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Structural vector autoregressions with Markov switching

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  • Lanne, Markku
  • Lütkepohl, Helmut
  • Maciejowska, Katarzyna

Abstract

It is argued that in structural vector autoregressive (SVAR) analysis a Markov regime switching (MS) property can be exploited to identify shocks if the reduced form error covariance matrix varies across states. The model setup is formulated and discussed and it is shown how it can be used to test restrictions which are just-identifying in a standard structural vector autoregressive analysis. The approach is illustrated by two SVAR examples which have been reported in the literature and which have features that can be accommodated by the MS structure.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Economic Dynamics and Control.

Volume (Year): 34 (2010)
Issue (Month): 2 (February)
Pages: 121-131

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Handle: RePEc:eee:dyncon:v:34:y:2010:i:2:p:121-131

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Web page: http://www.elsevier.com/locate/jedc

Related research

Keywords: Cointegration Markov regime switching model Vector error correction model Structural vector autoregression;

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References

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Citations

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Cited by:
  1. Kohonen, Anssi, 2012. "On detection of volatility spillovers in simultaneously open stock markets," MPRA Paper 37504, University Library of Munich, Germany.
  2. Aleksei Netšunajev, 2013. "Reaction to technology shocks in Markov-switching structural VARs: identification via heteroskedasticity," Bank of Estonia Working Papers wp2012-6, Bank of Estonia, revised 03 Jan 2013.
  3. Hafedh Bouakez & Badye Omar Essid & Michel Normandin, 2010. "Stock Returns and Monetary Policy: Are There Any Ties ?," Cahiers de recherche 1026, CIRPEE.
  4. Dmitry Kulikov & Aleksei Netšunajev, 2013. "Identifying monetary policy shocks via heteroskedasticity: a Bayesian approach," Bank of Estonia Working Papers wp2013-9, Bank of Estonia, revised 09 Dec 2013.
  5. Alexander Kriwoluzky, 2009. "Matching Theory and Data: Bayesian Vector Autoregression and Dynamic Stochastic General Equilibrium Models," Economics Working Papers ECO2009/29, European University Institute.
  6. Guérin, Pierre & Maurin, Laurent & Mohr, Matthias, 2011. "Trend-cycle decomposition of output and euro area inflation forecasts: a real-time approach based on model combination," Working Paper Series 1384, European Central Bank.
  7. Helmut Lütkepohl, 2012. "Reducing Confidence Bands for Simulated Impulse Responses," Discussion Papers of DIW Berlin 1235, DIW Berlin, German Institute for Economic Research.
  8. Helmut Lütkepohl & Anton Velinov, 2014. "Structural Vector Autoregressions: Checking Identifying Long-run Restrictions via Heteroskedasticity," Discussion Papers of DIW Berlin 1356, DIW Berlin, German Institute for Economic Research.
  9. Helmut Lütkepohl & Aleksei Netsunajev, 2012. "Disentangling Demand and Supply Shocks in the Crude Oil Market: How to Check Sign Restrictions in Structural VARs," Discussion Papers of DIW Berlin 1195, DIW Berlin, German Institute for Economic Research.
  10. Kohonen, Anssi, 2012. "Transmission of Government Default Risk in the Eurozone," MPRA Paper 43823, University Library of Munich, Germany.
  11. Helmut Lütkepohl, 2012. "Identifying Structural Vector Autoregressions via Changes in Volatility," Discussion Papers of DIW Berlin 1259, DIW Berlin, German Institute for Economic Research.
  12. Kilian, Lutz, 2011. "Structural Vector Autoregressions," CEPR Discussion Papers 8515, C.E.P.R. Discussion Papers.
  13. Yukai Yang, 2014. "Testing Constancy of the Error Covariance Matrix in Vector Models against Parametric Alternatives using a Spectral Decomposition," CREATES Research Papers 2014-11, School of Economics and Management, University of Aarhus.
  14. Herwartz, Helmut, 2014. "Structural analysis with independent innovations," Center for European, Governance and Economic Development Research Discussion Papers 208, University of Goettingen, Department of Economics.
  15. Wenjuan Chen & Anton Velinov, 2012. "Do Japanese Stock Prices Reflect Macro Fundamentals?," SFB 649 Discussion Papers SFB649DP2012-037, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  16. Anton Velinov, 2013. "Can Stock Price Fundamentals Properly be Captured?: Using Markov Switching in Heteroskedasticity Models to Test Identification Schemes," Discussion Papers of DIW Berlin 1350, DIW Berlin, German Institute for Economic Research.
  17. Tamim Bayoumi & Trung Bui, 2012. "Global Bonding," IMF Working Papers 12/298, International Monetary Fund.

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