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Does Bayesian Shrinkage Help to Better Reflect What Happened during the Subprime Crisis?

  • Olfa Kaabia
  • Ilyes Abid
  • Khaled Guesmi

We study the contagion effects of a U.S. housing shock on OECD countries over the period of the subprime crisis. Considering a large database containing national macroeconomic, financial, and trade dynamic variables for 17 OECD countries, we evaluate forecasting accuracy, and perform a structural analysis exercise using VAR models of different sizes: a standard VAR estimated by OLS and a MEDIUM and LARGE VARs estimated by a Bayesian shrinkage procedure. Our main findings are that: First, the largest specification outperforms the smallest one in terms of forecast accuracy. Second, the MEDIUM VAR outperforms both the LARGE BVAR and the SMALL VAR in the case of structural analysis. So the MEDIUM VAR is sufficient to provide plausible impulse responses, and reproduce more realistically what happened during the subprime crisis. Third, the Bayesian shrinkage procedure is preferable to the standard OLS estimation in the case of an international contagion study.

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File URL: http://economix.fr/pdf/dt/2012/WP_EcoX_2012-46.pdf
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Paper provided by University of Paris West - Nanterre la Défense, EconomiX in its series EconomiX Working Papers with number 2012-46.

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Length: 28 pages
Date of creation: 2012
Date of revision:
Handle: RePEc:drm:wpaper:2012-46
Contact details of provider: Postal: 200 Avenue de la République, Bât. G - 92001 Nanterre Cedex
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  1. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
  2. Case, Karl E. & Quigley, John M. & Shiller, Robert J., 2001. "Comparing Wealth Effects: The Stock Market versus The Housing Market," Department of Economics, Working Paper Series qt44k6g6vx, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
  3. Christopher A. Sims & Tao Zha, 1996. "Bayesian methods for dynamic multivariate models," Working Paper 96-13, Federal Reserve Bank of Atlanta.
  4. Lawrence J. Christiano & Martin Eichenbaum & Charles Evans, 1994. "The effects of monetary policy shocks: evidence from the flow of funds," Proceedings, Federal Reserve Bank of Dallas, issue Apr.
  5. Reinhart, Carmen & Kaminsky, Graciela, 1998. "On crises, contagion, and confusion," MPRA Paper 13709, University Library of Munich, Germany.
  6. Eichengreen, Barry & Rose, Andrew K & Wyplosz, Charles, 1994. "Speculative Attacks on Pegged Exchange Rates: An Empirical Exploration with Special Reference to the European Monetary System," CEPR Discussion Papers 1060, C.E.P.R. Discussion Papers.
  7. Gravelle, Toni & Kichian, Maral & Morley, James, 2006. "Detecting shift-contagion in currency and bond markets," Journal of International Economics, Elsevier, vol. 68(2), pages 409-423, March.
  8. De Mol, Christine & Giannone, Domenico & Reichlin, Lucrezia, 2006. "Forecasting using a large number of predictors: Is Bayesian regression a valid alternative to principal components?," Working Paper Series 0700, European Central Bank.
  9. Martin Lettau & Sydney Ludvigson, 2003. "Understanding Trend and Cycle in Asset Values: Reevaluating the Wealth Effect on Consumption," NBER Working Papers 9848, National Bureau of Economic Research, Inc.
  10. Kadiyala, K. Rao & Karlsson, Sune, 1994. "Numerical Aspects of Bayesian VAR-modeling," SSE/EFI Working Paper Series in Economics and Finance 12, Stockholm School of Economics.
  11. Gary Koop, 2010. "Forecasting with Medium and Large Bayesian VARs," Working Paper Series 43_10, The Rimini Centre for Economic Analysis.
  12. Eichengreen, Barry & Rose, Andrew K & Wyplosz, Charles, 1996. "Contagious Currency Crises," CEPR Discussion Papers 1453, C.E.P.R. Discussion Papers.
  13. Kim, Soyoung, 2001. "International transmission of U.S. monetary policy shocks: Evidence from VAR's," Journal of Monetary Economics, Elsevier, vol. 48(2), pages 339-372, October.
  14. Reinhart, Carmen M. & Rogoff, Kenneth S., 2008. "Is the 2007 US Sub-Prime Financial Crisis So Different? An International Historical Comparison," Scholarly Articles 11129156, Harvard University Department of Economics.
  15. David B. Gordon & Eric M. Leeper, 1992. "The dynamic impacts of monetary policy: an exercise in tentative identification," Working Paper 92-13, Federal Reserve Bank of Atlanta.
  16. Khallouli, Wajih & Sandretto, René, 2012. "Testing for “Contagion” of the Subprime Crisis on the Middle East and North African Stock Markets: A Markov Switching EGARCH Approach," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 27, pages 134-166.
  17. Hsien-Yi Lee, 2012. "Contagion in International Stock Markets during the Sub Prime Mortgage Crisis," International Journal of Economics and Financial Issues, Econjournals, vol. 2(1), pages 41-53.
  18. Favero, Carlo A. & Giavazzi, Francesco, 2002. "Is the international propagation of financial shocks non-linear?: Evidence from the ERM," Journal of International Economics, Elsevier, vol. 57(1), pages 231-246, June.
  19. Vance L. Martin & Brenda Gonzalez-Hermosillo, & Mardi Dungey & Renee A. Fry, 2004. "Empirical Modelling of Contagion: A Review of Methodologies," Econometric Society 2004 Australasian Meetings 243, Econometric Society.
  20. Litterman, Robert B, 1986. "Forecasting with Bayesian Vector Autoregressions-Five Years of Experience," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 25-38, January.
  21. Paul Masson, 1999. "Multiple equilibria, contagion, and the emerging market crises," Proceedings, Federal Reserve Bank of San Francisco, issue Sep.
  22. de Bandt,O. & Malik, S., 2010. "Is there Evidence of Shift-Contagion in International Housing Markets?," Working papers 295, Banque de France.
  23. Kristin J. Forbes & Roberto Rigobon, 2002. "No Contagion, Only Interdependence: Measuring Stock Market Comovements," Journal of Finance, American Finance Association, vol. 57(5), pages 2223-2261, October.
  24. Ben S. Bernanke & Jean Boivin & Piotr Eliasz, 2004. "Measuring the effects of monetary policy: a factor-augmented vector autoregressive (FAVAR) approach," Finance and Economics Discussion Series 2004-03, Board of Governors of the Federal Reserve System (U.S.).
  25. Martha Banbura & Domenico Giannone & Lucrezia Reichlin, 2008. "Large Bayesian VARs," Working Papers ECARES 2008_033, ULB -- Universite Libre de Bruxelles.
  26. Barry Eichengreen & Andrew K. Rose, 1999. "Contagious Currency Crises: Channels of Conveyance," NBER Chapters, in: Changes in Exchange Rates in Rapidly Developing Countries: Theory, Practice, and Policy Issues (NBER-EASE volume 7), pages 29-56 National Bureau of Economic Research, Inc.
  27. Olfa Kaabia & Ilyes Abid, 2012. "Theoretical Channels of International,Transmission During the Subprime Crisis to OCDE Countries : A FAVAR Model Under Bayesian Framework," EconomiX Working Papers 2012-40, University of Paris West - Nanterre la Défense, EconomiX.
  28. Eichengreen, Barry & Rose, Andrew & Wyplosz, Charles, 1996. " Contagious Currency Crises: First Tests," Scandinavian Journal of Economics, Wiley Blackwell, vol. 98(4), pages 463-84, December.
  29. Kruger, Mark & Osakwe, Patrick N. & Page, Jennifer, 1998. "Fundamentals, Contagion and Currency Crises: An Empirical Analysis," Working Papers 98-10, Bank of Canada.
  30. James H. Stock & Mark W. Watson, 2005. "Implications of Dynamic Factor Models for VAR Analysis," NBER Working Papers 11467, National Bureau of Economic Research, Inc.
  31. Eric M. Leeper & Christopher A. Sims & Tao Zha, 1996. "What Does Monetary Policy Do?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 27(2), pages 1-78.
  32. Mardi Dungey & Renee Fry, 2003. "Identification of Common and Idiosyncratic Shocks in Real Equity Prices: Australia 1982 to 2002," Departmental Working Papers 2003-18, The Australian National University, Arndt-Corden Department of Economics.
  33. John C. Robertson & Ellis W. Tallman, 1999. "Prior parameter uncertainty: Some implications for forecasting and policy analysis with VAR models," Working Paper 99-13, Federal Reserve Bank of Atlanta.
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