Nonlinearities and outliers: robust specification of STAR models
AbstractOutliers and nonlinearity may easily be mistaken. This paper uses Monte Carlo methods to examine and compare the behavior of two competing specification procedures for Smooth Transition AutoRegressive [STAR] models under various different circumstances (linear and nonlinear data generating processes, with and without outlier contamination). The extensive simulation evidence demonstrates that the use of outlier-robust variants of the linearity tests which are involved leads to procedures with more desirable properties. An application to several real exchange rate series illustrates the potential usefulness of the robust specification procedures,especially in case one is not certain whether or not aberrant observations are present.
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Bibliographic InfoPaper provided by Erasmus University Rotterdam, Econometric Institute in its series Econometric Institute Report with number EI 9832.
Date of creation: 10 Aug 1998
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nonlinearity; Monte Carlo methods; Outliers; Smooth Transition AutoRegressive models;
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- Van Dijk, Dick & Franses, Philip Hans & Lucas, Andre, 1999.
"Testing for Smooth Transition Nonlinearity in the Presence of Outliers,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 17(2), pages 217-35, April.
- Dijk, D.J.C. van & Franses, Ph.H.B.F. & Lucas, A., 1996. "Testing for Smooth Transition Nonlinearity in the Presence of Outliers," Econometric Institute Report EI 9622-/A, Erasmus University Rotterdam, Econometric Institute.
- Samira Haddou, 2011. "Is Tunisian Real Effective Exchange Rate Mean Reverting? Evidence from Nonlinear Models," Transition Studies Review, Springer, vol. 18(1), pages 164-178, September.
- López Villavicencio, Antonia, 2008. "Nonlinearities or outliers in real exchange rates?," Economic Modelling, Elsevier, vol. 25(4), pages 714-730, July.
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