The Influence of Internet Usage on Gender Division of Labour Bias: Evidence from Chinese General Social Survey Data

Table 3

Balance test of covariates.

Variables	Matching state	Mean		Bias (%)	Reducted; |bias| (%)	value
		Treated	Control
Gender	Unmatched	0.490	0.518	-5.7	71.6	-3.69
	Matched	0.490	0.498	-1.6		-0.91
Age	Unmatched	3.604	3.954	-110.5	93.4	-73.62
	Matched	3.604	3.581	7.2		3.79
Age^2	Unmatched	13.101	15.719	-111.3	94.1	-73.46
	Matched	13.101	12.946	6.6		3.58
YoE	Unmatched	2.462	1.774	105.3	89.8	62.77
	Matched	2.462	2.392	10.8		11.05
Ethnicity	Unmatched	0.939	0.911	10.5	81.9	6.66
	Matched	0.939	0.934	1.9		1.17
PS	Unmatched	0.169	0.102	19.8	93.6	13.35
	Matched	0.169	0.165	1.3		0.66
RB	Unmatched	0.915	0.878	12.2	74.7	7.77
	Matched	0.915	0.905	3.1		1.88
HS	Unmatched	1.344	1.140	59.1	95.8	36.60
	Matched	1.344	1.353	-2.5		-1.74
MS	Unmatched	0.750	0.837	-21.6	88.0	-14.43
	Matched	0.750	0.761	-2.6		-1.38
HRS	Unmatched	0.355	0.626	-56.4	91.2	-36.70
	Matched	0.355	0.331	5.0		2.89
LI	Unmatched	8.223	5.791	54.6	88.0	35.50
	Matched	8.223	7.932	6.5		3.98
MYoE	Unmatched	1.463	0.465	109.0	99.4	73.08
	Matched	1.463	1.469	-0.6		-0.34
FES	Unmatched	0.973	0.860	34.8	99.5	22.12
	Matched	0.973	0.973	0.2		0.12

Note: represents ; represents ; represents . Numbers in parentheses are standard errors.