Testing for deterministic and stochastic cycles in macroeconomic time series
Abstract
In this paper we use a statistical procedure which is appropriate to test for deterministic and stochastic (stationary and nonstationary) cycles in macroeconomic time series. These tests have standard null and local limit distributions and are easy to apply to raw time series. Monte Carlo evidence shows that they perform relatively well in the case of functional misspecification in the cyclical structure of the series. As an example, we use this approach to test for the presence of cycles in US real GDP.(This abstract was borrowed from another version of this item.)
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Bibliographic Info
Article provided by Springer in its journal Empirica.
Volume (Year): 34 (2007)
Issue (Month): 2 (April)
Pages: 155-169
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Web page: http://www.springerlink.com/link.asp?id=100261
Related research
Keywords: Deterministic cycles; Stochastic cycles; Long memory; C22;Other versions of this item:
- Guglielmo Maria Caporale & Luis A. Gil-Alana, 2005. "Testing For Deterministic And Stochastic Cycles In Macroeconomic Time Series," Economics and Finance Discussion Papers 05-11, Economics and Finance Section, School of Social Sciences, Brunel University.
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
References
References listed on IDEASPlease report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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