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 level | Variable | Coefficient | Contribution | Robust standard error | value | value |
| Wage | Females’ wage | 33797.56 | — | 939.17 | 35.99 | | Males’ wage | 54896.29 | — | 1227.24 | 44.73 | | Total wage gap | -21098.72 | 100.00% | 1545.36 | -13.65 | | Characteristic gap | -3392.07 | 16.08% | 1382.45 | -2.45 | 0.01 | Coefficient gap | -17706.65 | 83.92% | 1117.37 | -15.85 | |
| Characteristic gap | Iu | 243.19 | -1.15% | 124.26 | 1.96 | 0.05 | nawe | -1561.29 | 7.40% | 269.97 | -5.78 | | yoe | -740.36 | 3.51% | 247.19 | -3.00 | | Age | -363.10 | 1.72% | 214.83 | -1.69 | 0.09 | hrs | 100.04 | -0.47% | 81.65 | 1.23 | 0.22 | ms | 689.13 | -3.27% | 187.47 | 3.68 | | myoe | 20.05 | -0.10% | 48.98 | 0.41 | 0.68 | ahi | -1779.74 | 8.44% | 1186.51 | -1.50 | 0.13 | Total | -3392.07 | 16.08% | 1382.45 | -2.45 | 0.01 |
| Coefficient gap | Iu | -5887.14 | 27.90% | 2267.37 | -2.60 | 0.01 | nawe | 1676.22 | -7.94% | 872.25 | 1.92 | 0.06 | yoe | -2527.12 | 11.98% | 3992.55 | -0.63 | 0.53 | Age | 2760.29 | -13.08% | 5193.14 | 0.53 | 0.60 | hrs | -4045.17 | 19.17% | 1505.72 | -2.69 | 0.01 | ms | -10767.87 | 51.04% | 2563.89 | -4.20 | | myoe | 284.97 | -1.35% | 1504.95 | 0.19 | 0.85 | ahi | -13753.92 | 65.19% | 2992.30 | -4.60 | | Constant | 14553.08 | -68.98% | 8235.13 | 1.77 | 0.08 | Total | -17706.65 | 83.92% | 1117.37 | -15.85 | |
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