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Table 3 Benchmark regression results

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

Variables

Hospital

2011

2013

2015

2018

Full sample

(1)

(2)

(3)

(4)

(5)

Rate

0.4887***

(0.0659)

0.3108***

(0.0479)

0.4510***

(0.0371)

0.1503***

(0.0385)

0.3331***

(0.0217)

Age

-0.0136**

(0.0065)

-0.0008

(0.0061)

0.0088**

(0.0043)

0.0142***

(0.0045)

0.0062**

(0.0025)

Male

0.2433**

(0.1156)

0.0570

(0.1093)

0.1694**

(0.0787)

0.0312

(0.0822)

0.1196***

(0.0456)

Education

0.0507***

(0.0159)

0.0475***

(0.0151)

0.0373***

(0.0102)

0.0505***

(0.0111)

0.0460***

(0.0061)

Urban

0.4621***

(0.1185)

0.6104***

(0.1095)

0.4147***

(0.0829)

0.5113***

(0.0878)

0.4945***

(0.0477)

Health

0.0389

(0.0611)

0.0331

(0.0572)

0.1291***

(0.0403)

0.0822*

(0.0435)

0.0781***

(0.0237)

Disease

0.0482

(0.1409)

0.1345

(0.1201)

-0.1837*

(0.0162)

0.2124***

(0.0766)

0.0584

(0.0497)

Income

0.0113

(0.0201)

0.0087

(0.0194)

0.0189

(0.0162)

0.0414***

(0.0149)

0.0193**

(0.0083)

Living

0.0814

(0.1073)

0.2607***

(0.1042)

0.3113***

(0.0731)

0.0227

(0.0764)

0.1750***

(0.0425)

Province

Yes

Yes

Yes

Yes

Yes

Year

No

No

No

No

Yes

Observations

1488

1574

3219

3063

9344

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