Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/282226 
Erscheinungsjahr: 
2023
Schriftenreihe/Nr.: 
KRTK-KTI Working Papers No. KRTK-KTI WP - 2023/05
Verlag: 
Hungarian Academy of Sciences, Institute of Economics, Centre for Economic and Regional Studies, Budapest
Zusammenfassung: 
We estimate heterogeneous wage structure effects for country-pairs within the EU by the Causal Forest algorithm, then identify groups of workers with the highest and lowest discrepancies in terms of wage differentials. We find that, in the East-West comparison, age is the most consistently differentiating factor. People over 40 are most adversely treated in the East relative to the West, and especially those who have no tertiary education and work in small or medium-sized enterprises.
Schlagwörter: 
Wage structure effects
Generalized Random Forest Regression
Conditional average treatment effects
Wage convergence in the EU
JEL: 
J31
F66
C14
Dokumentart: 
Working Paper

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