Table A2 Diagnostic checks for baseline...

Table A2

Diagnostic checks for baseline logistic regression (Model 7)

Goodness of fit	Test statistic	p-value
Pearson test	122.150	(0.555)
Hosmer-Lemeshow test	0.500	(0.974)

Specification error	Coefficient	p-value
Link test regression
_hat	1.117	(0.000)^***
_hatsq	0.078	(0.449)
Constant	−0.081	(0.820)

Specification error	Coefficient	p-value
Link test regression
_hat	1.117	(0.000)^***
_hatsq	0.078	(0.449)
Constant	−0.081	(0.820)

Multicollinearity	VIF	SQRT VIF	Tolerance	R-squared
Abstract	2.18	1.48	0.4592	0.5408
Manual	1.89	1.37	0.5292	0.4708
Sector	4.35	2.08	0.2301	0.7699
Formality	5.37	2.32	0.1863	0.8137
Activity	1.38	1.18	0.723	0.277
Education	3.38	1.84	0.2958	0.7042
Age	1.39	1.18	0.7198	0.2802
Gender	1.34	1.16	0.7446	0.2554

Multicollinearity	VIF	SQRT VIF	Tolerance	R-squared
Abstract	2.18	1.48	0.4592	0.5408
Manual	1.89	1.37	0.5292	0.4708
Sector	4.35	2.08	0.2301	0.7699
Formality	5.37	2.32	0.1863	0.8137
Activity	1.38	1.18	0.723	0.277
Education	3.38	1.84	0.2958	0.7042
Age	1.39	1.18	0.7198	0.2802
Gender	1.34	1.16	0.7446	0.2554

Note(s): Significance levels are: ***, **, and * refer to being statistically significant at 1%, 5%, and 10%, respectively. The terms “_hat” and “_hatsq” in the link test regression refer to the linear predicted value and its squared term obtained from the estimated logistic regression (Model 7), respectively

Source(s): Authors’ estimation

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