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Table 11 Definitions and descriptive statistics of variables

From: Union membership and the wage gap between the public and private sectors: evidence from China

 

Definitions

Mean

SD

Log of hourly wage

logarithm of the hourly wage calculated based on total wage and work hours

2.310

0.870

Union

1 = trade union member, 0 = non-member

0.095

0.293

Employment sector

   

 Public sector

1 = working in the public sector, 0 = working in the private sector

0.217

0.412

 Education

Years of schooling

10.412

4.254

 Experience

Years of experience = age-6-years of schooling

22.078

12.763

 Ethnicity

1 = Han majority, 0 = ethnic minorities

0.943

0.232

 Health

1 = health status is very good or good, 0 = otherwise

0.401

0.490

 Urban

1 = urban hukou, 0 = rural hukou

0.420

0.494

 Married

1 = having a spouse,0 = otherwise

0.771

0.420

 Party

1 = a member of Communist Party of China,0 = non-CPC member

0.111

0.314

Occupation

   

 Manager

1 = manager or technician,0 = otherwise

0.095

0.294

 Technician

1 = technician,0 = otherwise

0.131

0.337

 Clerk

1 = clerk,0 = otherwise

0.098

0.298

 Operator

1 = operator,0 = otherwise

0.383

0.486

 Other occupation

1 = other occupation,0 = otherwise

0.293

0.455

Industry

   

 Manufacturing and construction

1 = working in the manufactural or construction industry sector,0 = otherwise

0.363

0.481

 Traffic and communication

1 = working in the traffic or communication industry sector,0 = otherwise

0.066

0.249

 Sales

1 = working in the traffic or sale industry sector,0 = otherwise

0.189

0.392

 Service

1 = working in the traffic or service industry sector,0 = otherwise

0.220

0.414

 Other industry

1 = other indusrty,0 = otherwise

0.162

0.368

Year

   

 y2010

1 = 2010 survey year, 0 = otherwise

0.145

0.352

 y2012

1 = 2012 survey year, 0 = otherwise

0.154

0.361

 y2014

1 = 2014 survey year, 0 = otherwise

0.223

0.416

 y2016

1 = 2016 survey year, 0 = otherwise

0.225

0.417

 y2018

1 = 2018 survey year, 0 = otherwise

0.254

0.435

Observations

 

14,084

 
  1. The samples were limited to those aged 16–60. Due to the limited space, the descriptive statistics of province-level region dummy variables were not presented in the table, they are available upon request. Source: Calculated using data from the CFPS of 2010, 2012, 2014, 2016 and 2018