This paper proposes a hidden state Markov model (HMM) that incorporates workers' unobserved labor market attachment into the analysis of labor market dynamics. Unlike previous literature, which typically assumes that a worker's observed labor force status follows a first-order Markov process,...

We explore the long-term impact of economic booms on labor market outcomes using a novel approach based on revisions to professional forecasts over the past 30 years for 34 advanced economies. We find that when employment rises unexpectedly, forecasters typically raise their long-term forecasts...

This paper studies whether labor market mismatch played an important role for labor market dynamics during the COVID-19 pandemic. We apply the framework of Sahin and others (2014) to the US and the UK to measure misallocation between job seekers and vacancies across sectors until the third...

Amid total factor productivity (TFP) shocks job-to-job flows amplify the volatility of unemployment, but the aggregate implications of job-to-job flows amid financial shocks are less understood. To develop such understanding we model a general equilibrium labor-search framework that incorporates...

Using a search and matching labor market equilibrium model, this paper quantifies lost labor productivity and consumption per worker that emerges from the restrictions on dismissals. Dismissal restrictions hamper the efficient reallocation of workers, with workers remaining longer in jobs. But...

We study how the distribution of earnings growth evolves over the business cycle in Italy. We distinguish between two sources of annual earnings growth: changes in employment time (number of weeks of employment within a year) and changes in weekly earnings. Changes in employment time generate...