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

From: Gender wage gap in European emerging markets: a meta-analytic perspective

Study type

Number of estimates

(K)

Mean

Median

S.D

Max

Min

Kurtosis

Skewness

t- testa

Shapiro–Wilk normality test

(z)b

All studies

By EU membership status

670

− 0.173

− 0.165

0.115

0.055

− 0.570

2.708

− 0.332

− 38.893***

4.371†††

 2004 member

265

− 0.186

− 0.179

0.117

0.007

− 0.445

2.076

− 0.193

− 25.879***

4.185†††

 2007 and 2013 member

85

− 0.147

− 0.132

0.122

0.024

− 0.390

1.893

− 0.245

− 11.153***

2.846†††

 Membership candidate

19

− 0.009

0.033

0.086

0.054

− 0.183

2.882

− 1.278

− 0.450

4.108†††

 Nonmember

     By period

301

− 0.179

− 0.165

0.104

0.055

− 0.570

3.902

− 0.745

− 29.884***

4.646†††

 1995 or before

163

− 0.233

− 0.227

0.117

0.024

− 0.445

2.197

0.240

− 25.284***

2.562†††

 1996–2005

300

− 0.181

− 0.176

0.103

0.055

− 0.570

3.448

− 0.295

− 30.586***

2.666†††

 2006 or later

207

− 0.114

− 0.102

0.102

0.054

− 0.517

4.478

− 0.989

− 16.009***

4.961†††

  1. This table shows the number of estimates of the gender dummy variable in the Mincer-type wage function estimated in 53 research works listed in Additional file 1: Table S1 and Additional file 2: Bibliography of studies subject to meta-analysis
  2. Descriptive statistics of the estimates and the results of t-test and Shapiro-Wilk normality test are also reported for all studies and by EU membership status and estimation period
  3. a***: Null hypothesis that the mean is zero is rejected at the 1% level
  4. b†††: Null hypothesis of normal distribution is rejected at the 1% level