While there is a large body of literature evaluating how active labor-market policies such as training impact worker outcomes, relatively few studies examine how such policies impact workers who are displaced by trade. The few studies on training and trade-related labor adjustment focus on the...

This paper examines the socio-demographic disparities evident in the early labour market response to the COVID-19 pandemic in Austria, relying on the register-based labour market career dataset from the Austrian Micro Data Center (AMDC) for the 2018-2021 period. The analysis focuses on the...

High-tenure workers who lose their jobs experience a large and prolonged fall in wages and earnings. The aim of this paper is to understand and quantify the forces behind this empirical regularity. We propose a structural model of the labor market with heterogeneous firms, on-the-job search and...

This paper introduces the AI Generated Index of Occupational Exposure (GENOE), a novel measure quantifying the potential impact of artificial intelligence on occupations and their associated tasks. Our methodology employs synthetic AI surveys, leveraging large language models to conduct...

This paper investigates how the job search outcomes of displaced migrants are affected by the labor market outcomes of past co-workers of the same nationality. For this exercise I use matched employer-employee micro data on the universe of private-sector employees in Italy between 1975 and 2001....