Effect of occupational mobility and health status on life satisfaction of Chinese residents of different occupations: logistic diagonal mobility models analysis of cross-sectional data on eight Chinese provinces

Table 4 Logistic DDMs on the relationship between occupational mobility and life satisfaction

Variable	Model 1		Model 2		Model 3
	Standard model		Total model		Screening Model
	Coefficients	Standard deviation	Coefficients	Standard deviation	Coefficients	Standard deviation
Origin effect	0.5180	1.1867	0.7410	1.1865	0.6256	1.1854
Intercept	−2.4393	0.8735^***	−1.2902	0.7899	−1.5637	0.8083^*
Hukou (Rural = 0)	−0.2672	0.1563**	−0.2681	0.1562*	−0.2244	0.1558
Gender (Female = 0)	−0.0891	0.1276	−0.1077	0.1276	−0.0900	0.1275
Age	0.0181	0.0096^*	0.0131	0.0096	0.0139	0.0096
Education level
Secondary school	0.1636	0.0713^**	0.1326	0.0711^*	0.1456	0.0711^**
High school	0.2476	0.0575^***	0.2291	0.0574^***	0.2361	0.0573^***
University and college	0.2146	0.0282^**	0.1601	0.0965^*	0.1855	0.0969^*
Marital status
Married	0.4003	0.3694	−0.0184	0.3263	0.0759	0.3308
Single, widow	−0.1296	0.2713	−0.4756	0.2488^*	−0.3796	0.2497
Natural logarithm	0.0024	0.0056	0.0033	0.0056	0.0024	0.0055
Health status (Health = 0)			−0.4877	0.1731^***	−0.4206	0.1720^**
Whether occupational mobility happened (Yes = 1)			−0.0895	0.0851
Direction of occupational mobility			−0.1028	0.0026^***	−0.0965	0.0019^***
Distance of mobility			0.1980	0.0103^***	0.2355	0.0114^***
AIC value	1717.2	1722.1	1719.7
BIC value	1784.0	1804.3	1796.8
Samples	1260	1260	1260

Note: ^· means the significance of 10%; * means the significance of 5%; ** means the significance of 1%; *** means the significance of 0.1%.

ISSN: 1475-9276