Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
This paper puts Search Frictions models under novel empirical scrutiny. To capture changing dynamics, we fit a Bayesian time-varying parameter VAR to US labour market data from 1965–2016. Using a DSGE model with Search Frictions, we identify several structural shocks, including a shock to worker bargaining power that we name a wage shock. We argue that the wage shock is a key driver of cyclical variation, explaining a higher proportion of the variation of these variables than productivity, demand or job separation shocks. We also document stark differences between empirical and theoretical impulse response functions that cast doubt on the core transmission mechanism of search and matching models.