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Table 1 Results of Different Estimation Methods: Based on Population Census in 2005

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 −0.0937***
(0.0098)
− 0.125***
(0.0106)
0.0548***
(0.0110)
Female *age
[15,25)
0.0629***
(0.0135)
0.0690***
(0.0149)
−0.148***
(0.0161)
Female *age
[25,35)
−0.0395***
(0.0119)
− 0.0300**
(0.0131)
− 0.199***
(0.0138)
Female *age
[35,45)
−0.0498***
(0.0115)
− 0.0484***
(0.0127)
− 0.119***
(0.0132)
Female *age
[45,50)
− 0.00956
(0.0139)
− 0.00845
(0.0151)
− 0.0191
(0.0158)
Female *age
[55,60)
− 0.0810***
(0.0151)
− 0.130***
(0.0163)
− 0.121***
(0.0169)
Female *age
[60,65)
− 0.196***
(0.0166)
− 0.269***
(0.0179)
− 0.250***
(0.0186)
Female *age
[65,70)
− 0.239***
(0.0175)
− 0.320***
(0.0188)
− 0.249***
(0.0197)
Female *age
[70,75)
− 0.288***
(0.0189)
− 0.384***
(0.0203)
− 0.277***
(0.0211)
Female *age
[75,80)
− 0.358***
(0.0227)
− 0.472***
(0.0241)
−0.344***
(0.0253)
Female *age
[80 +1, 00)
−0.426***
(0.0253)
−0.531***
(0.0270)
− 0.426***
(0.0284)
X No No YES
City No YES YES
Observations 1,904,763 1,904,763 1,903,627
  1. Notes: 1) The control age group is [50, 55)
  2. 2) The control variable X includes registered permanent residence, marital status, educational level, nationality, and so on. City represents fixed effects after controlling for cities
  3. 3) ***, **, * indicate statistical significance at the 1, 5, and 10% levels, respectively. The numbers in parentheses are standard errors of robust SE