This paper quantifies the impact of the Hartz reforms on matching efficiency, using monthly SOEP gross worker flows (1983-2009). We show that, until the early 2000s, close to 60% of changes in the unemployment rate are due to changes in the inflow rate (job separation). On the contrary, since...

This paper analyzes the effects of different labor market institutions on inflation and output volatility. The eurozone offers an unprecedented experiment for this exercise: since 1999, no national monetary policies have been implemented that could account for volatility differences across...

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 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 paper quantifies the impact of the Hartz reforms on matching efficiency, using monthly SOEP gross worker flows (1983-2009). We show that, until the early 2000s, close to 60% of changes in the unemployment rate are due to changes in the inflow rate (job separation). On the contrary, since...

This paper models the macroeconomic and distributional consequences of lockdown shocks during the COVID-19 pandemic. The model features heterogeneous life-cycle households, labor market search and matching frictions, and multiple industries of employment. We calibrate the model to data from New...

The COVID-19 pandemic raised the share of inactive individuals in 2020 in Italy, mostly at the expense of permanent and fix-term employment. We document sizable asymmetric effects across categories of individuals, defined on the basis of gender, age and geographical area. In particular, the...

In this paper, we compare two popular statistical learning techniques, logistic regression and random forest, with respect to their ability to classify jobseekers by their likelihood to become long-term unemployed. We study the performance of the two methods before the COVID-19 pandemic as well...

This report uses estimates from the Congressional Budget Office to project an unemployment scenario for the Pandemic Recession. We go on to use detailed unemployment and homeless data from the 2008 Great Recession to estimate the linkage between unemployment and homelessness and forecast the...

Most evaluation studies of active labour market policies (ALMP) focus on the microeconometric evaluation approach using individual data. However, as the microeconometric approach usually ignores impacts on the non-participants, it should be seen as a first step to a complete evaluation which has...