Outliers in eleven Finnish macroeconomic time series
Outliers are detected from eleven monthly Finnish macroeconomic time series (from 1922 to 1996), and underlying reasons for the detected outliers suggested. Outliers are found in all of the series. The detected outliers seem to cluster together, both within and across series. Some of the detected outliers are also highly influential with respect to some nonlinearity tests, and the results can change in either direction (from significant nonlinearity to non-significant, or vice versa) after the outliers are taken into account. Mostly, however, the evidence for nonlinearity is reduced after the outliers are taken into account.
Volume (Year): 14 (2001)
Issue (Month): 1 (Spring)
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- Franses, Philip Hans & Haldrup, Niels, 1994. "The Effects of Additive Outliers on Tests for Unit Roots and Cointegration," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(4), pages 471-478, October.
- 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 217-235, April.
- van Dijk, D.J.C. & Franses, Ph.H.B.F. & Lucas, A., 1996. "Testing for Smooth Transition Nonlinearity in the Presence of Outliers," Econometric Institute Research Papers EI 9622-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Ledolter, Johannes, 1989. "The effect of additive outliers on the forecasts from ARIMA models," International Journal of Forecasting, Elsevier, vol. 5(2), pages 231-240.
- Hoek, Henk & Lucas, Andre & van Dijk, Herman K., 1995. "Classical and Bayesian aspects of robust unit root inference," Journal of Econometrics, Elsevier, vol. 69(1), pages 27-59, September.
- Chen, Cathy W. S., 1997. "Detection of additive outliers in bilinear time series," Computational Statistics & Data Analysis, Elsevier, vol. 24(3), pages 283-294, May.
- Weiss, Andrew A, 1986. "ARCH and Bilinear Time Series Models: Comparison and Combination," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 59-70, January.
- Balke, Nathan S. & Fomby, Thomas B., 1991. "Shifting trends, segmented trends, and infrequent permanent shocks," Journal of Monetary Economics, Elsevier, vol. 28(1), pages 61-85, August.
- Balke, Nathan S, 1993. "Detecting Level Shifts in Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(1), pages 81-92, January.
- Shinichi Sakata & Halbert White, 1998. "High Breakdown Point Conditional Dispersion Estimation with Application to S&P 500 Daily Returns Volatility," Econometrica, Econometric Society, vol. 66(3), pages 529-568, May. Full references (including those not matched with items on IDEAS)