
(0.012)(0.012)(0.012)
Education1.169***1.169***1.169***
(0.010)(0.010)(0.010)
Gender1.729***1.729***1.729***
(0.026)(0.026)(0.026)
Country level (control)
GDP PPP0.671┼0.662***0.679***
(0.069)(0.064)(0.059)
GDP growth rate1.0041.0021.001
(0.004)(0.004)(0.004)
Population size0.899*0.918┼0.949
(0.044)(0.043)(0.041)
Social costs of failure 0.968*0.253***
(0.015)(0.087)
Country level (independent)
Gender equality6.727*21.20***
(5.596)(18.47)
Moderating effect
Gender equality*Social cost of failure 6.267***
(2.961)
Random part and model fit
Intercept13.989┼2.8780.558┼
(21.955)(4.491)(0.068)
Deviance142041.37142023.24142013.49
Wald χ23662.343683.613695.13
Prob > χ20.000.000.00
LR Test Prob < χ20.000.000.00
# of Observation286,988286,988286,988
# of Countries35 countries35 countries35 countries
Obs. per group min.1,4801,4801,480
Obs. per group avg.8,1998,1198,119
Obs. per group max.58,12858,12858,128

Note(s):p-Value: ***p < 0.001, **p < 0.01, *p < 0.05 and ┼p < 0.1. SE Value: Indicated within the parenthesis

Source(s): Table by authors

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