Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/326889 
Erscheinungsjahr: 
2023
Schriftenreihe/Nr.: 
UNU-MERIT Working Papers No. 2023-039
Verlag: 
United Nations University (UNU), Maastricht Economic and Social Research Institute on Innovation and Technology (UNU-MERIT), Maastricht
Zusammenfassung: 
This study investigates differences in employment outcomes of students graduating from private versus public universities in Spain, and the resulting impact on employment outcomes. The methodology involves propensity score matching, utilising novel machine learning approaches. Machine learning algorithms can be used to calculate propensity scores and can potentially have advantages compared to conventional methods. Contrary to previous research carried out in Spain, this analysis found a wage premium for those pupils who attended a private university in the short and medium term, although these differences were relatively small. The discussion outlines the implications for intergenerational inequality, policy development, and future research that utilises machine learning algorithms.
Schlagwörter: 
employment outcomes
intergenerational inequality
university graduates
machine learning
propensity score matching
JEL: 
I24
I25
J62
O15
Creative-Commons-Lizenz: 
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Dokumentart: 
Working Paper

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