Stochastic level shifts and outliers and the dynamics of oil price movements
Oil prices clearly play an important role in the macroeconomy. The dynamics of oil prices have, however, been difficult to pin down because of the frequent occurrence of large shocks. In this paper, we propose a time series model with heavy-tailed disturbances to analyze the dynamics of the oil price. The model has the form of a generalized local linear trend, and we show that it successfully captures outliers and level shifts as empirical regularities in the oil price, including known historical price shocks. Further, the results of a forecast exercise are given, and we study extensions that examine the effect of the GDP cycle on the oil price.
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- Sylvain Leduc & Keith Sill, 2001.
"A quantitative analysis of oil-price shocks, systematic monetary policy, and economic downturns,"
01-9, Federal Reserve Bank of Philadelphia.
- Leduc, Sylvain & Sill, Keith, 2004. "A quantitative analysis of oil-price shocks, systematic monetary policy, and economic downturns," Journal of Monetary Economics, Elsevier, vol. 51(4), pages 781-808, May.
- Hamilton, James D., 2003.
"What is an oil shock?,"
Journal of Econometrics,
Elsevier, vol. 113(2), pages 363-398, April.
- Andrew C. Harvey & Thomas M. Trimbur, 2003.
"General Model-Based Filters for Extracting Cycles and Trends in Economic Time Series,"
The Review of Economics and Statistics,
MIT Press, vol. 85(2), pages 244-255, May.
- Harvey, A.C. & Trimbur, T.M., 2001. "General Model-based Filters for Extracting Cycles and Trends in Economic Time Series," Cambridge Working Papers in Economics 0113, Faculty of Economics, University of Cambridge.
- Raymond, Jennie E & Rich, Robert W, 1997. "Oil and the Macroeconomy: A Markov State-Switching Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(2), pages 193-213, May.
- Robert B. Barsky & Lutz Kilian, 2004.
"Oil and the Macroeconomy Since the 1970s,"
Journal of Economic Perspectives,
American Economic Association, vol. 18(4), pages 115-134, Fall.
- Bai, Jushan, 1997.
"Estimating Multiple Breaks One at a Time,"
Cambridge University Press, vol. 13(03), pages 315-352, June.
- Koopman, S.J.M. & Shephard, N. & Doornik, J.A., 1998.
"Statistical Algorithms for Models in State Space Using SsfPack 2.2,"
1998-141, Tilburg University, Center for Economic Research.
- Siem Jan Koopman & Neil Shephard & Jurgen A. Doornik, 1999. "Statistical algorithms for models in state space using SsfPack 2.2," Econometrics Journal, Royal Economic Society, vol. 2(1), pages 107-160.
- Neil Shephard & Jurgen Doornik & Siem Jan Koopman, 1998. "Statistical algorithms for models in state space using SsfPack 2.2," Economics Series Working Papers 1998-W06, University of Oxford, Department of Economics.
- Durbin, James & Koopman, Siem Jan, 2001.
"Time Series Analysis by State Space Methods,"
Oxford University Press, number 9780198523543, June.
- Tom Doan, . "SEASONALDLM: RATS procedure to create the matrices for the seasonal component of a DLM," Statistical Software Components RTS00251, Boston College Department of Economics.
- Thomas M. Trimbur, 2006. "Properties of higher order stochastic cycles," Journal of Time Series Analysis, Wiley Blackwell, vol. 27(1), pages 1-17, 01.
- Harvey, Andrew C. & Trimbur, Thomas M. & Van Dijk, Herman K., 2007.
"Trends and cycles in economic time series: A Bayesian approach,"
Journal of Econometrics,
Elsevier, vol. 140(2), pages 618-649, October.
- Harvey, A.C. & Trimbur, T.M. & van Dijk, H.K., 2005. "Trends and cycles in economic time series: A Bayesian approach," Econometric Institute Research Papers EI 2005-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
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