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

Genus

Journal of Population Sciences

Table 3 Predicting graduates’ income 5 years after graduation

	Model 1 baseline			Model 2 + migration for study
	Estimate	S.E	p value	Estimate	S.E	p value
Parental education
Both with higher education (ref)
At least one with higher educated	− 0.040	0.018	0.036	− 0.032	0.018	0.080
At least one with high school	− 0.050	0.016	0.006	− 0.035	0.016	0.029
Both with less than high school	− 0.081	0.018	0.000	− 0.065	0.017	0.000
Migration study				0.154	0.010	0.000
Field of study
Law (ref)
Agriculture	0.137	0.040	0.001	0.133	0.040	0.001
Architecture	0.075	0.029	0.010	0.062	0.029	0.032
Chemistry and pharmacy	0.399	0.024	0.000	0.401	0.024	0.000
Economics/statistics	0.304	0.027	0.000	0.299	0.027	0.000
Sports science and physical education	− 0.179	0.053	0.001	− 0.204	0.053	0.000
Biology and geography	0.161	0.034	0.000	0.155	0.034	0.000
Engineering	0.486	0.026	0.000	0.479	0.026	0.000
Education	− 0.038	0.041	0.362	− 0.038	0.041	0.354
Literature	0.026	0.032	0.414	− 0.007	0.032	0.829
Linguistics	0.119	0.034	0.001	0.109	0.034	0.002
Medicine	0.455	0.034	0.000	0.443	0.034	0.000
Political science/social science	0.180	0.028	0.000	0.150	0.028	0.000
Psychology	− 0.148	0.032	0.000	− 0.168	0.032	0.000
Natural science/mathematics/physics	0.358	0.036	0.000	0.371	0.036	0.000
Gender
Men (ref)
Women	− 0.195	0.011	0.000	− 0.190	0.011	0.000
Constant	7.800	0.112	0.000	7.668	0.112	0.000
R-Squared	0.195			0.210
N	11,192			11,192

Linear probability models with robust standard error; All models control also for: age, degree type, secondary school, grades secondary school,grades university