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Table 3 Cross-level interactions between household wealth and macro-level factors in their effect on impairment outcomes

From: Wealth inequalities in physical and cognitive impairments across Japan and Europe: the role of health expenditure and infrastructure

Macro-level factor

Health spending Coef.(S.E.)

OOP payments Coef.(S.E.)

No. of doctors Coef.(S.E.)

No. of hospital beds Coef.(S.E.)

Panel A: Physical impairments

(1)

(2)

(3)

(4)

Wealth

-0.027***(0.002)

-0.026***(0.002)

-0.030***(0.002)

-0.028***(0.002)

Macro-level factor

-2.173***(0.557)

0.019**(0.006)

-0.226**(0.088)

0.038*(0.017)

Wealth × Macro-level factor

0.099**(0.019)

-0.001***(0.000)

-0.008*(0.004)

0.002***(0.000)

Intraclass correlation

0.016***(0.004)

0.020**(0.006)

0.016*(0.006)

0.019**(0.007)

Model fit (AIC)

103,610

104,662

93,755

104,603

N

31,696

31,696

31,696

31,696

Panel B: Cognitive impairments

 Wealth

-0.049***(0.004)

-0.049***(0.004)

-0.059***(0.004)

-0.050***(0.004)

 Macro-level factor

-5.189(2.467)

0.041(0.028)

-0.623(0.402)

-0.088(0.077)

 Wealth × Macro-level factor

0.035(0.050)

0.001(0.001)

0.012(0.009)

0.003**(0.001)

 Intraclass correlation

0.055**(0.019)

0.058***(0.019)

0.063**(0.021)

0.066**(0.022)

 Model fit (AIC)

158,210

159,665

143,507

159,660

 N

31,348

31,348

31,348

31,348

  1. All the models control for age-sex interactions and education; Coef. and S.E. denote coefficients and standard errors. The term “Macro-level factor” in the interaction term “Wealth × Macro-level factor” refers to each column in the first row when it crosses
  2. *p < 0.05; **p < 0.01; ***p < 0.001