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...

We examine the relationship between human capital and economic activity in U.S. metropolitan areas, extending the literature in two ways. First, we utilize new data on metropolitan area GDP to measure economic activity. Results show that a one-percentage-point increase in the proportion of...

This paper examines differences in the skill content of work throughout the United States, ranging from densely populated city centers to isolated and sparsely populated rural areas. To do so, we classify detailed geographic areas into categories along the entire urban-rural hierarchy. An...

We investigate whether the degree production and research and development (R&D) activities of colleges and universities are related to the amount and types of human capital present in the metropolitan areas where the institutions are located. We find that degree production has only a small...