Since the 1950s the Bureau of Economic Analysis (BEA) has grouped the states into eight regions based primarily on cross-sectional similarities in their socioeconomic characteristics. This is the most frequently used grouping of states in the U.S. for economic analysis. Since several recent...

Since the 1950s the Bureau of Economic analysis (BEA) has grouped the states into eight regions based primarily on cross-sectional similarities in their socioeconomic characteristics. This is the most frequently used grouping of states in the U.S. for economic analysis. Since several recent...

Vector-autoregression (VAR) forecast models have been developed for many state economies, including the three states in the Third Federal Reserve District--Pennsylvania, New Jersey, and Delaware. This paper extends that work by developing a Bayesian VAR forecast model for the Philadelphia...

When regional economists study the interaction of multi-state regions in the U.S., they typically use the regional divisions developed by the U.S. Bureau of the Census or the Bureau of Economic Analysis (BEA). The current census divisions were adopted in 1910 and divide the states into nine...

When regional economists study the interaction of multi-state regions in the U.S., they typically use the regional divisions developed by the U.S. Bureau of the Census or the Bureau of Economic Analysis (BEA). The current census divisions were adopted in 1910 and divide the states into nine...

In the late 1980s James Stock and Mark Watson developed an alternative coincident index for the U.S. economy. They used the Kalman filter to estimate a latent dynamic factor for the national economy and designated the common factor as the coincident index. This paper uses the Stock/Watson...