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Table 5 Instrumental variables regression results

From: The effect of health insurance reimbursement rates on middle-aged and elderly people’s hospital choices: evidence from China

Variables

Instrumental variables

Bartik

Finance

Bias

(1)

(2)

(3)

Rate

0.3878***

(0.0210)

0.9294***

(0.3026)

0.9376***

(0.1093)

Age

-0.0030***

(0.0011)

-0.0129**

(0.0057)

-0.0129***

(0.0026)

Male

0.0339*

(0.0184)

-0.0008

(0.0311)

-0.0352

(0.0291)

Education

0.0122***

(0.0024)

0.0035

(0.0058)

0.0041

(0.0040)

Urban

0.1310***

(0.0200)

0.0116

(0.0712)

0.0038

(0.0387)

Health

0.0093

(0.0097)

-0.0282

(0.0247)

-0.0291

(0.0189)

Disease

0.0178

(0.0201)

0.0126

(0.0270)

0.0170

(0.0290)

Income

0.0033

(0.0035)

-0.0032

(0.0058)

-0.0003

(0.0055)

Living

0.0627***

(0.0173)

0.0522**

(0.0236)

0.0298

(0.0262)

Province

Yes

Yes

Yes

Year

Yes

Yes

Yes

Observations

9344

9344

7306

  1. 1) Heteroskedasticity-Robust Standard Errors are reported in parentheses; 2) ***, **, * refer to 1%, 5%, and 10% statistical significance levels, respectively