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Table 4 Determinants of unmet need

From: Universal health coverage in the context of population ageing: catastrophic health expenditure and unmet need for healthcare

 

All

Age < 64

65 ≤ Age

Age

0.18**

0.17**

 
 

(0.01)

(0.02)

 

Age2

-0.00**

-0.00

-0.00

 

(0.00)

(0.00)

(0.00)

Age3

0.00**

0.00

0.00

 

(0.00)

(0.00)

(0.00)

Marital status (Single)

0.01

0.01

0.01

 

(0.01)

(0.02)

(0.02)

Employed

0.01#

0.02*

0.01

 

(0.01)

(0.01)

(0.01)

House ownership

-0.01

0.00

-0.05#

 

(0.01)

(0.01)

(0.03)

Household size

-0.00

-0.00

-0.01

 

(0.01)

(0.01)

(0.02)

Income

0.00

0.00

0.00

 

(0.00)

(0.00)

(0.00)

Savings

-0.00**

-0.00**

-0.00#

 

(0.00)

(0.00)

(0.00)

SRH (Bad or very bad)

-0.01*

-0.01*

-0.00

 

(0.01)

(0.01)

(0.01)

Current smoker

0.03*

0.02#

0.06*

 

(0.01)

(0.01)

(0.02)

Current alcohol consumption

0.00

0.01

0.01

 

(0.01)

(0.01)

(0.01)

Days of exercise per week

0.00

0.00

0.00

 

(0.00)

(0.00)

(0.00)

Individual-FE

Yes

Yes

Yes

City-by-Year-FE

Yes

Yes

Yes

Constant

-8.19**

-7.07**

3.84

 

(0.40)

(0.38)

(10.44)

Observations

34,782

25,953

9,757

Individuals

5,546

4,419

1,821

  1. Note: Estimates by fixed-effects linear probability models; ** p < 0.01, * p < 0.05, # p < 0.10; Values are coefficients with cluster-robust standard errors in parentheses; FE represents fixed-effects; Income and savings are equivalised by household size and transformed by the inverse hyperbolic sine transformation; Household size represents the log-transformed number of household members; Weighted by longitudinal weights to address for attrition bias; singleton observations are not used for estimations.