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Table 6 The robustness test: the effects of URRBMI Coverage on family financial support

From: The impact of medical insurance on family financial support: evidence from CHARLS in China

 

Ln (Supportp-c)

Ln (Supportp-c)

Ln (Supportc-p)

Ln (Supportc-p)

(1)

(2)

(3)

(4)

URRBMI coverage

0.993*** (0.219)

0.680*** (0.200)

0.674*** (0.233)

0.535** (0.226)

Observations

15,349

15,349

15,349

15,349

R-squared

0.022

0.187

0.022

0.097

Covariates

No

Yes

No

Yes

Province fixed effects

Yes

Yes

Yes

Yes

Year fixed effects

Yes

Yes

Yes

Yes

 

Urban and rural residence

Age

Rural

Urban

Middle-aged

Elderly

Dependent variables: Ln (Supportp-c)

 URRBMI coverage

0.535** (0.257)

0.220 (0.477)

0.758*** (0.276)

0.119 (0.361)

 Observations

12,181

3,168

6,542

8,807

R-squared

0.091

0.102

0.053

0.108

 Covariates

Yes

Yes

Yes

Yes

 Province fixed effects

Yes

Yes

Yes

Yes

 Year fixed effects

Yes

Yes

Yes

Yes

Dependent variables: Ln (Supportc-p)

 URRBMI coverage

0.865*** (0.230)

0.248 (0.407)

0.297 (0.314)

0.896*** (0.255)

 Observations

12,181

3,168

6,542

8,807

R-squared

0.165

0.250

0.192

0.125

 Covariates

Yes

Yes

Yes

Yes

 Province fixed effects

Yes

Yes

Yes

Yes

 Year fixed effects

Yes

Yes

Yes

Yes

  1. *, **, and *** indicate that the coefficients significantly differ from 0 at the 10%, 5%, and 1% levels. The dependent variables are scaled by it’s logarithmic form