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Table 6 Summary of publication selection bias tests

From: Gender wage gap in China: a large meta-analysis

Study type

Number of estimates (K)

Test resultsa

Funnel asymmetry test (FAT) (H0: γ0 = 0)

Precision-effect test (PET) (H0: γ1 = 0)

Precision-effect estimate with standard error (PEESE) (H0: γ1 = 0)b

All studies (Hypothesis H1)

1472

Rejected

Rejected

Rejected (− 0.0885/− 0.0797)

Target region (Hypothesis H2)

 Urban region

919

Rejected

Rejected

Rejected (− 0.0838/− 0.0788)

 Rural region

135

Rejected

Rejected

Rejected (− 0.1464/− 0.1436)

 Region unspecified

418

Rejected

Rejected

Rejected (− 0.0963/− 0.0774)

Target corporate sector (Hypothesis H3)

 Public sector

24

Not rejected

Rejected

Rejected (− 0.0778/− 0.0715)

 Private sector

34

Not rejected

Rejected

Rejected (− 0.1293/− 0.1232)

 Corporate sector unspecified

1414

Rejected

Rejected

Rejected (− 0.0873/− 0.0715)

Target period (Hypothesis H4)

 1990s or before

315

Not rejected

Rejected

Rejected (− 0.0861/− 0.0706)

 2000s

689

Rejected

Rejected

Rejected (− 0.0827/− 0.0733)

 2010s

468

Not rejected

Rejected

Rejected (− 0.1349/− 0.0922)

  1. aThe null hypothesis is rejected when more than three of five models show a statistically significant estimate. Otherwise not rejected
  2. bFigures in parentheses are PSB-adjusted estimates. If two or more estimates are reported, the left and right figures denote the minimum and maximum estimates, respectively