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...

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...

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...

We develop a general equilibrium model with matching frictions that predicts the impact of the COVID-19 lockdown on US unemployment, while accounting for the contrasted impacts across various job types. The model is calibrated on the subprime experience and is then used to identify the...

Since 1960, the dynamics of the aggregate hours of market work exhibit dramatic differences across industrialized countries. Before 1980, these differences seem to come from the hours worked per employee (the intensive margin). However, since 1980 a notable feature of the data is that the...