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Table 4 Probability of overskilling (probit, marginal effects)

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

 

(1)

(2)

(3)

VARIABLES

Spec1

Spec1

Spec1

Overedjob1

−0.01

−0.01

−0.01

 

(0.005)

(0.005)

(0.005)

Overskilljob1

0.10***

0.10***

0.10***

 

(0.005)

(0.005)

(0.005)

Male

0.01**

0.01**

0.01**

 

(0.004)

(0.004)

(0.004)

Labour exp

−0.00***

−0.00***

−0.00***

 

(0.000)

(0.000)

(0.000)

Age

0.00**

0.00**

0.00**

 

(0.001)

(0.001)

(0.001)

Years HE

0.00

0.00

0.00

 

(0.003)

(0.003)

(0.003)

Humanities

−0.01

−0.01

−0.01

 

(0.007)

(0.007)

(0.007)

Social

−0.00

−0.00

−0.00

 

(0.006)

(0.006)

(0.006)

Science

0.01

0.01

0.01

 

(0.007)

(0.007)

(0.007)

Engineering

0.00

0.00

0.00

 

(0.007)

(0.007)

(0.007)

Unemploy hist

0.01***

0.01***

0.01***

 

(0.004)

(0.004)

(0.004)

Migrant

0.03***

  
 

(0.009)

  

Estab migrant

 

0.03***

 
  

(0.011)

 

New migrant

 

0.02

 
  

(0.017)

 

EU 15

  

0.03**

   

(0.014)

EU other

  

0.01

   

(0.042)

High income

  

0.03

   

(0.029)

Rest of world

  

0.02*

   

(0.014)

Course employer

−0.01**

−0.01**

−0.01**

 

(0.004)

(0.004)

(0.004)

Course prestige

−0.02***

−0.02***

−0.02***

 

(0.004)

(0.004)

(0.004)

Vocational course

−0.00

−0.00

−0.00

 

(0.004)

(0.004)

(0.004)

Fieldmatchnow

−0.14***

−0.14***

−0.14***

 

(0.006)

(0.006)

(0.006)

Fieldrelatednow

−0.10***

−0.10***

−0.10***

 

(0.005)

(0.005)

(0.005)

Hours

−0.00*

−0.00*

−0.00*

 

(0.000)

(0.000)

(0.000)

R&D Firm

−0.01***

−0.01***

−0.01***

 

(0.004)

(0.004)

(0.004)

Size 50 − 99

−0.02**

−0.02**

−0.02**

 

(0.008)

(0.008)

(0.008)

Size 100–249

0.01

0.01

0.01

 

(0.007)

(0.007)

(0.007)

Size 250–999

0.01

0.01

0.01

 

(0.006)

(0.006)

(0.006)

Size 1000+

0.00

0.00

0.00

 

(0.005)

(0.005)

(0.005)

Public sector

−0.02***

−0.02***

−0.02***

 

(0.004)

(0.004)

(0.004)

N of employers

0.00*

0.00*

0.00*

 

(0.001)

(0.001)

(0.001)

Supervisor

−0.03***

−0.03***

−0.03***

 

(0.004)

(0.004)

(0.004)

Italy

0.00

0.00

0.00

 

(0.009)

(0.009)

(0.009)

Spain

0.00

0.00

0.00

 

(0.009)

(0.009)

(0.009)

France

−0.00

−0.00

−0.00

 

(0.010)

(0.010)

(0.010)

Austria

−0.01

−0.01

−0.01

 

(0.011)

(0.011)

(0.011)

Netherlands

−0.01

−0.01

−0.01

 

(0.009)

(0.009)

(0.009)

UK

−0.01

−0.01

−0.01

 

(0.011)

(0.011)

(0.011)

Finland

−0.02

−0.02

−0.02

 

(0.010)

(0.010)

(0.010)

Norway

−0.01

−0.01

−0.01

 

(0.010)

(0.010)

(0.010)

Portugal

−0.02

−0.02

−0.02

 

(0.019)

(0.019)

(0.019)

Belgium

−0.01

−0.01

−0.01

 

(0.011)

(0.011)

(0.011)

Constant

−0.06**

−0.06**

−0.06**

 

(0.025)

(0.025)

(0.025)

Pseudo R2

0.27

0.27

0.27

Observations

13,342

13,342

13,342

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