Table 4 Multinomial logit model...

Table 4

Multinomial logit model explaining the job types

	DE vs. TE			DF vs. TE			PT vs. TE
	b	rrr	z	b	rrr	z	b	rrr	z
Constant	−5.83*** (1.16)	0.00	−5.02	−2.68*** (0.84)	0.07	−3.21	−4.21*** (1.30)	0.01	−3.25
EPI	0.97*** (0.19)	2.64	5.19	0.49*** (0.14)	1.64	3.53	0.55*** (0.21)	1.74	2.62
Male
Female	−0.03 (0.36)	0.97	−0.10	0.60** (0.30)	1.82	2.00	0.00 (0.45)	1.00	0.00
<35
35–44	−0.61 (0.45)	0.55	−1.35	−0.98** (0.38)	0.38	−2.59	−0.62 (0.58)	0.54	−1.07
45–54	−1.68*** (0.53)	0.19	−3.20	−1.77*** (0.43)	0.17	−4.08	−1.09* (0.62)	0.34	−1.74
>55	−0.52 (0.46)	0.60	−1.12	−1.38*** (0.44)	0.25	−3.15	−0.54 (0.60)	0.58	−0.90
Model fit	N	LL	LRχ²	df	p	pseudo R²
	349	−377.70	78.00	15	0.000	0.094

	DE vs. TE			DF vs. TE			PT vs. TE
	b	rrr	z	b	rrr	z	b	rrr	z
Constant	−5.83*** (1.16)	0.00	−5.02	−2.68*** (0.84)	0.07	−3.21	−4.21*** (1.30)	0.01	−3.25
EPI	0.97*** (0.19)	2.64	5.19	0.49*** (0.14)	1.64	3.53	0.55*** (0.21)	1.74	2.62
Male
Female	−0.03 (0.36)	0.97	−0.10	0.60** (0.30)	1.82	2.00	0.00 (0.45)	1.00	0.00
<35
35–44	−0.61 (0.45)	0.55	−1.35	−0.98** (0.38)	0.38	−2.59	−0.62 (0.58)	0.54	−1.07
45–54	−1.68*** (0.53)	0.19	−3.20	−1.77*** (0.43)	0.17	−4.08	−1.09* (0.62)	0.34	−1.74
>55	−0.52 (0.46)	0.60	−1.12	−1.38*** (0.44)	0.25	−3.15	−0.54 (0.60)	0.58	−0.90
Model fit	N	LL	LRχ²	df	p	pseudo R²
	349	−377.70	78.00	15	0.000	0.094

Note(s): *p < 0.10, **p < 0.05, ***p < 0.01, DE = Digital entrepreneur, DF = Digital freelancer, TE = Traditional-context employee, PT = Part-time platform worker, EPI = Entrepreneurial passion for inventing

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