Skip to main content

Table 6 Heterogeneity analysis of the impact of Internet use on life satisfaction

From: Internet use and life satisfaction among empty nesters in rural areas of Yangzhou: based on propensity score matching and mediating effect model

Variables

By age

 
 

Model 5 Age = 60–65

Model 6 Age = 66–70

Model 7 Age = Above 70

 

Internet

0.929**

0.607**

-0.181

 
 

(0.508)

(0.263)

(0.549)

 

Control variables

Yes

Yes

Yes

 

N

357

557

263

 

R2

0.245

0.100

0.246

 

Variables

By gender

By profession

 

Model 8 Male

Model 9 Female

Model 10 No

Model 11 Yes

Internet

0.649**

0.341

0.560**

0.347

 

(0.284)

(0.288)

(0.232)

(0.412)

Control variables

Yes

Yes

Yes

Yes

N

515

662

906

271

R2

0.140

0.164

0.134

0.193

Variables

By income

By chronic condition

 

Model 12 No

Model 13 Yes

Model 14 No

Model 15 Yes

Internet

0.438*

0.752*

0.538**

0.676

 

(0.229)

(0.428)

(0.247)

(0.349)

Control variables

Yes

Yes

Yes

Yes

N

227

950

470

707

R2

0.119

0.201

0.137

0.160

  1. Note: * P < 0.10, ** P < 0.05, *** P < 0.01; standard errors are reported in parentheses