Gender wage gap in China: a large meta-analysis

Journal for Labour Market Research

Table 1 Descriptive statistics of the partial correlation coefficients, t test and Shapiro–Wilk normality test of collected estimates

	K	Mean	Median	S.D	Max	Min	Kurtosis	Skewness	t test	Shapiro–Wilk normality test (z)
All studies (Hypothesis H₁)	1472	− 0.123	− 0.115	0.094	0.392	− 0.826	10.193	− 0.543	− 50.160^***	10.717^†††
Target region (Hypothesis H₂)
Urban region	919	− 0.114	− 0.108	0.084	0.392	− 0.589	9.292	0.348	− 40.962^***	9.116^†††
Rural region	135	− 0.184	− 0.169	0.124	− 0.014	− 0.826	8.887	− 1.798	− 17.247^***	5.918^†††
Region unspecified	418	− 0.124	− 0.115	0.097	0.271	− 0.739	8.325	− 0.452	− 26.209^***	6.800^†††
Target corporate sector (Hypothesis H₃)
Public sector	24	− 0.095	− 0.086	0.053	0.047	− 0.195	3.512	0.303	− 8.771^***	0.770
Private sector	34	− 0.125	− 0.117	0.086	0.088	− 0.408	5.661	− 0.418	− 8.415^***	1.967^††
Corporate sector unspecified	1414	− 0.123	− 0.116	0.095	0.392	− 0.826	10.199	− 0.536	− 48.978^***	10.634^†††
Target period (Hypothesis H₄)
1990s or before	315	− 0.110	− 0.097	0.083	0.088	− 0.671	10.421	− 1.844	− 23.484^***	7.849^†††
2000s	689	− 0.112	− 0.107	0.086	0.392	− 0.826	20.610	− 1.006	− 34.162^***	10.868^†††
2010s	468	− 0.148	− 0.153	0.107	0.271	− 0.561	4.507	0.457	− 29.941^***	5.420^†††

***Denotes that null hypothesis that mean is zero is rejected at the 1% level
††† and †† denote that null hypothesis of normal distribution is rejected at the 1 and 5% levels, respectively