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Table 7 Descriptive statistics of the explanatory variables included in the multinomial logistic regression

From: Mapping the (mis)match of university degrees in the graduate labor market

 

First job

Current job

 

Frequency

Percent

Frequency

Percent

Architecture

176

0.72

120

0.6

Biology

813

3.34

537

2.9

Business Studies

748

3.08

588

3.2

Chemistry

635

2.61

503

2.7

Engineering

1761

7.24

1523

8.2

Fine Arts

221

0.91

128

0.7

History and Philosophy

1178

4.84

841

4.5

Journalism

1253

5.15

867

4.6

Labor Relations

384

1.58

297

1.6

Languages and Literature

932

3.83

701

3.8

Law Studies

870

3.58

668

3.6

Management and Economics Studies

1511

6.21

1220

6.5

Mathematics

356

1.46

295

1.6

Medicine

708

2.91

696

3.7

Nursing Studies

2085

8.58

1506

8.1

Pharmacy

532

2.19

422

2.3

Physics

348

1.43

265

1.4

Political Science and Sociology

306

1.26

229

1.2

Psychology

928

3.82

710

3.8

Quantity Surveyors (Technical Architecture)

567

2.33

402

2.2

Social Work

676

2.78

491

2.6

Sports Science

465

1.91

356

1.9

Teacher Studies

3054

12.56

2377

12.7

Technical Engineering

2727

11.22

2151

11.5

Tourism Studies

670

2.76

465

2.5

Veterinary

291

1.20

217

1.2

Other university degrees

119

0.49

85

0.5

Female (= 1)

14,817

60.94

11,275

60.4

Internship (= 1 yes)

15,852

65.20

  

Master’s degree (= 1 yes)

  

6271

33.6

Age (under 30 years old)

  

11,040

59.2

Age (from 30 to 34 years old)

  

4588

24.6

Age (35 years old or older)

  

3032

16.2

Observations

24,314

 

18,660

 
  1. Source: author's elaboration from EILU2014