This paper considers the problem of forecasting in large macroeconomic panels using Bayesian model averaging. Practical methods for implementing Bayesian model averaging with factor models are described. These methods involve algorithms that simulate from the space defined by all possible...

Many structural break and regime-switching models have been used with macroeconomic and financial data. In this paper, we develop an extremely flexible parametric model that accommodates virtually any of these specifications—and does so in a simple way that allows for straightforward Bayesian...

This paper develops a growth model with land, housing services, and other goods that is capable of explaining a substantial portion of the movements in housing prices over the past forty years. Under certainty, the model exhibits a balanced aggregate growth, but with underlying sectoral change....

We review evidence on the Great Moderation together with evidence about volatility trends at the micro level to develop a potential explanation for the decline in aggregate volatility since the 1980s and its consequences. The key elements are declines in firm-level volatility and aggregate...