This paper proposes a new method to estimate the extent of job competition between workers with different schooling levels. We estimate the structural parameters of a matching function generalised to incorporate crowding out effects. We use flow data out of unemployment containing information on...

This paper proposes a new method to estimate the extent of job competition between workers with different schooling levels. We estimate the structural parameters of a matching function generalised to incorporate crowding out effects. We use flow data out of unemployment containing information on...

This paper proposes a new method to estimate the extent of job competition between workers with different schooling levels. We estimate the structural parameters of a matching function generalised to incorporate crowding out effects. We use flow data out of unemployment containing information on...

This paper proposes a new method to estimate the extent of job competition between workers with different schooling levels. We estimate the structural parameters of a matching function generalised to incorporate crowding out effects. We use flow data out of unemployment containing information on...

Following massive take-up rates during the COVID-19 period, short-time work (STW) policies have attracted renewed interest. In this paper, we take stock of this policy instrument and provide a critical review of STW systems in Europe. We focus on the objectives of STW programs and their primary...

Following massive take-up rates during the COVID-19 period, short-time work (STW) policies have attracted renewed interest. In this paper, we take stock of this policy instrument and provide a critical review of STW systems in Europe. We focus on the objectives of STW programs and their primary...

We use (donut) regression discontinuity design and difference-in-differences estimators to estimate the impact of a one-shot hiring subsidy targeted at low-educated unemployed youths during the Great Recession recovery in Belgium. The subsidy increases job-finding in the private sector by 10...

We use (donut) regression discontinuity design and difference-in-differences estimators to estimate the impact of a one-shot hiring subsidy targeted at low-educated unemployed youths during the Great Recession recovery in Belgium. The subsidy increases job-finding in the private sector by 10...

We use a regression discontinuity design and difference-in-differences estimators to estimate the impact of a one-shot hiring subsidy for low-educated unemployed youths during the Great Recession recovery in Belgium. The subsidy increases job-finding in the private sector by 10 percentage points...

We use a regression discontinuity design and difference-in-differences estimators to estimate the impact of a one-shot hiring subsidy for low-educated unemployed youths during the Great Recession recovery in Belgium. The subsidy increases job-finding in the private sector by 10 percentage points...