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Table 5 Logit regression results of the geographical disparity of the medical insurance system for the utilization of health services by the floating elderly population

From: Institutional differences and geographical disparity: the impact of medical insurance on the equity of health services utilization by the floating elderly population - evidence from China

Variables

(1)

(2)

(3)

 

the Average Marginal Effect

 

the Average Marginal Effect

 

the Average Marginal Effect

Medical insurance

(in residence places)

0.316***

0.0743***

    
  

(0.104)

(0.0243)

    

BMISURR

(in residence places)

  

0.208*

0.0480*

  
   

(0.119)

(0.0275)

  

BMISUE

(in residence places)

    

0.438*

0.103*

     

(0.234)

(0.0544)

 

No medical insurance

0.133

0.0313

    
 

(0.0860)

(0.0202)

    
 

Gender

−0.101

−0.0237

−0.177*

−0.0410*

− 0.0140

−0.00328

 

(0.0678)

(0.0159)

(0.0915)

(0.0211)

(0.136)

(0.0318)

 

Age

0.00741

0.00174

0.0101

0.00234

0.0153

0.00358

 

(0.00602)

(0.00141)

(0.00848)

(0.00196)

(0.0110)

(0.00257)

 

Ethnicity

−0.0645

− 0.0152

− 0.307**

− 0.0709**

− 0.277

− 0.0650

 

(0.109)

(0.0256)

(0.143)

(0.0329)

(0.236)

(0.0551)

Household registration type (Hukou)

Rural hukou

0.0530

0.0125

−0.0667

− 0.0154

− 0.0203

− 0.00476

 

(0.0872)

(0.0205)

(0.120)

(0.0277)

(0.224)

(0.0526)

Rural to resident hukou

−0.0204

− 0.00479

− 0.441

− 0.102

1.453*

0.340*

 

(0.286)

(0.0674)

(0.378)

(0.0873)

(0.821)

(0.191)

Nonrural to resident hukou

0.310

0.0730

  

0.417

0.0977

 

(0.387)

(0.0910)

  

(0.420)

(0.0981)

Marital Status

Single

−0.226

−0.0531

0.0857

0.0198

  
 

(0.340)

(0.0799)

(0.412)

(0.0952)

  

Married

−0.185**

−0.0434**

−0.105

− 0.0243

−0.411**

− 0.0964**

 

(0.0826)

(0.0194)

(0.109)

(0.0251)

(0.190)

(0.0441)

 

Education level

0.0692**

0.0163**

0.0696

0.0161

0.0539

0.0126

 

(0.0337)

(0.00791)

(0.0510)

(0.0118)

(0.0567)

(0.0132)

Range of Migration

Interprovince

0.314***

0.0738***

0.264**

0.0610**

0.308*

0.0721*

 

(0.0813)

(0.0190)

(0.104)

(0.0239)

(0.165)

(0.0383)

Intercity

0.0345

0.00813

−0.0257

− 0.00593

− 0.0677

− 0.0159

 

(0.0828)

(0.0195)

(0.106)

(0.0245)

(0.163)

(0.0383)

 

Monthly household income

2.26e-05***

5.31e-06***

3.68e-05***

8.50e-06***

5.46e-06

1.28e-06

 

(7.27e-06)

(1.70e-06)

(8.36e-06)

(1.91e-06)

(1.06e-05)

(2.49e-06)

Main Source of Income

Income from employment

−0.257***

− 0.0605***

− 0.179

− 0.0414

− 0.340

−0.0796

 

(0.0960)

(0.0225)

(0.113)

(0.0262)

(0.743)

(0.174)

Pension/savings

0.0687

0.0162

0.0499

0.0115

0.196

0.0459

 

(0.0986)

(0.0232)

(0.124)

(0.0287)

(0.657)

(0.154)

Other

−0.0642

−0.0151

0.0361

0.00833

  
 

(0.162)

(0.0382)

(0.190)

(0.0440)

  
 

No. of friends of residence

0.00366

0.000862

0.00386

0.000891

0.00289

0.000678

 

(0.00286)

(0.000674)

(0.00409)

(0.000945)

(0.00457)

(0.00107)

 

Daily exercise time

−0.000886

−0.000209

0.000795

0.000184

−0.00404***

− 0.000946***

 

(0.000724)

(0.000170)

(0.000956)

(0.000221)

(0.00143)

(0.000330)

 

Physical examination

0.207***

0.0487***

0.252***

0.0583***

−0.0940

−0.0220

  

(0.0661)

(0.0155)

(0.0877)

(0.0201)

(0.131)

(0.0307)

 

Self-rated health

0.0666

0.0157

0.00942

0.00218

0.0374

0.00875

  

(0.0497)

(0.0117)

(0.0641)

(0.0148)

(0.104)

(0.0243)

 

Province of residence

0.0126***

0.00297***

0.0122***

0.00283***

0.0162***

0.00380***

 

(0.00185)

(0.000428)

(0.00245)

(0.000555)

(0.00371)

(0.000838)

 

Constant

−1.742***

−1.742***

−1.562**

−1.562**

−1.554

−1.554

  

(0.519)

(0.519)

(0.714)

(0.714)

(1.175)

(1.175)

 

Observations

4481

 

2631

 

1109

 
 

Pseudo-R2

0.0262

 

0.0319

 

0.0352

 
  1. 1). Column (1) divides medical insurance into three categories: “medical insurance (in residence places),” “medical insurance (in non-residence places)” and “No medical insurance,” and “medical insurance (in non-residence places)” is the baseline variable. Clumn (2) divides BMISURR into two categories: “BMISURR (in residence places)” and “BMISURR (in non-residence places)”, and “BMISURR (in non-residence places)” is the baseline variable. Column (3) divides BMISUE into two categories: “BMISUE (in residence places)” and “BMISUE (in non-residence places)”, and “BMISUE (in non-residence places)” is the baseline variable. 2), The baseline variable for household registration type, marital status, flow range, the main economic are “Nonrural hukou,” “divorce or widowed,” “intercity”, “other members of the family”, respectively. 3),The robust standard errors are reported in parentheses. 4), *** p < 0.01, ** p < 0.05, * p < 0.1