Referenced Items are not available for this document.
Business cycle study demands simultaneous investigation of several economic indicators. The state space formulation is adopted here for analyzing multiple time series data to this end, and a neural network is employed to characterize their common growth dynamics. For demonstration, four key variables for the USA are considered, viz., sales, production, unemployment and personal income. Their monthly data over 1965-1989 are examined. The analysis encompasses the identification of the business cycle turning points, i.e., the dates of recessions
Published in:
Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on
(Volume:3
)
Date of Conference: 2-5 Oct 1994
- Page(s):
- 2437 - 2442 vol.3
- Meeting Date :
- 02 Oct 1994-05 Oct 1994
- Print ISBN:
- 0-7803-2129-4
- INSPEC Accession Number:
- 4980400
- Conference Location :
- San Antonio, TX
- Digital Object Identifier :
- 10.1109/ICSMC.1994.400232
- Product Type:
- Conference Publications
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