Abstract
This paper estimates a search and matching model of the U.S. labor market with on-the-job search. Using Bayesian methods we find that the model generates different dynamics compared to the standard search and matching model. Furthermore, our parameter estimates vary sizably across good and bad jobs. Job-specific shocks have different effects and create interesting spillover effects. We find that shocks to good jobs matter more than shocks to bad jobs.