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Author:Crone, Theodore M. 

Journal Article
What a new set of indexes tells us about state and national business cycles

Ted Crone presents information on a recently constructed set of coincident indexes for the 50 states. These indexes can be used to define business cycles at the state level and can tell us how business cycles and the overall patterns of growth have differed among the states.
Business Review , Issue Q1 , Pages 11-24

Journal Article
Changing tides for North Atlantic ports

Business Review , Issue Jan/Feb , Pages 15-26

Working Paper
A Bayesian VAR forecasting model for the Philadelphia Metropolitan Area

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 metropolitan area and the city of Philadelphia.
Working Papers , Paper 99-7

Journal Article
The long and the short of it: recent trends and cycles in the Third District states

Most discussions of business cycles focus on the national economy. But regional cycles are also important, and they can vary significantly from one region to another. Analysis of regional cycles can help businesses plan investments and project sales, among other things. A look at the economies of the Third District states - Pennsylvania, New Jersey, and Delaware -illustrates how trends and cycles can differ even among neighboring states. In "The Long and the Short of It: Recent Trends and Cycles in the Third District States," Ted Crone traces the historical patterns of the three states' ...
Business Review , Issue Q3 , Pages 29-37

Working Paper
An alternative definition of economic regions in the U.S. based on similarities in state business cycles

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 studies concentrate on similarities and differences in regional business cycles, this paper groups states into regions based not on a broad set of socioeconomic characteristics but on the similarities in their business cycles. The analysis makes use of a consistent set of coincident indexes estimated from ...
Working Papers , Paper 03-23

Journal Article
Where have all the factory jobs gone - and why?

Over the past 30 years, the three states of the Third Federal Reserve District have lost more than one-third of their manufacturing jobs. And that job loss has accelerated over the past 15 years. Despite this, the region's manufacturing output has expanded over the same period, although much more slowly than the nation's. Why has the region's manufacturing sector lagged behind? In this article, Ted Crone looks at shifts in markets and differences in costs as possible culprits.
Business Review , Issue May , Pages 3-18

Journal Article
Making money in the housing market: is there a sure-fire scheme?

Business Review , Issue Mar , Pages 19-31

Journal Article
The aging of America: impacts on the marketplace and workplace

Business Review , Issue May , Pages 3-13

Working Paper
Consistent economic indexes for the 50 states.

In the late 1980s James Stock and Mark Watson developed for the U.S. economy an alternative coincident index to the one now published by the Conference Board. 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 methodology to estimate a consistent set of coincident indexes for the 50 states. These indexes provide researchers with a comprehensive monthly measure of economic activity that can be used to examine a number of state and regional issues.
Working Papers , Paper 04-9

Working Paper
Vector-autoregression forecast models for the Third District states

Working Papers , Paper 92-19

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