Asymmetric Cycles and Temporal Aggregation
The detection of nonlinearities could depend on the sampling frequency. Asymmetric monthly series may become symmetric when aggregated to quarterly or annual frequencies. We test against nonlinearity using the nonlinear autoregressive asymmetric moving average (ARasMA) model, which nests the linear ARMA model as a special case. Using monthly, quarterly, and annual Swedish unemployment series, we find support for symmetry/linearity in the annual series but not in the monthly and quarterly series. © 1999 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology
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|Date of creation:||1995|
|Date of revision:|
|Contact details of provider:|| Postal: UPPSALA UNIVERSITY, DEPARTMENT OF ECONOMICS, S-751 20 UPPSALA SWEDEN.|
Phone: + 46 18 471 25 00
Fax: + 46 18 471 14 78
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"European Unemployment: A Survey,"
Journal of Economic Literature,
American Economic Association, vol. 32(2), pages 573-619, June.
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"Business Cycle Asymmetry: A Deeper Look,"
85, Princeton, Department of Economics - Financial Research Center.
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- Wesley Clair Mitchell, 1927. "Introductory pages to "Business Cycles: The Problem and Its Setting"," NBER Chapters, in: Business Cycles: The Problem and Its Setting, pages -23 National Bureau of Economic Research, Inc.
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