What accounts for differences in output per capita and total factor productivity (TFP) across countries? Empirical evidence points to resource misallocation across heterogeneous production units as an important factor. We study resource misallocation in a model where establishment-level...

We assess the quantitative impact of firing costs on aggregate total factor productivity (TFP) in a dynamic general-equilibrium framework where the distribution of establishment-level productivity is not invariant to the policy. Firing costs not only generate static factor misallocation, but...

Using individual-level data for 30 European countries between 1983 and 2019, we document the extent and earning consequences of workers’ reallocation across occupations and industries and how these outcomes vary with individual-level characteristics, namely (i) education, (ii) gender, and...

Using individual-level data for 30 European countries between 1983 and 2019, we document the extent and earning consequences of workers’ reallocation across occupations and industries and how these outcomes vary with individual-level characteristics, namely (i) education, (ii) gender, and...

Natural disasters often have high economic costs, setting back years of investment in developing countries. This paper develops a multi-sector DSGE model to study the macroeconomic and welfare implications of financing resilience-building using different fiscal instruments. The model includes...

This paper investigates whether the COVID-19 recession led to an increase in demand for digital occupations in the United States. Using O*NET to capture the digital content of occupations, we find that regions that were hit harder by the COVID-19 recession experienced a larger increase in the...

This study examines the green transition's effects on labor markets using a task-based framework to identify jobs with tasks that contribute, or with the potential to contribute, to the green transition. Analyzing data from Brazil, Colombia, South Africa, the United Kingdom, and the United...

We document historical patterns of workers' transitions across occupations and over the life-cycle for different levels of exposure and complementarity to Artificial Intelligence (AI) in Brazil and the UK. In both countries, college-educated workers frequently move from high-exposure,...

This paper examines the impact of changes in commuting time on welfare and labor supply in the aftermath of the COVID-19 pandemic. Utilizing data from the American Time Use Survey, we observe a shift in commuting time and working hours across occupations with varying ability of telework after...

This paper examines the impact of Artificial Intelligence (AI) on labor markets in both Advanced Economies (AEs) and Emerging Markets (EMs). We propose an extension to a standard measure of AI exposure, accounting for AI's potential as either a complement or a substitute for labor, where...