This paper develops a real business cycle model characterized by a large number of agents facing idiosyncratic employment shocks and borrowing constraints. In particular, I use numerical methods to study the statistical properties of aggregate variables in equilibrium under both complete and...

There is now considerable evidence that business cycle variation in output and employment in the U.S. differs in expansions and contractions. We present nonparametric evidence that asymmetries are strongest in durable goods manufacturing. In a Markov switching framework, we find two leading...

In this paper, we develop an analytical framework for the estimation of potential output and output gaps for the euro area combining multivariate filtering techniques with the production function approach. The advantage of this methodology lies in the fact that it combines a model based approach...

Monetary policy conducted in real time has to take into account the preliminary nature of recent national accounts data. Not only recent data, but also figures dating many years back are potentially subject to revisions. This means that there is a danger that an important part of the central...

The objective of this paper is to calculate, model, and forecast realized volatility using high-frequency stock-market index data. The approach differs from existing ones in several ways. First, it is shown that the decay of the serial dependence of high-frequency returns on the sampling...

This paper documents the out-of-sample forecasting accuracy of the New Keynesian Model for Canadian data. We repeatedly estimate the model over samples of increasing lengths, forecasting out-of-sample one to four quarters ahead at each step. We then compare these forecasts with those arising...

Abstract: This paper studies a simple model of output and inflation in the experimental laboratory. While the Rational Expectations Equilibrium (REE)predicts output and inflation to be white noise processes, output and inflation in experimental sessions display stable cyclical patterns. For...