Applying propensity score reweighting to Italian administrative data covering the period 1994-2012, we study the conditional distributions of injuries by wage of native and foreign workers and distinguish between the component that is explained by observable characteristics and the component...

This study identifies the job attributes, and in particular skills and abilities, which predict the likelihood a job is recently automatable drawing on the Josten and Lordan (2020) classification of automatability, EU labour force survey data and a machine learning regression approach. We find...

Using a country-industry panel dataset (EUKLEMS) we uncover a robust empirical regularity, namely that high-risk innovative sectors are relatively smaller in countries with strict employment protection legislation (EPL). To understand the mechanism, we develop a two-sector matching model where...

Since formal laws can be observed or ignored to varying degrees, the actual enforcement regime shapes incentives and constraints. Most of the studies exploring EPL effects on labour market performance implicitly assume that EPL compliance is near to complete and therefore all firms bear full...

This paper presents and discusses new data on employment protection legislation (EPL) in the successor states of the former USSR - the CIS and Baltic states - over 25 years from 1985 to 2009. We use the OECD methodology (OECD EPL, version II) for assessing the strictness of national labor laws...

Theory predicts that the wage effects of government-mandated severance payments depend on workers' and firms' relative bargaining power. This paper estimates the effect of employment protection legislation (EPL) on workers' individual wages in a quasi-experimental setting, exploiting a reform...

Although the negative economic effects of temporary employment are widely discussed, cross-country research on firms' demand for temporary employment is rare. National studies indicate that workload fluctuations are one major motive for firms to employ temporary workers. By studying a novel data...