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|
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- Wesley Clair Mitchell, 1927. "Business Cycles: The Problem and Its Setting," NBER Books, National Bureau of Economic Research, Inc, number mitc27-1, December.
- Daniel E. Sichel, 1989.
"Business cycle asymmetry: a deeper look,"
Working Paper Series / Economic Activity Section
93, Board of Governors of the Federal Reserve System (U.S.).
- C Bean, 1992.
"European Unemployment: A Survey,"
CEP Discussion Papers
dp0071, Centre for Economic Performance, LSE.
- 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.
- Bentolila, Samuel & Bertola, Giuseppe, 1990. "Firing Costs and Labour Demand: How Bad Is Eurosclerosis?," Review of Economic Studies, Wiley Blackwell, vol. 57(3), pages 381-402, July.
- Westlund, Anders H & Ohlen, Sven, 1991. "On Testing for Symmetry in Business Cycles," Empirical Economics, Springer, vol. 16(4), pages 479-502.
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