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When do long-run identifying restrictions give reliable results?

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  • Jon Faust
  • Eric M. Leeper

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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File URL: http://www.federalreserve.gov/pubs/ifdp/1994/462/ifdp462.pdf
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Bibliographic Info

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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  1. Bayoumi, Tamim & Eichengreen, Barry, 1992. "Shocking Aspects of European Monetary Unification," CEPR Discussion Papers 643, C.E.P.R. Discussion Papers.
  2. Bayoumi, Tamim & Eichengreen, Barry, 1992. "Macroeconomic Adjustment Under Bretton Woods and the Post-Bretton-Woods Float: An Impulse-Response Analysis," Department of Economics, Working Paper Series qt4gf4d2hc, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
  3. Bayoumi, Tamim & Eichengreen, Barry, 1992. "Shocking Aspects of Monetary Unification," Department of Economics, Working Paper Series qt791143kp, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
  4. Ahmed, Shaghil & Ickes, Barry W. & Ping Wang & Byung Sam Yoo, 1993. "International Business Cycles," American Economic Review, American Economic Association, vol. 83(3), pages 335-59, June.
  5. 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.
  6. 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.
  7. King, Robert G. & Plosser, Charles I. & Stock, James H. & Watson, Mark W., 1991. "Stochastic Trends and Economic Fluctuations," American Economic Review, American Economic Association, vol. 81(4), pages 819-40, September.
  8. Christopher A. Sims, 1986. "Are forecasting models usable for policy analysis?," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Win, pages 2-16.
  9. Sims, Christopher A, 1980. "Comparison of Interwar and Postwar Business Cycles: Monetarism Reconsidered," American Economic Review, American Economic Association, vol. 70(2), pages 250-57, May.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
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