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Table 2 Impact of gender role attitudes on labor income

From: Gender role attitudes and male-female income differences in China

Variables Full sample Female subsample
M1 M2 M3 M4-OLS M5-Heckman M6-IV
Female − .394*** − .399*** − .170**    
Gender role attitudes   − .028* .007 − .075*** − .076*** − .162**
Female × gender role attitudes    − .083***    
Senior high school .174*** .170*** .168*** .212*** .217*** .192***
College or higher .392*** .389*** .385*** .437*** .451*** .418***
Good health .307*** .309*** .304*** .367*** .375*** .363***
Age .075*** .076*** .077*** .073*** .078*** .075***
Age square/10 − .010*** − .010*** − .011*** − .010*** − .010*** − .010***
Working hours per week .003*** .003*** .003*** .004*** .004*** .004***
ISEI .009*** .009*** .009*** .010*** .010*** .009***
Married .175*** .177*** .175*** .028 .017 .032
Divorced/widowed .145** .142** .141** .100 .098 .093
CPC member .062* .060* .061* .027 .031 .018
Rural household registration − .004 − .001 .001 − .027 − .027 − .011
Heckman λ      .056  
Hausman test       1.88
N 4218 4218 4218 1666 2464 1666
  1. The omitted reference category for education level is junior high school or lower and that for marital status is unmarried. Dummy variables of the provincial level are controlled in all models. Standard errors are clustered by township (subdistrict)
  2. ***p < 0.01, **p < 0.05, and *p < 0.1 (two-tailed test)