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When do long-run identifying restrictions give reliable results?

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Author Info
Jon Faust
Eric M. Leeper

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Abstract

Many recent papers have tried to identify behavioral disturbances in vector autoregressions (VAR's) by imposing restrictions on the long-run effects of shocks. This paper argues that this approach will support reliable struc­tured inferences only if the underlying economy satisfies strong restrictions. Absent restrictions linking long-run and short-run dynamics, every decompo­sition of a VAR is essentially equally consistent with any long-run restriction. Further, dynamic common factor restrictions must hold if the scheme is to work properly in small models estimated using time-aggregated data. The paper illustrates possible consequences of failure of these assumptions using bivariate models to identify aggregate supply and demand disturbances.

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Paper provided by Board of Governors of the Federal Reserve System (U.S.) in its series International Finance Discussion Papers with number 462.

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Date of creation: 1994
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Handle: RePEc:fip:fedgif:462

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Keywords: Econometrics;

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Ahmed, S. & Ickes, B. & Wang, P. & Yoo, S., 1989. "International Business Cycles," Papers 7-89-4, Pennsylvania State - Department of Economics.
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  2. Lastrapes, William D. & Selgin, George, 1995. "The liquidity effect: Identifying short-run interest rate dynamics using long-run restrictions," Journal of Macroeconomics, Elsevier, vol. 17(3), pages 387-404. [Downloadable!] (restricted)
  3. Novales, Alfonso, 1990. "Solving Nonlinear Rational Expectations Models: A Stochastic Equilibrium Model of Interest Rates," Econometrica, Econometric Society, vol. 58(1), pages 93-111, January. [Downloadable!] (restricted)
  4. Hendry, David F., 1992. "An econometric analysis of TV advertising expenditure in the United Kingdom," Journal of Policy Modeling, Elsevier, vol. 14(3), pages 281-311, June. [Downloadable!] (restricted)
  5. Hendry, David F & Mizon, Grayham E, 1978. "Serial Correlation as a Convenient Simplification, not a Nuisance: A Comment on a Study of the Demand for Money by the Bank of England," Economic Journal, Royal Economic Society, vol. 88(351), pages 549-63, September. [Downloadable!] (restricted)
  6. Bayoumi, Tamim & Eichengreen, Barry, 1992. "Macroeconomic Adjustment Under Bretton Woods and the Post-Bretton-Woods Float: An Impulse-Response Analysis," CEPR Discussion Papers 729, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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  7. Bayoumi, Tamim & Eichengreen, Barry, 1992. "Shocking Aspects of European Monetary Unification," CEPR Discussion Papers 643, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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  8. Rogers, J.H. & Wang, P., 1990. "Sources of Fluctuations in Relative Prices: Evidence from High Inflation Countries," Papers 12-90-2, Pennsylvania State - Department of Economics.
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  9. Lippi, Marco & Reichlin, Lucrezia, 1993. "The Dynamic Effects of Aggregate Demand and Supply Disturbances: Comment," American Economic Review, American Economic Association, vol. 83(3), pages 644-52, June. [Downloadable!] (restricted)
  10. Christopher A. Sims, 1980. "Comparison of Interwar and Postwar Business Cycles: Monetarism Reconsidered," NBER Working Papers 0430, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  11. Robert G. King & Charles I. Plosser & James H. Stock & Mark W. Watson, 1992. "Stochastic Trends and Economic Fluctuations," NBER Working Papers 2229, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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