Skip to main content

Table 4 Robustness test

From: Can public hospital reform reduce medical resource mismatches? Evidence from China

Variables

PSM-DD

Bacon

Mismatch_new

Year < = 2017

(1)

(2)

(3)

(4)

PHR

-0.174***

-0.104***

-0.143***

0.160***

 

(0.0155)

(0.0187)

(0.0299)

(0.0268)

City FE

Y

N

Y

Y

Year FE

Y

Y

Y

Y

Controls

Y

Y

Y

Y

Robust

N

Y

Y

Y

Observations

3600

3600

3600

3600

R-squared

0.0010

N

0.0488

0.0691

  1. *** p < 0.01, ** p < 0.05, * p < 0.1; City FE stands for city fixed effects to control for the effect of heterogeneity across cities; Year FE stands for year fixed effects to control for the effect of heterogeneity across years; Controls stands for a set of control variables; Robust stands for the use of robust standard errors to control for the effect of heteroskedasticity in the error term
Back to article page

Health Economics Review

ISSN: 2191-1991

Contact us