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Table 5 OLS and Quantile regressions, men

From: The distribution of the gender wage gap in Austria: evidence from matched employer-employee data and tax recordsEine Auswertung von Steuer- und Sozialversicherungsdaten zur Untersuchung der Verteilung des geschlechtsspezifischen Lohnunterschiedes in Österreich

 

OLS

10 %

25 %

50 %

75 %

90 %

Constant

1.749

1.101

1.492

1.870

2.242

2.419

(0.03)

(0.07)

(0.04)

(0.04)

(0.04)

(0.06)

Education (reference group: compulsory school)

 

 Apprenticeship

0.252

0.383

0.313

0.215

0.154

0.116

(0.01)

(0.01)

(0.01)

(0.01)

(0.01)

(0.02)

 Secondary school

0.304

0.408

0.364

0.285

0.217

0.143

(0.01)

(0.02)

(0.02)

(0.01)

(0.02)

(0.02)

 High school

0.451

0.595

0.517

0.403

0.331

0.297

(0.01)

(0.02)

(0.02)

(0.01)

(0.01)

(0.02)

 Craftsmen diploma

0.303

0.420

0.360

0.286

0.212

0.160

(0.01)

(0.03)

(0.02)

(0.02)

(0.02)

(0.02)

 Technical college

0.462

0.604

0.516

0.463

0.348

0.264

(0.02)

(0.04)

(0.03)

(0.03)

(0.03)

(0.04)

 University (Bachelor, Master, MBA)

0.614

0.701

0.659

0.594

0.545

0.512

(0.02)

(0.03)

(0.02)

(0.02)

(0.02)

(0.03)

 University (PhD)

0.672

0.733

0.732

0.637

0.629

0.576

(0.03)

(0.05)

(0.03)

(0.03)

(0.03)

(0.05)

Experience

0.049

0.058

0.052

0.045

0.038

0.032

(0.00)

(0.00)

(0.00)

(0.00)

(0.00)

(0.00)

Experience squared × 100

−0.098

−0.117

−0.106

−0.091

−0.074

−0.060

(0.00)

(0.01)

(0.00)

(0.00)

(0.00)

(0.01)

Tenure

0.009

0.013

0.007

0.004

0.004

0.005

(0.00)

(0.00)

(0.00)

(0.00)

(0.00)

(0.00)

Tenure squared × 100

0.008

−0.004

0.011

0.018

0.017

0.014

(0.00)

(0.01)

(0.01)

(0.00)

(0.00)

(0.01)

Length of interruptions

0.007

0.029

0.007

−0.007

−0.016

−0.027

(0.01)

(0.01)

(0.01)

(0.01)

(0.01)

(0.01)

Length of interruptions × 100

−0.225

−0.778

−0.211

−0.032

0.034

0.070

(0.09)

(0.15)

(0.10)

(0.10)

(0.10)

(0.13)

Married

0.050

0.038

0.054

0.039

0.041

0.049

(0.01)

(0.01)

(0.01)

(0.01)

(0.01)

(0.01)

Citizenship (reference group: others)

 

 Austria

−0.026

−0.014

−0.021

−0.015

−0.009

0.020

(0.01)

(0.02)

(0.02)

(0.01)

(0.01)

(0.02)

 EU15

0.098

0.037

0.091

0.080

0.064

0.163

(0.03)

(0.05)

(0.03)

(0.03)

(0.03)

(0.04)

Population density (reference group: high)

 

 Medium

−0.004

−0.002

0.007

−0.001

−0.010

−0.017

(0.01)

(0.02)

(0.01)

(0.01)

(0.01)

(0.01)

 Low

−0.013

−0.020

−0.015

−0.013

−0.018

−0.010

(0.01)

(0.02)

(0.01)

(0.01)

(0.01)

(0.01)

Worker status (reference group: white collar)

 

 Blue collar worker

−0.078

−0.070

−0.080

−0.096

−0.106

−0.145

(0.01)

(0.02)

(0.01)

(0.01)

(0.01)

(0.01)

 Civil servants

−0.009

0.001

−0.025

−0.006

−0.001

−0.048

(0.01)

(0.03)

(0.02)

(0.01)

(0.02)

(0.02)

 Other public sector employees

−0.110

−0.101

−0.094

−0.090

−0.128

−0.191

(0.02)

(0.03)

(0.02)

(0.02)

(0.02)

(0.03)

Executive position

0.086

0.032

0.054

0.100

0.131

0.144

(0.01)

(0.02)

(0.01)

(0.01)

(0.01)

(0.02)

Average age in the firm

0.004

0.003

0.004

0.005

0.005

0.006

(0.00)

(0.00)

(0.00)

(0.00)

(0.00)

(0.00)

Ratio female to male workers in the firm

−0.170

−0.145

−0.179

−0.220

−0.199

−0.189

(0.02)

(0.03)

(0.02)

(0.02)

(0.02)

(0.03)

Worker turnover in the firm

−0.000

0.000

−0.000

−0.000

−0.000

−0.000

(0.00)

(0.00)

(0.00)

(0.00)

(0.00)

(0.00)

  1. Note: Standard errors in parentheses. 11,698 men in private and public sector employment. Full-time employees only. Explanatory variables as in Specification 1 of Table 2. All regressions include also firm size, region, occupation, and industry indicator variables