Income gradient in health-related quality of life — the role of social networking time

Table 3 Regression results of the association of income and social networking time^a

Variables	Model 1	Model 2
Income	−0.133^***	−0.137^***
Income	(1.919)	(1.944)
Age	−0.621^***	−0.603^***
Age	(0.765)	(0.775)
Age²	0.534^***	0.528^***
Age²	(0.008)	(0.008)
Sex (male)	0.063^***	0.063^***
Sex (male)	(3.238)	(3.247)
Race (white)	0.007	0.003
Race (white)	(3.870)	(3.911)
Marital status (married)	− 0.087^***	−0.080^***
Marital status (married)	(3.567)	(3.676)
Working status (working)	0.024	0.024
Working status (working)	(10.258)	(10.262)
Place of living (urban)	0.009	0.008
Place of living (urban)	(5.170)	(5.182)
Geographical mobility (same city since age 16)		0.003
Geographical mobility (same city since age 16)		(3.346)
Number of children		−0.032
Number of children		(1.214)
Year fixed effects^b	yes	yes
N	3037	3029
R ²	0.070	0.071

^a Standardized beta coefficients; standard errors in parentheses; ^* p < 0.05, ^** p < 0.01, ^*** p < 0.001
^b The variables of GSS years were adopted only to control the effect of time, so the statistical parameters are not presented in the table (the same is true in the following tables)

ISSN: 1475-9276