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Table 2 Results of Different Estimation Methods: Based on Population Census in 2015

From: Gender differences in health insurance coverage in China

Dependent Variable: Covered by the Urban Employee Basic Medical Insurance (UEBMI) or Not

 

(1) Primary School Graduates and below

(2) Junior Middle School Graduates

(3) Senior Middle School Graduates

(4) University Graduates and above

Female

−0.0241

(0.0170)

0.195***

(0.0191)

0.229***

(0.0340)

0.211***

(0.0758)

Female *age

[15,25)

−0.0506

(0.0337)

− 0.282***

(0.0239)

− 0.375***

(0.0425)

− 0.219***

(0.0842)

Female *age

[25,35)

− 0.0156

(0.0263)

−0.343***

(0.0224)

− 0.548***

(0.0384)

− 0.323***

(0.0792)

Female *age

[35,45)

0.0592***

(0.0230)

−0.304***

(0.0218)

− 0.373***

(0.0376)

− 0.183**

(0.0814)

Female *age

[45,50)

0.0753***

(0.0271)

−0.223***

(0.0267)

− 0.168***

(0.0410)

− 0.169*

(0.0992)

Female *age

[55,60)

− 0.0753***

(0.0246)

− 0.130***

(0.0325)

0.0693

(0.0612)

− 0.134

(0.123)

Female *age

[60,65)

− 0.152***

(0.0262)

− 0.418***

(0.0391)

− 0.202***

(0.0670)

− 0.167

(0.133)

Female *age

[65,70)

− 0.176***

(0.0263)

− 0.295***

(0.0515)

− 0.134

(0.0826)

− 0.197

(0.133)

Female *age

[70,75)

− 0.182***

(0.0272)

− 0.283***

(0.0708)

−0.186

(0.125)

− 0.255

(0.174)

Female *age

[75,80)

−0.285***

(0.0312)

− 0.180

(0.111)

−0.573***

(0.170)

0.395

(0.295)

Female *age

[80 +, 100)

−0.380***

(0.0339)

−0.847***

(0.136)

− 0.675***

(0.210)

−0.271

(0.335)

X

YES

YES

YES

YES

County

YES

YES

YES

YES

Observations

771,963

755,007

248,055

128,602

  1. Notes: 1) The control age group is [50, 55)
  2. 2) The control variable X and fixed effects of cities have been added to all analyses
  3. 3) ***, **, * indicate statistical significance at the 1, 5, and 10% levels, respectively. The numbers in parentheses are standard errors of robust SE