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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