Large shocks, small shocks, and economic fluctuations: outliers in macroeconomic times series
We analyse fifteen post-World War II US macroeconomic time series using a modified outlier identification procedure based on Tsay (1988a). "Large shocks" appear to be present in all the series we examined. Furthermore, there are three basic outlier patterns: (1) outliers seem to be associated with business cycles, (2) outliers are clustered together--both over time and across series, (3) there appears to be a dichotomy between outlier behaviour of real versus nominal series. Also, after controlling for outliers, much of the evidence of non-linearity in many of the time series is eliminated. Copyright 1994 by John Wiley & Sons, Ltd.
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|Date of creation:||1991|
|Note:||Published as: Balke, Nathan S. and Thomas B. Fomby (1994), "Large Shocks, Small Shocks, and Economic Fluctuations: Outliers in Macroeconomic Times Series," Journal of Applied Econometrics 9 (2): 181-200.|
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- Scheinkman, Jose A & LeBaron, Blake, 1989. "Nonlinear Dynamics and Stock Returns," The Journal of Business, University of Chicago Press, vol. 62(3), pages 311-337, July.
- Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
- Brock, William A. & Sayers, Chera L., 1988. "Is the business cycle characterized by deterministic chaos?," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 71-90, July.
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