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Table 3 Gender Gap in Health Insurance Coverage: Based on Population Census in 2015

From: Gender differences in health insurance coverage in China

Urban Employee Basic Medical Insurance (UEBMI)

(Dependent Variable: Covered by UEBMI or Not)

 

(1)

(2)

(3)

Female

−0.177***

(0.0226)

− 0.258***

(0.0241)

0.240***

(0.0270)

Female *age

[15,25)

0.526***

(0.0344)

0.558***

(0.0366)

−0.0568

(0.0401)

Female *age

[25,35)

0.238***

(0.0269)

0.255***

(0.0289)

−0.232***

(0.0328)

Female *age

[35,45)

0.0418

(0.0264)

0.0716**

(0.0282)

−0.244***

(0.0319)

Female *age

[45,50)

−0.0382

(0.0294)

0.00757

(0.0314)

−0.229***

(0.0350)

Female *age

[50,55)

0.0610**

(0.0306)

0.104***

(0.0327)

−0.0182

(0.0365)

Female *age

[55,60)

0.179***

(0.0335)

0.202***

(0.0358)

0.165***

(0.0405)

Female *age

[65,70)

−0.190***

(0.0349)

−0.211***

(0.0372)

− 0.221***

(0.0416)

Female *age

[70,75)

−0.371***

(0.0389)

− 0.386***

(0.0412)

−0.386***

(0.0472)

Female *age

[75,80)

−0.373***

(0.0436)

−0.411***

(0.0460)

− 0.294***

(0.0543)

Female *age

[80 +, 100)

−0.707***

(0.0464)

− 0.693***

(0.0491)

−0.454***

(0.0572)

X

No

YES

YES

County

No

No

YES

Observations

838,544

838,544

838,544

  1. Notes: 1) The control age group is [60, 65)
  2. 2) The control variable X includes registered permanent residence, marital status, educational level, nationality, and so on. County represents fixed effects after controlling for counties
  3. 3) ***, **, * indicate statistical significance at the 1, 5, and 10% levels, respectively. The numbers in parentheses are standard errors of robust SE