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Shocking Escapes

Author Info

Listed author(s):
  • Bruce McGough

Abstract

Sargent's (1999) model of inflation is amended to include real oil prices and used to study the impact of exogenous supply shocks on the inflation time-series. We analyse whether these shocks can trigger escape-like episodes. We consider unobserved permanent shocks to the natural rate of unemployment and observed permanent shocks to the mean real oil price. Favourable shocks to unemployment decrease the time to first escape; that is, escapes tend to occur much sooner in the presence of these shocks. Shocks to the mean real oil price cause the economy to move quickly to its new equilibrium. Copyright 2006 Royal Economic Society.

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File URL: http://www.onid.orst.edu/~mcgoughb/shockingescapessent.pdf
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Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 2003 with number 294.

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Date of creation: 01 Aug 2003
Handle: RePEc:sce:scecf3:294
Contact details of provider: Web page: http://comp-econ.org/
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Keywords: Supply Shocks; Adaptive Learning; Self-Confirming Equilibrium; Mean Dynamics; Escape Route;

Other versions of this item:

Find related papers by JEL classification:
  • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
  • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
  • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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  1. Williams, Noah, 2004. "Small noise asymptotics for a stochastic growth model," Journal of Economic Theory, Elsevier, vol. 119(2), pages 271-298, December.
  2. Anderson, Evan W. & McGrattan, Ellen R. & Hansen, Lars Peter & Sargent, Thomas J., 1996. "Mechanics of forming and estimating dynamic linear economies," Handbook of Computational Economics,in: H. M. Amman & D. A. Kendrick & J. Rust (ed.), Handbook of Computational Economics, edition 1, volume 1, chapter 4, pages 171-252 Elsevier.
  3. Thomas Sargent & Noah Williams & Tao Zha, 2009. "The Conquest of South American Inflation," Journal of Political Economy, University of Chicago Press, vol. 117(2), pages 211-256, 04.
  4. In-Koo Cho & Noah Williams & Thomas J. Sargent, 2002. "Escaping Nash Inflation," Review of Economic Studies, Oxford University Press, vol. 69(1), pages 1-40.
  5. Song Chen, 2000. "Probability Density Function Estimation Using Gamma Kernels," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 52(3), pages 471-480, September.
  6. Hans M. Amman & David A. Kendrick, . "Computational Economics," Online economics textbooks, SUNY-Oswego, Department of Economics, number comp1.
  7. Kydland, Finn E & Prescott, Edward C, 1977. "Rules Rather Than Discretion: The Inconsistency of Optimal Plans," Journal of Political Economy, University of Chicago Press, vol. 85(3), pages 473-491, June.
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