Using a large matched employer-employee dataset, the authors investigate the relationship between collective agreements, wages and restructuring in transition in three former centrally planned economies (Czech Republic, Hungary and Poland). They adopt a natural experiment approach and capture...

Using a large, matched employer-employee data set, the authors investigate the impact of company and industry collective bargaining agreements on wages in the Czech Republic, Hungary, and Poland (CE3). They also examine the changing characteristics of the union wage premium in different cohorts...

Using a large matched employer-employee dataset, the authors investigate the relationship between collective agreements, wages and restructuring in transition in three former centrally planned economies (Czech Republic, Hungary and Poland). They adopt a natural experiment approach and capture...

Using a large matched employer-employee dataset, the authors investigate the relationship between collective agreements, wages and restructuring in transition in three former centrally planned economies (Czech Republic, Hungary and Poland). They adopt a natural experiment approach and capture...

Recent studies show that firms are playing an increasingly important role in shaping wage inequality in advanced economies. We contribute to this literature by analysing wage inequality patterns and their firm dimension in Central and Eastern European countries. We use large, linked...

In this paper we use the national samples from the European Structure of Earnings Survey (ESES) to analyze the evolution of the wage premium of firm- and industry-level agreements in the Czech Republic, Hungary, and Poland (the CE3) around the time of their accession to the EU. We find that...

Recent studies show that firms are playing an increasingly important role in shaping wage inequality in advanced economies. We contribute to this literature by analysing wage inequality patterns and their firm dimension in Central and Eastern European countries. We use large, linked...