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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