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Asymmetric time series and temporal aggregation
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Economics.
1999 (English)In: Review of Economics and Statistics, ISSN 0034-6535, E-ISSN 1530-9142, Vol. 81, no 2, 341-344 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
1999. Vol. 81, no 2, 341-344 p.
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:umu:diva-64762DOI: 10.1162/003465399558120OAI: oai:DiVA.org:umu-64762DiVA: diva2:602693
Available from: 2013-02-02 Created: 2013-02-02 Last updated: 2017-12-06Bibliographically approved

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Brännäs, Kurt

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