This paper considers a dynamic matching model with imperfectly observable worker effort. In equilibrium, the wage distribution is truncated from below by a no-shirking condition. This downward wage rigidity induces the same type of inefficient churning and "contractual fragility" as in Ramey and...

In a search and matching environment, this paper assesses a range of modeling setups against macro evidence for the monetary transmission mechanism in the euro area. In particular, we assess right-to-manage vs. efficient bargaining, flexible vs. sticky wages, interactions at the firm level...

I analyze the effect of search frictions on inflation dynamics, in a New Keynesian model where firms make both pricing and vacancy posting decisions. I find that search frictions create real rigidities in price setting. This mechanism flattens the New Keynesian Phillips curve, relative both to...

We examine the finite-sample performance of small versus large scale dynamic factor models. Our Monte Carlo analysis reveals that small scale factor models out-perform large scale models in factor estimation and forecasting for high levels of cross-correlation across the idiosyncratic errors of...

In this paper we propose a new real-time forecasting model for euro area GDP growth, D€STINY, which attempts to bridge the existing gap in the literature between large- and small-scale dynamic factor models. By adopting a disaggregated modelling approach, D€STINY uses most of the information...

Much has been written about why economists failed to predict the latest financial and real crisis. Reading the recent literature, it seems that the crisis was so obvious that economists must have been blind when looking at data not to see it coming. In this paper, we analyze whether such claims...

We develop a twofold analysis of how the information provided by several economic indicators can be used in Markov-switching dynamic factor models to identify the business cycle turning points. First, we compare the performance of a fully non-linear multivariate specification (one-step approach)...

We show that the single-index dynamic factor model developed by Aruoba and Diebold (Am Econ Rev, 100:20-24, 2010) to construct an index of US business cycle conditions is also very useful for forecasting US GDP growth in real time. In addition, we adapt the model to include survey data and...

We propose a Markov-switching dynamic factor model to construct an index of global business cycle conditions, for performing short-term forecasts of quarterly world GDP growth in real time and computing real-time business cycle probabilities. To overcome the real-time forecasting challenges, the...