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Table 3 Names, definitions, and descriptive statistics of meta-independent variables

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

Variable name

Definition

Descriptive statistics

Mean

Median

S.D.

Rural region

1 = if the target region is a rural region, 0 = otherwise

0.092

0

0.289

Region unspecified

1 = if the target region is unspecified, 0 = otherwise

0.284

0

0.451

Public sector

1 = if the sample is limited to workers of state-owned enterprises, 0 = otherwise

0.016

0

0.127

Private sector

1 = if the sample is limited to workers of privately owned enterprises, 0 = otherwise

0.023

0

0.150

Average estimation year

Average estimation year

2005.161

2006

7.008

Urban residents

1 = if the sample is limited to workers who are urban residents, 0 = otherwise

0.103

0

0.304

Migrants

1 = if the sample is limited to workers who are migrants, 0 = otherwise

0.192

0

0.394

Low-percentile group

1 = if the observation is limited to the 30th percentile of the wage level or less, 0 = otherwise

0.068

0

0.252

Middle-percentile group

1 = if the observation is limited to the 30–75th percentile of the wage level, 0 = otherwise

0.063

0

0.242

High-percentile group

1 = if the observation is limited to the 75th percentile of the wage level or more, 0 = otherwise

0.049

0

0.216

CHNS

1 = if the survey results of China’s Health and Nutrition Survey (CHNS) are used as the data source, 0 = otherwise

0.119

0

0.324

CGSS

1 = if the survey results of the Chinese General Social Survey (CGSS) are used as the data source, 0 = otherwise

0.092

0

0.290

Other household survey

1 = if the results of a household survey other than CHIP, CHNS, or CGSS are used as the data source, 0 = otherwise

0.279

0

0.449

Enterprise survey

1 = if the results of an enterprise survey are used as the data source, 0 = otherwise

0.063

0

0.243

Panel survey

1 = if the results of a panel survey are used as the data source, 0 = otherwise

0.030

0

0.170

Regular wage

1 = if regular wage is employed for empirical analysis, 0 = otherwise

0.707

1

0.455

Monthly

1 = if monthly wage is employed for empirical analysis, 0 = otherwise

0.340

0

0.474

Daily

1 = if daily wage is employed for empirical analysis, 0 = otherwise

0.018

0

0.134

Hourly

1 = if hourly wage is employed for empirical analysis, 0 = otherwise

0.408

0

0.492

Logarithm value

1 = if a logarithm value of wage is used as the dependent variable, 0 = otherwise

0.865

1

0.342

OLS

1 = if an OLS estimator is used for estimation, 0 = otherwise

0.782

1

0.413

IV/2SLS/3SLS

1 = if an IV, 2SLS, or 3SLS estimator is used for estimation, 0 = otherwise

0.057

0

0.232

Control for selection bias

1 = if the selection bias due to endogeneous labor participation is controlled for, 0 = otherwise

0.069

0

0.254

Occupation

1 = if the estimation simultaneously controls for occupation, 0 = otherwise

0.307

0

0.461

Age/age group

1 = if the estimation simultaneously controls for age or age group, 0 = otherwise

0.247

0

0.431

Work experience/tenure

1 = if the estimation simultaneously controls for work experience and/or tenure, 0 = otherwise

0.715

1

0.451

Health condition

1 = if the estimation simultaneously controls for the health condition of workers, 0 = otherwise

0.126

0

0.332

Firm size

1 = if the estimation simultaneously controls for the size of firms to which workers belong, 0 = otherwise

0.096

0

0.295

Trade union

1 = if the estimation simultaneously controls for trade unions, 0 = otherwise

0.044

0

0.206

Location fixed effects

1 = if the estimation simultaneously controls for location fixed effects, 0 = otherwise

0.513

1

0.500

Industry fixed effects

1 = if the estimation simultaneously controls for industry fixed effects, 0 = otherwise

0.439

0

0.496

With an interaction term(s)

1 = if the estimation is conducted with an interaction term(s), 0 = otherwise

0.011

0

0.104

S.E.

Standard error of patial correlation coefficient

0.024

0.019

0.020