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Table 2 Probability of overeducation (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

0.07***

0.07***

0.07***

 

(0.004)

(0.004)

(0.004)

Overskilljob1

−0.01***

−0.01***

−0.01***

 

(0.003)

(0.003)

(0.003)

Male

0.00

0.00

0.00

 

(0.003)

(0.003)

(0.003)

Labour exp

−0.00***

−0.00***

−0.00***

 

(0.000)

(0.000)

(0.000)

Age

0.00**

0.00**

0.00**

 

(0.000)

(0.000)

(0.000)

Years HE

−0.01***

−0.01***

−0.01***

 

(0.002)

(0.002)

(0.002)

Humanities

−0.00

−0.00

−0.00

 

(0.004)

(0.004)

(0.004)

Social

−0.00

−0.00

−0.00

 

(0.004)

(0.004)

(0.004)

Science

−0.00

−0.00

−0.00

 

(0.005)

(0.005)

(0.005)

Engineering

−0.00

−0.00

−0.00

 

(0.005)

(0.005)

(0.005)

Unemploy hist

0.01***

0.01***

0.01***

 

(0.003)

(0.003)

(0.003)

Migrant

−0.00

  
 

(0.007)

  

Estab migrant

 

0.00

 
  

(0.008)

 

New migrant

 

−0.01

 
  

(0.012)

 

EU 15

  

−0.00

   

(0.010)

EU other

  

0.03

   

(0.023)

High income

  

−0.05

   

(0.030)

Rest of world

  

0.00

   

(0.010)

Course employer

0.00

0.00

0.00

 

(0.003)

(0.003)

(0.003)

Course prestige

−0.01***

−0.01***

−0.01***

 

(0.003)

(0.003)

(0.003)

Vocational course

0.00

0.00

0.00

 

(0.003)

(0.003)

(0.003)

Fieldmatchnow

−0.09***

−0.09***

−0.09***

 

(0.005)

(0.005)

(0.005)

Fieldrelatednow

−0.08***

−0.08***

−0.08***

 

(0.004)

(0.004)

(0.004)

Hours

−0.00**

−0.00**

−0.00**

 

(0.000)

(0.000)

(0.000)

R&D Firm

−0.01***

−0.01***

−0.01***

 

(0.003)

(0.003)

(0.003)

Size 50–99

−0.01***

−0.01***

−0.01***

 

(0.005)

(0.005)

(0.005)

Size 100–249

−0.01**

−0.01**

−0.01**

 

(0.005)

(0.005)

(0.005)

Size 250–999

−0.00

−0.00

−0.00

 

(0.004)

(0.004)

(0.004)

Size 1000+

−0.01*

−0.01*

−0.01*

 

(0.003)

(0.003)

(0.003)

Public sector

−0.01***

−0.01***

−0.01***

 

(0.003)

(0.003)

(0.003)

N of employers

0.00*

0.00*

0.00*

 

(0.000)

(0.000)

(0.000)

Supervisor

−0.02***

−0.02***

−0.02***

 

(0.003)

(0.003)

(0.003)

Italy

0.03***

0.03***

0.03***

 

(0.006)

(0.006)

(0.006)

Spain

0.01

0.01

0.01

 

(0.006)

(0.006)

(0.006)

France

−0.04***

−0.04***

−0.04***

 

(0.008)

(0.008)

(0.008)

Austria

0.02**

0.02**

0.02***

 

(0.007)

(0.007)

(0.007)

Netherlands

−0.02**

−0.02**

−0.02**

 

(0.007)

(0.007)

(0.007)

UK

−0.02**

−0.02**

−0.01**

 

(0.007)

(0.007)

(0.007)

Finland

−0.01

−0.01

−0.01

 

(0.007)

(0.007)

(0.007)

Norway

−0.01*

−0.01*

−0.01*

 

(0.008)

(0.008)

(0.008)

Portugal

0.02*

0.02*

0.02*

 

(0.010)

(0.010)

(0.010)

Belgium

−0.04***

−0.04***

−0.04***

 

(0.010)

(0.010)

(0.010)

Constant

0.01

0.01

0.01

 

(0.016)

(0.016)

(0.016)

Pseudo R2

0.394

0.394

0.395

Observations

13,342

13,342

13,342

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