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Journal of Population Sciences

Table 4 Predicting graduates’ access to professional and managerial occupations 5 years after graduation

From: Privilege travels: migration and labour market outcomes of Southern Italian graduates

 

Model 1 baseline

Model 2 + migration study

Estimate

S.E

p value

Estimate

S.E

p value

Parental education

 Both with higher education (ref)

      

 At least one with education

− 0.160

0.085

0.060

− 0.157

0.085

0.066

 At least one with high school

− 0.287

0.077

0.000

− 0.282

0.077

0.000

 Both with less than high school

− 0.327

0.084

0.000

− 0.319

0.084

0.000

Migration study

   

0.086

0.048

0.072

Field of Study

 Law (ref)

      

 Agriculture

− 0.268

0.168

0.111

− 0.276

0.168

0.102

 Architecture

0.229

0.124

0.065

0.218

0.124

0.080

 Chemistry and pharmacy

0.416

0.151

0.006

0.414

0.151

0.006

 Economics/statistics

− 0.897

0.104

0.000

− 0.904

0.105

0.000

 Sports science and physical education

− 1.293

0.214

0.000

1.311

0.214

0.000

 Biology and Geography

0.244

0.131

0.062

0.236

0.131

0.071

 Engineering

0.570

0.109

0.000

0.563

0.109

0.000

 Education

− 1.336

0.166

0.000

− 1.341

0.166

0.000

 Literature

− 0.366

0.120

0.002

− 0.381

0.121

0.002

 Linguistics

− 0.555

0.129

0.000

− 0.566

0.129

0.000

 Medicine

− 0.555

0.136

0.000

− 0.567

0.136

0.000

 Political science/social science

− 1.150

0.107

0.000

− 1.171

0.107

0.000

 Psychology

− 0.042

0.116

0.717

− 0.058

0.116

0.618

 Natural science/mathematics/physics

0.444

0.158

0.005

0.448

0.158

0.005

Gender

 Men (ref)

      

 Women

− 0.205

0.051

0.000

− 0.202

0.051

0.000

Constant

5.802

0.676

0.000

5.711

0.678

0.000

R-Squared

0.163

 

0.164

 

N

11,192

 

11,192

 
  1. Logistic regression models; All models control also for: age, degree type, secondary school, grades secondary school, grades university