This paper extends Pissarides (1990)’s matching model by considering two sectors (routine and manual) and workers’ occupational choices, in the context of skill-biased demand shifts, to the detriment of routine jobs and in favour of manual jobs because of technological changes. The...

Recent events suggest that uncertainty changes play a major role in U.S. labor market fluctuations. This study analyzes the impact of uncertainty shocks on unemployment dynamics. Using a vector autoregression approach, we show that uncertainty shocks measured by stock market volatility have a...

We develop a multi-sectoral matching model to predict the impact of the lockdown on the US unemployment, considering the heterogeneity of workers to account for the contrasted impacts across various types of jobs. We show that separations and business closures that hit the workers with the first...

This study investigates job polarization in the United States and in France. In the data, the dynamics of employment shares for abstract, routine, and manual jobs appear very similar in the two countries. This similarity actually hides major differences in the dynamics of employment levels by...