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Journal of Urban Economics
Article . 2009 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
SSRN Electronic Journal
Article . 2008 . Peer-reviewed
Data sources: Crossref
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States and the Business Cycle

Authors: Michael T. Owyang; David E. Rapach; Howard J. Wall;

States and the Business Cycle

Abstract

Abstract We model the US business cycle using a dynamic factor model that identifies common factors underlying fluctuations in state-level income and employment growth. We find three such common factors, each of which is associated with a set of factor loadings that indicate the extent to which each state's economy is related to the national business cycle. According to the factor loadings, there is a great deal of heterogeneity in the nature of the links between state and national economies. In addition to exhibiting geographic patterns, the closeness of state economies to the national business cycle is related not only to differences in industry mix but also to non-industry variables such as agglomeration and neighbor effects. Finally, we find that the common factors tend to explain large proportions of the total variability in state-level business cycles, although, again, there is a great deal of cross-state heterogeneity.

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Keywords

Business cycles

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
43
Top 10%
Top 10%
Top 10%
bronze