Seasonal Misspecification in the Context of Fractionally Integrated Univariate Time Series
We investigate in this article the implications that seasonal misspecificationproduces in the context of fractionally integrated models. We use a versionof the tests of Robinson (1994) that permits us to test both deterministic andstochastic seasonality. Several Monte Carlo experiments are conducted toexamine the power of the tests in the context of seasonal misspecificationand, an empirical application, using data of the U.S. monetary aggregate, isalso carried out at the end of the article. Copyright Kluwer Academic Publishers 2003
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Volume (Year): 22 (2003)
Issue (Month): 1 (August)
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References listed on IDEAS
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- Gil-Alana, L. & Robinson, P.M., 1998.
"Testing of Seasonal Fractional Integration in U.K. and Japanese Consumption and Income,"
Economics Working Papers
eco98/20, European University Institute.
- L. A. Gil-Alana & P. M. Robinson, 2001. "Testing of seasonal fractional integration in UK and Japanese consumption and income," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(2), pages 95-114.
- L A Gil-Alana & Peter M. Robinson, 2000. "Testing of seasonal fractional integration in UK and Japanese consumption and income," LSE Research Online Documents on Economics 2051, London School of Economics and Political Science, LSE Library.
- Carlin, J. B. & Dempster, A. P. & Jonas, A. B., 1985. "On models and methods for Bayesian time series analysis," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 67-90.
- Gil-Alana, L. A. & Robinson, P. M., 1997. "Testing of unit root and other nonstationary hypotheses in macroeconomic time series," Journal of Econometrics, Elsevier, vol. 80(2), pages 241-268, October.
- Gil-Alana, Luis A., 1999. "Testing fractional integration with monthly data," Economic Modelling, Elsevier, vol. 16(4), pages 613-629, December.
- Ray, Bonnie K., 1993. "Long-range forecasting of IBM product revenues using a seasonal fractionally differenced ARMA model," International Journal of Forecasting, Elsevier, vol. 9(2), pages 255-269, August.
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