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Table 7 Quantile wage equations: all employees

From: Born abroad and educated here: examining the impacts of education and skill mismatch among immigrant graduates in Europe

 

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VARIABLES

Q .2

Q .4

Q .5

Q .7

Q .9

Overedjob1

−0.02*

−0.05***

−0.06***

−0.07***

−0.08***

 

(0.013)

(0.010)

(0.010)

(0.011)

(0.014)

Overskilljob1

−0.00

0.01

0.00

−0.01

−0.00

 

(0.012)

(0.010)

(0.009)

(0.010)

(0.013)

Overed now

−0.26***

−0.27***

−0.26***

−0.22***

−0.20***

 

(0.018)

(0.014)

(0.014)

(0.015)

(0.019)

Overskilled now

−0.05***

−0.05***

−0.04***

−0.05***

−0.04**

 

(0.016)

(0.013)

(0.012)

(0.014)

(0.017)

Overed*estab mig

0.11

0.06

0.13*

0.12

−0.02

 

(0.096)

(0.076)

(0.074)

(0.082)

(0.104)

Oversk*estab mig

0.01

0.01

−0.06

−0.06

−0.08

 

(0.080)

(0.064)

(0.062)

(0.069)

(0.088)

Overed*new mig

0.18

0.08

−0.03

−0.24*

−0.05

 

(0.165)

(0.132)

(0.127)

(0.142)

(0.181)

Oversk*new mig

−0.38***

−0.44***

−0.38***

−0.16

−0.12

 

(0.132)

(0.105)

(0.101)

(0.113)

(0.144)

Male

0.09***

0.10***

0.10***

0.10***

0.13***

 

(0.009)

(0.007)

(0.007)

(0.008)

(0.010)

Labour exp

0.00***

0.00***

0.00***

0.00***

0.00***

 

(0.000)

(0.000)

(0.000)

(0.000)

(0.000)

Age

0.00

−0.00

−0.00

−0.00

−0.00**

 

(0.002)

(0.001)

(0.001)

(0.001)

(0.002)

Years HE

0.05***

0.06***

0.06***

0.07***

0.09***

 

(0.006)

(0.004)

(0.004)

(0.005)

(0.006)

Humanities

0.01

0.02

0.02

0.01

0.01

 

(0.013)

(0.010)

(0.010)

(0.011)

(0.014)

Social

0.06***

0.07***

0.08***

0.08***

0.10***

 

(0.012)

(0.010)

(0.009)

(0.010)

(0.013)

Science

0.06***

0.07***

0.07***

0.06***

0.03*

 

(0.016)

(0.012)

(0.012)

(0.013)

(0.017)

Engineering

0.13***

0.12***

0.13***

0.11***

0.12***

 

(0.015)

(0.012)

(0.012)

(0.013)

(0.017)

Unemploy hist

−0.04***

−0.07***

−0.07***

−0.07***

−0.09***

 

(0.009)

(0.007)

(0.007)

(0.008)

(0.010)

Estab migrant

0.39

0.44**

0.65***

0.95***

1.32***

 

(0.268)

(0.214)

(0.207)

(0.231)

(0.293)

New migrant

−0.30

−1.11***

−1.33***

−1.86***

−2.01***

 

(0.465)

(0.371)

(0.358)

(0.400)

(0.508)

Course employer

0.03***

0.02***

0.02***

0.02***

0.03***

 

(0.009)

(0.007)

(0.007)

(0.008)

(0.010)

Course prestige

0.03***

0.03***

0.03***

0.03***

0.03**

 

(0.010)

(0.008)

(0.007)

(0.008)

(0.010)

Vocational course

0.03***

0.02**

0.02**

0.01

0.01

 

(0.009)

(0.007)

(0.007)

(0.008)

(0.010)

Fieldmatchnow

−0.01

0.01

0.02

0.02

0.00

 

(0.015)

(0.012)

(0.011)

(0.012)

(0.016)

Fieldrelatednow

0.02

0.03***

0.03***

0.02*

−0.00

 

(0.013)

(0.010)

(0.010)

(0.011)

(0.014)

Hours

0.02***

0.02***

0.02***

0.01***

0.01***

 

(0.001)

(0.000)

(0.000)

(0.000)

(0.001)

R&D Firm

0.01

0.01**

0.01**

0.02**

0.02***

 

(0.008)

(0.007)

(0.006)

(0.007)

(0.009)

Size 50–99

0.09***

0.06***

0.05***

0.04***

0.02

 

(0.016)

(0.013)

(0.012)

(0.014)

(0.017)

Size 100–249

0.08***

0.06***

0.05***

0.04***

0.04***

 

(0.014)

(0.011)

(0.011)

(0.012)

(0.016)

Size 250–999

0.08***

0.07***

0.07***

0.06***

0.08***

 

(0.013)

(0.010)

(0.010)

(0.011)

(0.014)

Size 1000+

0.14***

0.13***

0.12***

0.11***

0.12***

 

(0.010)

(0.008)

(0.008)

(0.009)

(0.011)

Public sector

−0.06***

−0.05***

−0.04***

−0.04***

−0.04***

 

(0.009)

(0.007)

(0.007)

(0.008)

(0.010)

N of employers

−0.01***

−0.00**

−0.00***

−0.00

−0.00

 

(0.002)

(0.002)

(0.002)

(0.002)

(0.002)

Supervisor

0.06***

0.06***

0.06***

0.07***

0.08***

 

(0.009)

(0.007)

(0.007)

(0.008)

(0.010)

Italy

−0.70***

−0.65***

−0.63***

−0.59***

−0.51***

 

(0.021)

(0.017)

(0.016)

(0.018)

(0.023)

Spain

−0.76***

−0.71***

−0.68***

−0.62***

−0.54***

 

(0.019)

(0.015)

(0.015)

(0.016)

(0.021)

France

−0.31***

−0.30***

−0.29***

−0.28***

−0.30***

 

(0.022)

(0.018)

(0.017)

(0.019)

(0.024)

Austria

−0.26***

−0.26***

−0.26***

−0.25***

−0.20***

 

(0.022)

(0.018)

(0.017)

(0.019)

(0.024)

Netherlands

−0.13***

−0.14***

−0.16***

−0.17***

−0.21***

 

(0.019)

(0.015)

(0.015)

(0.017)

(0.021)

UK

−0.17***

−0.12***

−0.09***

−0.02

0.07***

 

(0.023)

(0.019)

(0.018)

(0.020)

(0.026)

Finland

−0.15***

−0.19***

−0.19***

−0.20***

−0.23***

 

(0.020)

(0.016)

(0.015)

(0.017)

(0.022)

Norway

0.14***

0.10***

0.09***

0.07***

0.08***

 

(0.020)

(0.016)

(0.015)

(0.017)

(0.021)

Portugal

−0.93***

−0.91***

−0.87***

−0.83***

−0.77***

 

(0.031)

(0.025)

(0.024)

(0.027)

(0.034)

Belgium

−0.16***

−0.16***

−0.17***

−0.19***

−0.21***

 

(0.023)

(0.018)

(0.018)

(0.020)

(0.025)

Oldmills

−0.11

0.01

−0.13

−0.35*

−0.21

 

(0.220)

(0.175)

(0.169)

(0.189)

(0.240)

Oldmills2

0.24*

0.43***

0.42***

0.41***

0.88***

 

(0.135)

(0.108)

(0.104)

(0.116)

(0.148)

Newmills

−0.70*

0.12

0.33

0.77**

0.48

 

(0.400)

(0.319)

(0.308)

(0.344)

(0.436)

Newmills2

−0.95***

−0.80***

−0.79***

−0.80***

−1.32***

 

(0.316)

(0.252)

(0.243)

(0.272)

(0.345)

Constant

6.30***

7.25***

7.45***

8.01***

8.19***

 

(0.435)

(0.347)

(0.335)

(0.374)

(0.475)

Pseudo R2

0.407

0.394

0.381

0.340

0.278

Observations

12,622

12,622

12,622

12,622

12,622

  1. Standard errors in parentheses
  2. ***p < 0.01, **p < 0.05, *p < 0.1
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