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Long-run identifying restrictions on VARs within the AS-AD framework

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  • Pentecôte, J.-S.

Abstract

Bayoumi and Eichengreen’s (BE, 1994) article has been very influent in the empirics of the core-periphery view of fixed exchange rate agreements. They rely on the basic AS-AD macroeconomic model in order to identify supply and demand shocks through long-run restrictions in vector autoregressions. Doing this should enable one to assess the size of such disturbances and the asymmetry between countries. While reference is usually made to Blanchard and Quah (BQ, 1989), it is shown here how this factorization has been modified by BE and how the two resulting decomposition schemes can be linked. Contrary to BE’s premise, relaxing the assumption of shocks of equal size is not just a matter of scale. The empirical properties of the exchange regime are modified, especially as regards the correlation of shocks. Given the VAR setting used in the related studies, it is also established that zero-constraints on either instantaneous or long-run impulse responses provide identical results. An empirical assessment of the euro currency area over 1996-2008 illustrate these points. The recorded evidence suggests that non-zero restrictions imply slope coefficients of the AS and AD curves close to values derived from New-Keynesian models. b

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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 34660.

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Date of creation: 31 Oct 2010
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Handle: RePEc:pra:mprapa:34660

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Keywords: fixed exchange rates; core-periphery; long-run restrictions; structural VARs b;

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  1. Bayoumi, Tamim & Taylor, Mark P, 1995. "Macro-economic Shocks, the ERM, and Tri-polarity," The Review of Economics and Statistics, MIT Press, vol. 77(2), pages 321-31, May.
  2. Crowder, William J., 1995. "The dynamic effects of aggregate demand and supply disturbances: Another look," Economics Letters, Elsevier, vol. 49(3), pages 231-237, September.
  3. Blanchard, Olivier Jean & Quah, Danny, 1993. "The Dynamic Effects of Aggregate Demand and Supply Disturbances: Reply," American Economic Review, American Economic Association, vol. 83(3), pages 653-58, June.
  4. Jon Faust & Eric M. Leeper, 1994. "When do long-run identifying restrictions give reliable results?," International Finance Discussion Papers 462, Board of Governors of the Federal Reserve System (U.S.).
  5. Braun, Phillip A. & Mittnik, Stefan, 1993. "Misspecifications in vector autoregressions and their effects on impulse responses and variance decompositions," Journal of Econometrics, Elsevier, vol. 59(3), pages 319-341, October.
  6. Fidrmuc, Jarko & Korhonen, Iikka, 2006. "Meta-analysis of the business cycle correlation between the euro area and the CEECs," Journal of Comparative Economics, Elsevier, vol. 34(3), pages 518-537, September.
  7. Juan F. Rubio-Ramírez & Daniel F.Waggoner & Tao Zha, 2008. "Structural vector autoregressions: theory of identification and algorithms for inference," Working Paper 2008-18, Federal Reserve Bank of Atlanta.
  8. Ribba, Antonio, 1997. "A note on the equivalence of long-run and short-run identifying restrictions in cointegrated systems," Economics Letters, Elsevier, vol. 56(3), pages 273-276, November.
  9. Gamber, Edward N & Joutz, Frederick L, 1993. "The Dynamic Effects of Aggregate Demand and Supply Disturbances: Comment," American Economic Review, American Economic Association, vol. 83(5), pages 1387-93, December.
  10. Cover, James Peery & Enders, Walter & Hueng, C. James, 2006. "Using the Aggregate Demand-Aggregate Supply Model to Identify Structural Demand-Side and Supply-Side Shocks: Results Using a Bivariate VAR," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(3), pages 777-790, April.
  11. Brissimis, Sophocles N. & Skotida, Ifigeneia, 2008. "Optimal monetary policy in the euro area in the presence of heterogeneity," Journal of International Money and Finance, Elsevier, vol. 27(2), pages 209-226, March.
  12. Fisher, Lance A. & Huh, Hyeon-Seung & Summers, Peter M., 2000. "Structural Identification of Permanent Shocks in VEC Models: A Generalization," Journal of Macroeconomics, Elsevier, vol. 22(1), pages 53-68, January.
  13. Dupaigne, Martial & Feve, Patrick & Matheron, Julien, 2007. "Some analytics on bias in DSVARs," Economics Letters, Elsevier, vol. 97(1), pages 32-38, October.
  14. Cooley, Thomas F. & Dwyer, Mark, 1998. "Business cycle analysis without much theory A look at structural VARs," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 57-88.
  15. 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.
  16. Quah, Danny, 1995. "Misinterpreting the dynamic effects of aggregate demand and supply disturbances," Economics Letters, Elsevier, vol. 49(3), pages 247-250, September.
  17. Fisher, Lance A. & Huh, Hyeon-seung, 1999. "Weak exogeneity and long-run and contemporaneous identifying restrictions in VEC models," Economics Letters, Elsevier, vol. 63(2), pages 159-165, May.
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