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Cointegration Analysis of Seasonal Time Series

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Author Info
Franses, Philip Hans
McAleer, Michael

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Abstract

This paper reviews various recent approaches to cointegration analysis of seasonal time series. In addition to the usual decisions concerning data transformations and univariate time series properties, it is necessary to decide how seasonal variation is included in the multivariate model and how standard cointegration methods should accordingly be modified. Seasonal cointegration and periodic cointegration methods are discussed, as are some of their recent refinements. An overview of further research topics is also provided. Copyright 1998 by Blackwell Publishers Ltd

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Publisher Info
Article provided by Blackwell Publishing in its journal Journal of Economic Surveys.

Volume (Year): 12 (1998)
Issue (Month): 5 (December)
Pages: 651-78
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Handle: RePEc:bla:jecsur:v:12:y:1998:i:5:p:651-78

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  1. Fabio Busetti, 2006. "Tests of seasonal integration and cointegration in multivariate unobserved component models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(4), pages 419-438. [Downloadable!]
    Other versions:
  2. Cubadda, Gianluca & Omtzigt, Pieter, 2003. "Small Sample Improvements in the Statistical Analysis of Seasonally Cointegrated Systems," Economics & Statistics Discussion Papers esdp03012, University of Molise, Dept. SEGeS. [Downloadable!]
    Other versions:
  3. Olivier Darné, 2003. "Maximum likelihood seasonal cointegration tests for daily data," Economics Bulletin, Economics Bulletin, vol. 3(18), pages 1-8. [Downloadable!]
  4. Jan Marc Berk & Gerbert Hebbink, 2006. "The anchoring of European inflation expectations," DNB Working Papers 116, Netherlands Central Bank, Research Department. [Downloadable!]
  5. Philip Kostov & John Lingard, 2005. "Seasonally specific model analysis of UK cereals prices," Econometrics 0507014, EconWPA. [Downloadable!]
  6. Peter C.B. Phillips & Zhijie Xiao, 1998. "A Primer on Unit Root Testing," Cowles Foundation Discussion Papers 1189, Cowles Foundation, Yale University. [Downloadable!]
    Other versions:
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