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Structural Vector Autoregressions: Checking Identifying Long-run Restrictions via Heteroskedasticity

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  • Helmut Lütkepohl
  • Anton Velinov

Abstract

Long-run restrictions have been used extensively for identifying structural shocks in vector autoregressive (VAR) analysis. Such restrictions are typically just-identifying but can be checked by utilizing changes in volatility. This paper reviews and contrasts the volatility models that have been used for this purpose. Three main approaches have been used, exogenously generated changes in the unconditional residual covariance matrix, changing volatility modelled by a Markov switching mechanism and multivariate generalized autoregressive conditional heteroskedasticity (GARCH) models. Using changes in volatility for checking long-run identifying restrictions in structural VAR analysis is illustrated by reconsidering models for identifying fundamental components of stock prices.

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Bibliographic Info

Paper provided by DIW Berlin, German Institute for Economic Research in its series Discussion Papers of DIW Berlin with number 1356.

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Length: 28 p.
Date of creation: 2014
Date of revision:
Handle: RePEc:diw:diwwpp:dp1356

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Keywords: Vector autoregression; heteroskedasticity; vector GARCH; conditional heteroskedasticity; Markov switching model;

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  1. Robert G. King & Charles I. Plosser & James H. Stock & Mark W. Watson, 1991. "Stochastic trends and economic fluctuations," Working Paper Series, Macroeconomic Issues, Federal Reserve Bank of Chicago 91-4, Federal Reserve Bank of Chicago.
  2. Markku Lanne & Helmut Luetkepohl & Katarzyna Maciejowska, 2009. "Structural Vector Autoregressions with Markov Switching," Economics Working Papers, European University Institute ECO2009/06, European University Institute.
  3. Markku Lanne & Helmut Luetkepohl, 2006. "Structural Vector Autoregressions with Nonnormal Residuals," CESifo Working Paper Series 1651, CESifo Group Munich.
  4. I. D. Vrontos & P. Dellaportas & D. N. Politis, 2003. "A full-factor multivariate GARCH model," Econometrics Journal, Royal Economic Society, Royal Economic Society, vol. 6(2), pages 312-334, December.
  5. Roy van der Weide, 2002. "GO-GARCH: a multivariate generalized orthogonal GARCH model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., John Wiley & Sons, Ltd., vol. 17(5), pages 549-564.
  6. Sims, Christopher A. & Waggoner, Daniel F. & Zha, Tao, 2008. "Methods for inference in large multiple-equation Markov-switching models," Journal of Econometrics, Elsevier, Elsevier, vol. 146(2), pages 255-274, October.
  7. GONÇALVES, Silvia & KILIAN, Lutz, 2003. "Bootstrapping Autoregressions with Conditional Heteroskedasticity of Unknown Form," Cahiers de recherche, Universite de Montreal, Departement de sciences economiques 2003-01, Universite de Montreal, Departement de sciences economiques.
  8. Christopher A. Sims & Tao Zha, 2005. "Were There Regime Switches in U.S. Monetary Policy?," Working Papers, Princeton University, Department of Economics, Center for Economic Policy Studies. 92, Princeton University, Department of Economics, Center for Economic Policy Studies..
  9. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, American Economic Association, vol. 79(4), pages 655-73, September.
  10. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, Oxford University Press, number 9780198774501, October.
  11. Fisher, Lance A. & Huh, Hyeon-Seung & Summers, Peter M., 2000. "Structural Identification of Permanent Shocks in VEC Models: A Generalization," Journal of Macroeconomics, Elsevier, Elsevier, vol. 22(1), pages 53-68, January.
  12. Sentana, E. & Fiorentini, G., 1997. "Identification, Estimation and Testing of Conditionally Heteroskedastic Factor Model," Papers, Centro de Estudios Monetarios Y Financieros- 9709, Centro de Estudios Monetarios Y Financieros-.
  13. Weber, Enzo, 2009. "Structural Conditional Correlation," University of Regensburg Working Papers in Business, Economics and Management Information Systems 434, University of Regensburg, Department of Economics.
  14. Roberto Rigobon, 2003. "Identification Through Heteroskedasticity," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 777-792, November.
  15. Michel Normandin & Louis Phaneuf, 2003. "Monetary Policy Shocks: Testing Identification Conditions Under Time-Varying Conditional Volatility," Cahiers de recherche, CIRPEE 0337, CIRPEE.
  16. Markku Lanne & Helmut Lütkepohl, 2008. "Identifying Monetary Policy Shocks via Changes in Volatility," Journal of Money, Credit and Banking, Blackwell Publishing, Blackwell Publishing, vol. 40(6), pages 1131-1149, 09.
  17. Juan Francisco Rubio-Ramírez & Daniel Waggoner & Tao Zha, 2005. "Markov-switching structural vector autoregressions: theory and application," Working Paper, Federal Reserve Bank of Atlanta 2005-27, Federal Reserve Bank of Atlanta.
  18. Zacharias Psaradakis & Nicola Spagnolo, 2003. "On The Determination Of The Number Of Regimes In Markov-Switching Autoregressive Models," Journal of Time Series Analysis, Wiley Blackwell, Wiley Blackwell, vol. 24(2), pages 237-252, 03.
  19. Markku Lanne & Helmut Luetkepohl, 2008. "A Statistical Comparison of Alternative Identification Schemes for Monetary Policy Shocks," Economics Working Papers, European University Institute ECO2008/23, European University Institute.
  20. Ehrmann, Michael & Fratzscher, Marcel & Rigobon, Roberto, 2005. "Stocks, bonds, money markets and exchange rates: measuring international financial transmission," Working Paper Series, European Central Bank 0452, European Central Bank.
  21. Roberto Rigobon & Brian Sack, 2002. "The impact of monetary policy on asset prices," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.) 2002-4, Board of Governors of the Federal Reserve System (U.S.).
  22. Bouakez, Hafedh & Normandin, Michel, 2010. "Fluctuations in the foreign exchange market: How important are monetary policy shocks?," Journal of International Economics, Elsevier, Elsevier, vol. 81(1), pages 139-153, May.
  23. Roberto Rigobon & Brian Sack, 2003. "Measuring The Reaction Of Monetary Policy To The Stock Market," The Quarterly Journal of Economics, MIT Press, MIT Press, vol. 118(2), pages 639-669, May.
  24. Pagan, A.R. & Pesaran, M. Hashem, 2008. "Econometric analysis of structural systems with permanent and transitory shocks," Journal of Economic Dynamics and Control, Elsevier, Elsevier, vol. 32(10), pages 3376-3395, October.
  25. Binswanger, Mathias, 2004. "How do stock prices respond to fundamental shocks?," Finance Research Letters, Elsevier, Elsevier, vol. 1(2), pages 90-99, June.
  26. Garcia, Rene, 1998. "Asymptotic Null Distribution of the Likelihood Ratio Test in Markov Switching Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(3), pages 763-88, August.
  27. Rapach, David E., 2001. "Macro shocks and real stock prices," Journal of Economics and Business, Elsevier, Elsevier, vol. 53(1), pages 5-26.
  28. Zacharias Psaradakis & Nicola Spagnolo, 2006. "Joint Determination of the State Dimension and Autoregressive Order for Models with Markov Regime Switching," Journal of Time Series Analysis, Wiley Blackwell, Wiley Blackwell, vol. 27(5), pages 753-766, 09.
  29. Hansen, Bruce E, 1992. "The Likelihood Ratio Test under Nonstandard Conditions: Testing the Markov Switching Model of GNP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., John Wiley & Sons, Ltd., vol. 7(S), pages S61-82, Suppl. De.
  30. Gonzalo, Jesus & Ng, Serena, 2001. "A systematic framework for analyzing the dynamic effects of permanent and transitory shocks," Journal of Economic Dynamics and Control, Elsevier, Elsevier, vol. 25(10), pages 1527-1546, October.
  31. Lance A. Fisher & Hyeon-seung Huh, 2014. "Identification Methods In Vector-Error Correction Models: Equivalence Results," Journal of Economic Surveys, Wiley Blackwell, Wiley Blackwell, vol. 28(1), pages 1-16, 02.
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Cited by:
  1. Anton Velinov & Wenjuan Chen, 2014. "Are There Bubbles in Stock Prices? Testing for Fundamental Shocks," Discussion Papers of DIW Berlin 1375, DIW Berlin, German Institute for Economic Research.

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