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

Table 9

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

The higher wage level	Variable	Coefficient	Contribution	Robust standard error	value	value
Wage	Females’ wage	52868.35	—	1300.12	40.66
	Males’ wage	74244.91	—	2019.85	36.76
	Total wage gap	-21376.57	100.00%	2402.10	-8.90
	Characteristic gap	-5999.88	28.07%	1984.49	-3.02
	Coefficient gap	-15376.69	71.93%	2091.72	-7.35
Characteristic gap	Iu	393.87	-1.84%	213.33	1.85	0.07
	Control variables	Controlled	Controlled	Controlled	Controlled	Controlled
	Total	-5999.88	28.07%	1984.49	-3.02
Coefficient gap	Iu	-8849.64	41.40%	4387.08	-2.02	0.04
	Control variables	Controlled	Controlled	Controlled	Controlled	Controlled
	Total	-15376.69	71.93%	2091.72	-7.35

Note: represents , represents , and represents .