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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