hypothesis 3 Bulgaria, Denmark, Romania and Sweden are left out as control variables because including these countries biases the results because of their very low sample size for this question. They were left out as control variables because for these countries there were less than five observations for this question, where for the other countries there were more than ten observations per country. Results 4 presents a correlation matrix of the variables used in the multinomial regression models. Computations of the variance inflation factor (VIF) show that the results are not biased by multicollinearity (VIF<1.096). 1. 2. 3. 4. 5. 6. 7. 8. 9. 1. Pref. fam. bus 1 2. Entrepreneurial course .01 1 3. Risk taking behaviour .03 .04 1 4. Fear of failure -.06 -.05 .02 1 6. -.00 .05 .01 .01 1 Type of income 7. Type of entrepreneur .05 -.04 .03 .11 .02 1 8. Gender -.04 .01 .07 -.03 .01 -.03 1 9. Age when stopped -.06 .10 -.03 -.13 -.04 -.13 .03 1 education 10. Age .00 -.09 -.20 .03 .07 -.05 .02 .08 1 Table 4: Correlation table 5 shows the multinomial regression results for hypothesis 1 in model 1 and hypothesis 2 in model 2. First the control variables are shown, and below the control variables the variables of interest. 4.1 Level and type of education Focussing on the level of education, Table 5 shows that compared to family business owners, founders (Coeff.=0.11; p<0.01) and owners who took over a business (Coeff.=0.07; p<0.01) are significantly more likely to have studied longer. This result is in line with the expectations in hypothesis 1a, hence hypothesis 1a is supported. Founders (Coeff.=-0.06; p>0.10) and owners who took over a business (Coeff.=-0.11; p>0.10) are compared to family business owners also more likely to have followed an entrepreneurial course, but this effect is not significant, which was not in line with expectations. Hence hypothesis 1b is rejected.
hypothesis 3 Bulgaria, Denmark, Romania and Sweden are left out as control variables because including these countries biases the results because of their very low sample size for this question. They were left out as control variables because for these countries there were less than five observations for this question, where for the other countries there were more than ten observations per country. Results 4 presents a correlation matrix of the variables used in the multinomial regression models. Computations of the variance inflation factor (VIF) show that the results are not biased by multicollinearity (VIF<1.096). 1. 2. 3. 4. 5. 6. 7. 8. 9. 1. Pref. fam. bus 1 2. Entrepreneurial course .01 1 3. Risk taking behaviour .03 .04 1 4. Fear of failure -.06 -.05 .02 1 6. Type of income -.00 .05 .01 .01 1 7. Type of entrepreneur .05 -.04 .03 .11 .02 1 8. Gender -.04 .01 .07 -.03 .01 -.03 1 9. Age when stopped education -.06 .10 -.03 -.13 -.04 -.13 .03 1 10. Age .00 -.09 -.20 .03 .07 -.05 .02 .08 1 Table 4: Correlation table 5 shows the multinomial regression results for hypothesis 1 in model 1 and hypothesis 2 in model 2. First the control variables are shown, and below the control variables the variables of interest. 4.1 Level and type of education Focussing on the level of education, Table 5 shows that compared to family business owners, founders (Coeff.=0.11; p<0.01) and owners who took over a business (Coeff.=0.07; p<0.01) are significantly more likely to have studied longer. This result is in line with the expectations in hypothesis 1a, hence hypothesis 1a is supported. Founders (Coeff.=-0.06; p>0.10) and owners who took over a business (Coeff.=-0.11; p>0.10) are compared to family business owners also more likely to have followed an entrepreneurial course, but this effect is not significant, which was not in line with expectations. Hence hypothesis 1b is rejected.
B-scriptie_vanderHart-_382831.docx