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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
Date of revision:
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, 2006. "Stock Prices, News, and Economic Fluctuations," American Economic Review, American Economic Association, vol. 96(4), pages 1293-1307, September.
  2. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
  3. Schmitt-Grohé, Stephanie & Uribe, Martín, 2009. "What’s News in Business Cycles," CEPR Discussion Papers 7201, C.E.P.R. Discussion Papers.
  4. 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.
  5. Eric R. Sims, 2012. "News, Non-Invertibility, and Structural VARs," Working Papers 013, University of Notre Dame, Department of Economics, revised Jun 2012.
  6. Ippei Fujiwara & Yasuo Hirose & Mototsugu Shintani, 2008. "Can News Be a Major Source of Aggregate Fluctuations? A Bayesian DSGE Approach," Levine's Working Paper Archive 122247000000002352, David K. Levine.
  7. Valerie A. Ramey, 2011. "Identifying Government Spending Shocks: It's all in the Timing," The Quarterly Journal of Economics, Oxford University Press, vol. 126(1), pages 1-50.
  8. Karel Mertens & Morten Overgaard Ravn, 2011. "Understanding the Aggregate Effects of Anticipated and Unanticipated Tax Policy Shocks," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(1), pages 27-54, January.
  9. Federico Ravenna, 2005. "Vector Autoregressions and Reduced Form Representations of DSGE Models," 2005 Meeting Papers 841, Society for Economic Dynamics.
  10. V. V. Chari & Patrick J. Kehoe & Ellen R. McGrattan, 2007. "Are structural VARs with long-run restrictions useful in developing business cycle theory?," Staff Report 364, Federal Reserve Bank of Minneapolis.
  11. Paul Beaudry & Bernd Lucke, 2010. "Letting Different Views about Business Cycles Compete," NBER Chapters, in: NBER Macroeconomics Annual 2009, Volume 24, pages 413-455 National Bureau of Economic Research, Inc.
  12. Beaudry, Paul & Portier, Franck, 2005. "The 'News' View of Economic Fluctuations: Evidence from Aggregate Japanese Data and Sectoral US Data," CEPR Discussion Papers 5176, C.E.P.R. Discussion Papers.
  13. 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.
  14. Hashmat Khan & John Tsoukalas, 2012. "The Quantitative Importance of News Shocks in Estimated DSGE Models," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(8), pages 1535-1561, December.
  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. 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.
  17. 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.
  18. Todd B. Walker & Eric M. Leeper & Shu-Chun S. Yang, 2012. "Fiscal Foresight and Information Flows," IMF Working Papers 12/153, International Monetary Fund.
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