Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/282226 
Year of Publication: 
2023
Series/Report no.: 
KRTK-KTI Working Papers No. KRTK-KTI WP - 2023/05
Publisher: 
Hungarian Academy of Sciences, Institute of Economics, Centre for Economic and Regional Studies, Budapest
Abstract: 
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.
Subjects: 
Wage structure effects
Generalized Random Forest Regression
Conditional average treatment effects
Wage convergence in the EU
JEL: 
J31
F66
C14
Document Type: 
Working Paper

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