Skip to main content

Table 5 OLS Regression with Public (L), Education (M), Health (N) and Other (all other NACE categories) industries shown in the bolded rows

From: Exploring the public-private sector wage gap in European countries

 

AT

BE

BG

CY

CZ

DE

DK

EE

ES

FI

GR

HU

IE

IS

public

0.019

0.006

0.116***

0.017

0.102***

-0.011

0.059***

0.038*

0.054***

0.006

0.104***

0.141***

0.042**

0.103***

education

0.004

-0.049***

-0.114***

0.243***

-0.061***

-0.008

-0.031**

-0.079***

0.096***

0.014

0.056*

-0.048***

0.094***

-0.114***

health

-0.048***

-0.025*

-0.138***

0.002

-0.031***

-0.048***

-0.051***

0.002

-0.016

-0.007

-0.036*

-0.085***

-0.050**

-0.037

other

0.024*

0.068***

0.135***

-0.262***

-0.010

0.068***

0.023**

0.039***

-0.133***

-0.012

-0.124***

-0.008

-0.085***

0.048**

age25_29

-0.196***

-0.222***

-0.025

-0.237***

-0.051***

-0.222***

-0.201***

0.076***

-0.175***

-0.119***

-0.338***

-0.130***

-0.282***

-0.201***

age30_34

-0.063***

-0.111***

-0.025

-0.099***

0.020**

-0.080***

-0.038***

0.094***

-0.111***

-0.061***

-0.167***

-0.017

-0.149***

-0.113***

age35_39

-0.014

-0.009

0.019

-0.063***

0.033***

0.017

0.020*

0.049***

-0.011

-0.027*

-0.052***

0.031**

0.025

0.013

age40_44

-0.006

0.052***

0.014

0.033*

0.002

0.034***

0.059***

0.033**

0.025**

0.023

0.056***

0.024*

0.062***

0.071***

age45_49

0.057***

0.087***

0.037*

0.068***

0.024***

0.083***

0.068***

-0.016

0.064***

0.046***

0.138***

0.004

0.146***

0.097***

age50_54

0.078***

0.099***

-0.004

0.145***

0.002

0.102***

0.043***

-0.053***

0.095***

0.062***

0.193***

0.060***

0.088***

0.059**

age55_60

0.144***

0.104***

-0.015

0.152***

-0.030***

0.065***

0.050***

-0.183***

0.114***

0.076***

0.171***

0.028*

0.110***

0.075***

edL

-0.207***

-0.109***

-0.170***

-0.088***

-0.215***

-0.092***

-0.077***

-0.151***

-0.139***

-0.118***

-0.142***

-0.236***

-0.157***

-0.153***

edS

0.004

-0.014*

-0.059***

-0.043***

-0.029***

-0.036***

-0.005

-0.017

0.001

-0.028***

-0.013

-0.065***

-0.014

-0.018

edH

0.203***

0.123***

0.229***

0.131***

0.243***

0.128***

0.081***

0.169***

0.138***

0.146***

0.156***

0.301***

0.171***

0.171***

female

-0.100***

-0.033***

-0.129***

-0.176***

-0.132***

-0.091***

-0.093***

-0.203***

-0.085***

-0.108***

-0.102***

-0.084***

-0.073***

-0.082***

male

0.100***

0.033***

0.129***

0.176***

0.132***

0.091***

0.093***

0.203***

0.085***

0.108***

0.102***

0.084***

0.073***

0.082***

temporary

-0.071***

-0.065***

-0.070***

-0.291***

-0.025***

-0.102***

na.

-0.051

-0.084***

-0.083***

-0.087***

-0.079***

-0.038

-0.097***

permanent

0.071***

0.065***

0.070***

0.291***

0.025***

0.102***

na.

0.051

0.084***

0.083***

0.087***

0.079***

0.038

0.097***

occup_d

-0.189***

-0.145***

-0.113***

-0.305***

-0.162***

-0.231***

-0.125***

-0.148***

-0.161***

-0.173***

-0.201***

-0.201***

-0.170***

-0.128***

occup_c

-0.063***

-0.071***

-0.141***

-0.149***

-0.120***

-0.087***

-0.120***

-0.236***

-0.126***

-0.160***

-0.122***

-0.170***

-0.152***

-0.093***

occup_b

0.102***

0.047***

0.065***

0.099***

0.067***

0.116***

0.067***

0.147***

0.090***

0.028***

0.020

0.088***

0.139***

0.082***

occup_a

0.150***

0.169***

0.189***

0.355***

0.216***

0.202***

0.178***

0.237***

0.198***

0.305***

0.304***

0.283***

0.183***

0.140***

Constant

2.628***

2.730***

0.221***

2.286***

1.369***

2.561***

3.114***

1.206***

2.374***

2.725***

2.335***

1.108***

2.987***

2.905***

Observations

2,963

3,224

3,031

2,862

8,484

6,559

4,551

4,011

8,601

3,453

3,104

5,943

1,965

1,083

R-squared

0.326

0.268

0.216

0.528

0.341

0.266

0.262

0.334

0.366

0.400

0.392

0.381

0.351

0.274

 

IT

LT

LU

LV

NL

NO

PL

PT

RO

SE

SI

SK

UK

public

0.056***

0.018

0.137***

0.097***

0.072***

-0.026

0.061***

0.078***

0.107***

0.060**

-0.004

0.092***

0.092***

education

-0.035***

0.068***

0.002

-0.082***

-0.093***

-0.048***

0.041***

0.052***

-0.057***

-0.089***

0.018

-0.059***

-0.062***

health

0.032***

-0.089***

-0.023

0.041

-0.002

-0.009

-0.105***

-0.019

-0.054***

-0.065***

-0.003

-0.066***

-0.041**

other

-0.053***

0.003

-0.117***

-0.056***

0.022**

0.084***

0.002

-0.111***

0.004

0.094***

-0.011

0.033***

0.010

age25_29

-0.205***

0.011

-0.250***

0.029

-0.264***

-0.151***

-0.163***

-0.219***

-0.137***

-0.187***

-0.159***

-0.049***

-0.180***

age30_34

-0.111***

0.075***

-0.176***

0.059**

-0.113***

-0.071***

-0.089***

-0.112***

-0.023

-0.122***

-0.109***

-0.038***

0.002

age35_39

-0.040***

-0.043**

-0.091***

0.015

0.007

0.024

0.027**

-0.011

-0.003

-0.015

-0.008

0.026**

0.042**

age40_44

0.021***

0.017

-0.005

-0.014

0.066***

0.043**

0.067***

0.032*

0.063***

0.037*

0.031**

0.028**

0.043***

age45_49

0.077***

0.008

0.085***

-0.004

0.087***

0.080***

0.054***

0.082***

0.040***

0.080***

0.094***

0.024**

0.043***

age50_54

0.113***

-0.030

0.176***

-0.050**

0.108***

0.055***

0.048***

0.104***

0.041***

0.099***

0.079***

0.026**

0.021

age55_60

0.145***

-0.038*

0.261***

-0.034

0.109***

0.020

0.056***

0.125***

0.019

0.108***

0.071***

-0.017

0.030*

edL

-0.139***

-0.121***

-0.192***

-0.207***

-0.140***

-0.118***

-0.179***

-0.352***

-0.240***

-0.039*

-0.246***

-0.209***

-0.204***

edS

-0.001

-0.031*

-0.015

-0.076***

-0.058***

-0.001

-0.032***

-0.048***

-0.050***

-0.021*

-0.057***

-0.006

-0.011

edH

0.139***

0.152***

0.207***

0.283***

0.198***

0.119***

0.212***

0.401***

0.290***

0.060***

0.303***

0.215***

0.215***

female

-0.076***

-0.187***

-0.088***

-0.170***

-0.063***

-0.088***

-0.116***

-0.135***

-0.091***

-0.084***

-0.076***

-0.114***

-0.082***

male

0.076***

0.187***

0.088***

0.170***

0.063***

0.088***

0.116***

0.135***

0.091***

0.084***

0.076***

0.114***

0.082***

temporary

-0.115***

-0.049**

-0.107***

-0.056*

-0.057***

-0.062**

-0.096***

-0.079***

-0.071***

-0.130***

-0.097***

-0.050***

na

permanent

0.115***

0.049**

0.107***

0.056*

0.057***

0.062**

0.096***

0.079***

0.071***

0.130***

0.097***

0.050***

na

occup_d

-0.182***

-0.237***

-0.283***

-0.220***

-0.157***

-0.086***

-0.202***

-0.186***

-0.204***

-0.209***

-0.234***

-0.131***

-0.226***

occup_c

-0.088***

-0.255***

-0.150***

-0.215***

-0.083***

-0.093***

-0.210***

-0.091***

-0.212***

-0.134***

-0.120***

-0.137***

-0.120***

occup_b

0.025**

0.170***

0.138***

0.140***

0.063***

0.058***

0.128***

0.177***

0.104***

0.037**

0.083***

0.060***

0.111***

occup_a

0.246***

0.322***

0.295***

0.296***

0.177***

0.120***

0.284***

0.100

0.312***

0.307***

0.271***

0.209***

0.235***

Constant

2.528***

1.004***

3.042***

1.176***

2.943***

3.017***

1.185***

2.046***

0.530***

2.721***

2.000***

0.995***

2.819***

Observations

10,219

3,575

2,912

3,726

2,485

2,128

8,586

2,777

4,588

2,493

3,365

5,521

4,439

R-squared

0.313

0.282

0.537

0.293

0.417

0.182

0.303

0.514

0.387

0.224

0.442

0.284

0.294