Binary logistic regression of hybrid career choice
| Model | (1) | (2) | (3) | (4) | ||||
|---|---|---|---|---|---|---|---|---|
| Chi-Square | 21,607** | 22,667*** | 33,013*** | 27,696* | ||||
| Goodness-of-fit test | 7,143 | 12,351 | 5,338 | 6,389 | ||||
| β (S.E.) | Exp(β) (C.I.) | β (S.E.) | Exp(β) (C.I.) | β (S.E.) | Exp(β) (C.I.) | β (S.E.) | Exp(β) (C.I.) | |
| Controls | ||||||||
| Gender | −1,235** (0.5) | 0.291 (0.109–0.775) | −1,176** (0.502) | 0.308 (0.115–0.825) | −1,377** (0.533) | 0.252 (0.089–0.717) | −1,313** (0.567) | 0.269 (0.088–0.818) |
| University: NTNU | 0.757 (0.706) | 2,131 (0.535–8,496) | 0.617 (0.715) | 1,854 (0.456–7,537) | 0.729 (0.757) | 2,072 (0.47–9,136) | 0.617 (0.814) | 1,854 (0.376–9,149) |
| University: Lund | 1,587** (0.661) | 4,888 (1,338–17,852) | 1,625** (0.663) | 5,078 (1,384–18,638) | 1,443** (0.68) | 4,234 (1,116–16,058) | 1,312* (0.702) | 3,714 (0.938–14,705) |
| Family status | 0.92* (0.479) | 2,509 (0.98–6,422) | 0.925* (0.48) | 2,521 (0.984–6,463) | 0.865* (0.496) | 2,374 (0.898–6,276) | 0.558 (0.547) | 1,747 (0.599–5,101) |
| Children | −1,444* (0.783) | 0.236 (0.051–1,095) | −1,415* (0.785) | 0.243 (0.052–1,131) | −1,433 (0.788) | 0.239 (0.051–1,119) | −1,292 (0.821) | 0.275 (0.055–1,373) |
| Parent 1 educational level | 0.286 (0.267) | 1,331 (0.789–2,246) | 0.24 (0.291) | 1,271 (0.718–2.25) | ||||
| Parent 2 educational level | −0.306 (0.324) | 0.736 (0.39–1.39) | −0.251 (0.352) | 0.778 (0.39–1,551) | ||||
| Experiential learning | ||||||||
| Pre-education start-up experience | −0.644 (0.469) | 0.525 (0.21–1,315) | −0.73 (0.479) | 0.482 (0.188–1,233) | 0.416 (0.469) | 1,517 (0.605–3,802) | ||
| Entrepreneurship education | ||||||||
| Corp-VCP | −0.587 (0.586) | 0.556 (0.176–1,755) | −0.863 (0.547) | 0.422 (0.144–1,232) | ||||
| Entrepreneurship pedigree | ||||||||
| Parents | 1,169** (0.464) | 3,219 (1,297–7,986) | 1,302** (0.512) | 3,676 (1,348–10,028) | ||||
| Siblings | 1,068* (0.585) | 2,909 (0.925–9.15) | 1,143* (0.61) | 3,136 (0.948–10,372) | ||||
| Grandparents | 0.21 (0.509) | 1,234 (0.455–3,344) | 0.037 (0.562) | 1,038 (0.345–3,125) | ||||
| Model | (1) | (2) | (3) | (4) | ||||
|---|---|---|---|---|---|---|---|---|
| Chi-Square | 21,607** | 22,667*** | 33,013*** | 27,696* | ||||
| Goodness-of-fit test | 7,143 | 12,351 | 5,338 | 6,389 | ||||
| Gender | −1,235** (0.5) | 0.291 (0.109–0.775) | −1,176** (0.502) | 0.308 (0.115–0.825) | −1,377** (0.533) | 0.252 (0.089–0.717) | −1,313** (0.567) | 0.269 (0.088–0.818) |
| University: NTNU | 0.757 (0.706) | 2,131 (0.535–8,496) | 0.617 (0.715) | 1,854 (0.456–7,537) | 0.729 (0.757) | 2,072 (0.47–9,136) | 0.617 (0.814) | 1,854 (0.376–9,149) |
| University: Lund | 1,587** (0.661) | 4,888 (1,338–17,852) | 1,625** (0.663) | 5,078 (1,384–18,638) | 1,443** (0.68) | 4,234 (1,116–16,058) | 1,312* (0.702) | 3,714 (0.938–14,705) |
| Family status | 0.92* (0.479) | 2,509 (0.98–6,422) | 0.925* (0.48) | 2,521 (0.984–6,463) | 0.865* (0.496) | 2,374 (0.898–6,276) | 0.558 (0.547) | 1,747 (0.599–5,101) |
| Children | −1,444* (0.783) | 0.236 (0.051–1,095) | −1,415* (0.785) | 0.243 (0.052–1,131) | −1,433 (0.788) | 0.239 (0.051–1,119) | −1,292 (0.821) | 0.275 (0.055–1,373) |
| Parent 1 educational level | 0.286 (0.267) | 1,331 (0.789–2,246) | 0.24 (0.291) | 1,271 (0.718–2.25) | ||||
| Parent 2 educational level | −0.306 (0.324) | 0.736 (0.39–1.39) | −0.251 (0.352) | 0.778 (0.39–1,551) | ||||
| Pre-education start-up experience | −0.644 (0.469) | 0.525 (0.21–1,315) | −0.73 (0.479) | 0.482 (0.188–1,233) | 0.416 (0.469) | 1,517 (0.605–3,802) | ||
| Corp-VCP | −0.587 (0.586) | 0.556 (0.176–1,755) | −0.863 (0.547) | 0.422 (0.144–1,232) | ||||
| Parents | 1,169** (0.464) | 3,219 (1,297–7,986) | 1,302** (0.512) | 3,676 (1,348–10,028) | ||||
| Siblings | 1,068* (0.585) | 2,909 (0.925–9.15) | 1,143* (0.61) | 3,136 (0.948–10,372) | ||||
| Grandparents | 0.21 (0.509) | 1,234 (0.455–3,344) | 0.037 (0.562) | 1,038 (0.345–3,125) | ||||
Note(s): *p < 0.1, **p < 0.05 and ***p < 0.01
Source(s): Authors' own creation/work
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