A Time Series Analysis Of Disaggregate U.S. Unemployment
AbstractThis paper addresses an issue that has been neglected in the vast array of literature focusing on the determination of and differences in regional unemployment rates. The issue of whether causal relationships exist between disaggregated unemployment rates is considered. A multivariate vector autoregression model is estimated separately for unemployment rates of ten states and nine regions. The resulting impulse response functions indicate that significant causal relationships exist between unemployment rates of the states and regions analyzed. The results suggest that a mechanism allowing for causal relationships between disaggregate unemployment rates should be incorporated into future analyses.
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Bibliographic InfoPaper provided by Cornell - Department of Economics in its series Papers with number 412.
Length: 23 pages
Date of creation: 1988
Date of revision:
Contact details of provider:
Postal: CORNELL UNIVERSITY, DEPARTMENT OF ECONOMICS, ITHACA NEW YORK 14853 U.S.A..
Web page: http://economics.cornell.edu/
More information through EDIRC
unemployment ; macroeconomics;
Other versions of this item:
- Hotchkiss, Julie L., 1991. "A time series analysis of disaggregate U.S. unemployment," Journal of Macroeconomics, Elsevier, vol. 13(4), pages 701-711.
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