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Table 2 Probabilities of migrating to study and work related to stayers

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

  Migration for study vs. stayers Migration for work vs. stayers
Estimate S.E p value Estimate S.E p value
Parental education
 Both with higher education (ref)       
 At least one with higher education 0.758 0.061 0.001 0.823 0.086 0.062
 One with high school 0.677 0.050 0.000 0.912 0.085 0.329
 Both less than high school 0.546 0.045 0.000 0.764 0.079 0.010
Field of study
 Law (ref)       
 Agriculture 0.867 0.156 0.429 1.585 0.340 0.032
 Architecture 1.068 0.119 0.554 1.111 0.167 0.484
 Chemistry/pharmacy 1.117 0.133 0.354 1.881 0.270 0.000
 Economics/statistics 1.186 0.132 0.124 1.632 0.240 0.001
 Sports science and physical education 1.751 0.369 0.008 0.863 0.315 0.688
 Biology/ geography 1.007 0.139 0.955 1.608 0.286 0.008
 Engineering 1.462 0.165 0.001 3.733 0.540 0.000
 Education 0.755 0.139 0.128 1.021 0.237 0.928
 Literature 1.577 0.201 0.000 2.051 0.348 0.000
 Linguistics 1.422 0.199 0.012 2.112 0.376 0.000
 Medicine 1.102 0.147 0.464 1.122 0.206 0.531
 Political science/social science 2.262 0.249 0.000 1.491 0.233 0.011
 Psychology 1.698 0.206 0.000 0.947 0.173 0.767
 Natural science/mathematics/physics 0.705 0.133 0.066 3.727 0.684 0.000
Gender
 Men (ref)       
 Women 0.76 0.401 0.003 0.878 0.057 0.046
Constant 5.715 3.122 0.001 5.749 0.057 0.005
R-Squared    0.072  
N    11,192  
  1. Multinomial logistic regression; odds ratio; All models control also for: age, degree type, secondary school, grades secondary school, geographical regions