We analyse an equilibrium labour market with on-the-job search and experience effects (where workers learn-by-doing). The analysis yields a standard Mincer wage equation with worker fixed effects and endogenously determined firm fixed effects. It shows that learning-by-doing increases...

We analyse an equilibrium labour market with on-the-job search and experience effects (where workers learn-by-doing). The analysis yields a standard Mincer wage equation with worker fixed effects and endogenously determined firm fixed effects. It shows that learning-by-doing increases...

The focus of this chapter is to consider new developments in the search and matching literature where wages, quit turnover and unemployment are endogenously determined in economies with aggregate shocks. The aim of the discussion is not only to highlight possible market failures but also to...

Workers might change jobs for many reasons. They might fall out with the boss and so decide to change employer, or learn that the job is not really for them, or they might accept a poorly paid job as being preferable to being unemployed - say gathering work experience improves one's CV - and...

In this paper we develop and quantitatively assess a tractable equilibrium search model of the labour market to analyse the long-term wage costs of a job loss. In our framework, these costs occur due to losses in workers' human capital and firm specific compensation, interruptions to workers'...

We analyse an equilibrium labour market with on-the-job search and experience effects (where workers learn-by-doing). The analysis yields a standard Mincer wage equation with worker fixed effects and endogenously determined firm fixed effects. It shows that learning-by-doing increases...

This paper develops and estimates a fully microfounded equilibrium business cycle model of the US labor market with aggregate productivity shocks. Those microfoundations are consistent with evidence regarding the underlying distribution of firm growth rates across firms [by age and size] and,...