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Table 2 Regression Discontinuity Estimates of the Effects of Retirement on Inpatient Healthcare Utilization

From: The impact of retirement on inpatient healthcare utilization in Guangzhou, China: a regression discontinuity analysis of 189,031 health insurance claims

 

(1)

(2)

(3)

(4)

(5)

(6)

 

Total inpatient cost

Out-of-pocket expenditures

Hospital readmission

Average length of stay

Primary hospital visit ratio

Tertiary hospital visit ratio

Panel A: Full sample

Conventional

9.75

(-55.13 - 74.63)

-28.81***

(-46.62 - -11.00)

0.03

(-0.01 - 0.06)

-0.20

(-0.86 - 0.47)

0.03***

(0.02 - 0.05)

0.02

(-0.02 - 0.06)

Robust

19.86

(-58.70 - 98.42)

-24.95**

(-46.67 - -3.22)

0.03

(-0.02 - 0.07)

-0.23

(-1.03 - 0.57)

0.03***

(0.01 - 0.05)

0.02

(-0.03 - 0.07)

Panel B: Male

Conventional

70.13

(-49.37 - 189.62)

-17.98

(-51.7 - 15.79)

-0.04

(-0.10 - 0.02)

0.13

(-0.86 - 1.13)

0.02

(-0.01 - 0.06)

0.02

(-0.02 - 0.06)

Robust

102.99

(-35.81 - 241.80)

-9.34

(-48.63 - 29.94)

-0.04

(-0.11 - 0.04)

0.22

(-0.99 - 1.42)

0.02

(-0.01 - 0.06)

0.04

(-0.02 - 0.09)

Panel C: Female

Conventional

-84.71*

(-172.03 - 2.61)

-44.59***

(-70.50 - -18.68)

0.06**

(0.00 - 0.12)

-0.85*

(-1.73 - 0.03)

0.06***

(0.02 - 0.09)

0.00

(-0.06 - 0.06)

Robust

-96.85*

(-203.38 - 9.69)

-46.68***

(-78.43 - -14.93)

0.07*

(-0.00 - 0.14)

-0.99*

(-2.03 - 0.06)

0.06***

(0.02 - 0.10)

0.00

(-0.07 - 0.07)

  1. NOTE: In each panel, entries in the first two rows are the conventional regression discontinuity estimates with 95% confidence intervals, entries in the third and fourth rows are the bias-corrected estimates with 95% confidence intervals, and entries in the fifth row are the optimal bandwidth. 95% confidence intervals are in parentheses. *** p < 0.01, ** p < 0.05, * p < 0.1