Adaptive Learning and Labour Market Dynamics

The standard search and matching model with rational expectations is well known to be unable to generate amplification in unemployment and vacancies. We document a new feature it is unable to replicate: properties of survey forecasts of unemployment in the near term. We present a parsimonious model with adaptive learning and simple autoregressive forecasting rules which provide a solution to both of these problems. Firms choose vacancies by forecasting wages using simple autoregressive models; they have greater incentive to post vacancies at the time of a positive productivity shock because of overoptimism about the discounted value of expected profits