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Table 7 Country specific regressions/1

From: Skill mismatch among migrant workers: evidence from a large multi-country dataset

 

Netherlands

 

Belarus

 

Germany

 

Brazil

 

Ukraine

 

Argentina

 

MIGRANT

1.521

***

1.064

.

1.158

*

0.935

 

1.051

 

1.001

 

Age

0.987

***

1.001

 

1.005

**

0.988

***

0.991

***

0.998

 

Breaks

1.188

***

1.070

***

1.142

***

1.077

***

1.042

***

1.027

**

Second generation

1.187

***

1.164

**

1.908

   

1.141

   

Gender (female = 1)

1.411

***

0.959

*

1.284

***

1.327

***

0.858

***

1.222

***

Education (ref. ISCED10)

            

  ISCED 20

1.936

***

0.491

.

1.182

**

1.387

***

0.486

.

1.516

***

  ISCED 30

3.387

***

1.002

 

1.929

***

  

0.819

 

1.704

***

  ISCED 40

  

0.943

 

1.663

***

  

1.195

   

  ISCED 50

4.801

***

1.200

 

1.925

***

1.245

*

1.641

 

1.757

***

  ISCED 60

2.779

***

1.194

 

2.232

***

0.705

**

1.978

*

1.603

***

Corporate hierarchy

            

  CH2

0.871

*

0.516

***

0.453

***

0.585

***

0.422

***

1.054

 

  CH3

0.901

 

0.572

***

0.692

 

0.490

***

0.422

***

0.808

 

  CH4

0.286

***

0.453

***

0.303

*

0.315

***

0.396

***

0.576

*

  CH5

0.308

***

0.316

***

0.377

***

0.375

***

0.299

***

0.667

.

  CH6

0.149

***

0.289

***

0.363

**

0.292

***

0.235

***

0.434

**

Firm size (ref. 1–10)

            

  size 11-50

0.989

 

1.016

 

1.091

 

0.871

***

0.930

.

1.006

 

  size 51-100

1.034

 

1.012

 

1.054

 

0.740

***

0.942

 

0.835

**

  size 101-500

0.959

 

0.991

 

1.079

 

0.737

***

0.989

 

0.891

*

  size 500+

0.818

***

1.157

***

0.920

 

0.767

***

1.075

.

0.983

 

No. of observations

53 564

 

43 007

 

22 848

 

26 267

 

29 327

 

20 852

 
  1. Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’