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Identifying News Shocks from SVARs

  • Fève, Patrick
  • Jidoud, Ahmat

This paper investigates the reliability of SVARs to identify the dynamic effects of news shocks. We show analytically that the dynamics implied by SVARs, using both long–run and short–run restrictions, are biased. However, the bias vanishes as long as news shocks account for most of the variability of the endogenous variable and the economy exhibits strong forward–looking behavior. Our simulation experiments confirm these findings and further suggest that the number of lags is a key ingredient for the success of the VAR setup. Furthermore, a simple correlation diagnostic test shows that news shocks identified using both restrictions are found to exhibit a correlation close to unity, provided that news shocks drive an overwhelming part of aggregate fluctuations.

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Paper provided by Institut d'Économie Industrielle (IDEI), Toulouse in its series IDEI Working Papers with number 706.

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Date of creation: Mar 2012
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Publication status: Published in Journal of Macroeconomics, vol.�34, n°4, décembre 2012, p.�909-932.
Handle: RePEc:ide:wpaper:25749
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  1. Paul Beaudry & Franck Portier, 2004. "Stock Prices, News and Economic Fluctuations," NBER Working Papers 10548, National Bureau of Economic Research, Inc.
  2. Mertens, Karel & Ravn, Morten O, 2009. "Measuring the Impact of Fiscal Policy in the Face of Anticipation: A Structural VAR Approach," CEPR Discussion Papers 7423, C.E.P.R. Discussion Papers.
  3. Eric R. Sims, 2012. "News, Non-Invertibility, and Structural VARs," Working Papers 013, University of Notre Dame, Department of Economics, revised Jun 2012.
  4. Ravenna, Federico, 2007. "Vector autoregressions and reduced form representations of DSGE models," Journal of Monetary Economics, Elsevier, vol. 54(7), pages 2048-2064, October.
  5. Eric Leeper & Todd Walker & Susan Yang SHu-Chun, 2009. "Fiscal Foresight And Information Flows," Caepr Working Papers 2009-001, Center for Applied Economics and Policy Research, Economics Department, Indiana University Bloomington.
  6. Hashmat Khan & John Tsoukalas, 2009. "The Quantitative Importance of News Shocks in Estimated DSGE Models," Carleton Economic Papers 09-07, Carleton University, Department of Economics, revised 22 May 2012.
  7. Lawrence J. Christiano & Martin Eichenbaum & Robert Vigfusson, 2007. "Assessing Structural VARs," NBER Chapters, in: NBER Macroeconomics Annual 2006, Volume 21, pages 1-106 National Bureau of Economic Research, Inc.
  8. Valerie A. Ramey, 2009. "Identifying Government Spending Shocks: It's All in the Timing," NBER Working Papers 15464, National Bureau of Economic Research, Inc.
  9. Ippei Fujiwara & Yasuo Hirose & Mototsugu Shintani, 2009. "Can News Be a Major Source of Aggregate Fluctuations? A Bayesian DSGE Approach," Vanderbilt University Department of Economics Working Papers 0921, Vanderbilt University Department of Economics.
  10. Eric M. Leeper & Todd B. Walker & Shu-Chun Susan Yang, 2011. "Foresight and Information Flows," NBER Working Papers 16951, National Bureau of Economic Research, Inc.
  11. Stephanie Schmitt-Grohe & Martin Uribe, 2008. "What's News in Business Cycles," NBER Working Papers 14215, National Bureau of Economic Research, Inc.
  12. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
  13. Paul Beaudry & Bernd Lucke, 2009. "Letting Different Views about Business Cycles Compete," NBER Working Papers 14950, National Bureau of Economic Research, Inc.
  14. Mertens, Karel & Ravn, Morten O, 2009. "Understanding the Aggregate Effects of Anticipated and Unanticipated Tax Policy Shocks," CEPR Discussion Papers 7505, C.E.P.R. Discussion Papers.
  15. Barsky, Robert B. & Sims, Eric R., 2011. "News shocks and business cycles," Journal of Monetary Economics, Elsevier, vol. 58(3), pages 273-289.
  16. V. V. Chari & Patrick J. Kehoe & Ellen R. McGrattan, 2008. "Are Structural VARs with Long-Run Restrictions Useful in Developing Business Cycle Theory?," NBER Working Papers 14430, National Bureau of Economic Research, Inc.
  17. Fève, Patrick & Matheron, Julien & Sahuc, Jean-Guillaume, 2009. "On the dynamic implications of news shocks," Economics Letters, Elsevier, vol. 102(2), pages 96-98, February.
  18. Karel Mertens & Morten Overgaard Ravn, 2010. "Online Appendix to "Understanding the Aggregate Effects of Anticipated and Unanticipated Tax Policy Shocks"," Technical Appendices 09-221, Review of Economic Dynamics.
  19. Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2007. "A Review of Nonfundamentalness and Identification in Structural VAR Models," LEM Papers Series 2007/22, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  20. Paul Beaudry & Franck Portier, 2005. "The "News" View of Economic Fluctuations: Evidence from Aggregate Japanese Data and Sectoral U.S. Data," NBER Working Papers 11496, National Bureau of Economic Research, Inc.
  21. Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2011. "Non‐Fundamentalness in Structural Econometric Models: A Review," International Statistical Review, International Statistical Institute, vol. 79(1), pages 16-47, 04.
  22. Robert B. Barsky & Eric R. Sims, 2009. "News Shocks," NBER Working Papers 15312, National Bureau of Economic Research, Inc.
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