Research Article

Has Internet Usage Really Narrowed the Gender Wage Gap?: Evidence from Chinese General Social Survey Data

Table 5

The decomposition results of the gender wage gap on the condition of the mean wage level.

The mean wage levelVariableCoefficientContributionRobust standard error value value

WageFemales’ wage33797.56939.1735.99
Males’ wage54896.291227.2444.73
Total wage gap-21098.72100.00%1545.36-13.65
Characteristic gap-3392.0716.08%1382.45-2.450.01
Coefficient gap-17706.6583.92%1117.37-15.85

Characteristic gapIu243.19-1.15%124.261.960.05
nawe-1561.297.40%269.97-5.78
yoe-740.363.51%247.19-3.00
Age-363.101.72%214.83-1.690.09
hrs100.04-0.47%81.651.230.22
ms689.13-3.27%187.473.68
myoe20.05-0.10%48.980.410.68
ahi-1779.748.44%1186.51-1.500.13
Total-3392.0716.08%1382.45-2.450.01

Coefficient gapIu-5887.1427.90%2267.37-2.600.01
nawe1676.22-7.94%872.251.920.06
yoe-2527.1211.98%3992.55-0.630.53
Age2760.29-13.08%5193.140.530.60
hrs-4045.1719.17%1505.72-2.690.01
ms-10767.8751.04%2563.89-4.20
myoe284.97-1.35%1504.950.190.85
ahi-13753.9265.19%2992.30-4.60
Constant14553.08-68.98%8235.131.770.08
Total-17706.6583.92%1117.37-15.85

Note: represents , represents , and represents .