IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this book chapter

Whither News Shocks?

In: NBER Macroeconomics Annual 2014, Volume 29

  • Robert B. Barsky
  • Susanto Basu
  • Keyoung Lee

Does news about future productivity cause business-cycle fluctuations? What other effects might it have? We explore the answer to this question using semi-structural VARs, where “news” is defined as the innovation in the expectation of TFP at a fixed horizon in the future. We find that systems incorporating a number of forward-looking variables, including stock prices, consumption, consumer confidence and inflation, robustly predict three outcomes. First, following a news shock, TFP rises for several years. Second, inflation falls immediately and substantially, and stays low, often for 10 quarters or more. Third, there is a sharp increase in a forward-looking measure of consumer confidence. Consumption typically rises following good news, but investment, consumer durables purchases and hours worked typically fall on impact. All the quantity variables subsequently rise, as does TFP. Depending on the specification of the reduced form VAR, the activity variables may lead TFP to some extent – possibly lending some support to the hypothesis of news-driven business cycles – or they may move in lockstep with productivity. For the most part, the quantity and inflation responses are quite consistent with the predictions of a standard New Keynesian model augmented with real wage inertia.

(This abstract was borrowed from another version of this item.)

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.nber.org/chapters/c13419.pdf
Download Restriction: no

as
in new window

This chapter was published in:
  • Jonathan A. Parker & Michael Woodford, 2015. "NBER Macroeconomics Annual 2014, Volume 29," NBER Books, National Bureau of Economic Research, Inc, number park14-1, May.
  • This item is provided by National Bureau of Economic Research, Inc in its series NBER Chapters with number 13419.
    Handle: RePEc:nbr:nberch:13419
    Contact details of provider: Postal:
    National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.

    Phone: 617-868-3900
    Web page: http://www.nber.org
    Email:


    More information through EDIRC

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as in new window
    1. Beaudry, Paul & Portier, Franck, 2004. "An exploration into Pigou's theory of cycles," Journal of Monetary Economics, Elsevier, vol. 51(6), pages 1183-1216, September.
    2. Justiniano, Alejandro & Primiceri, Giorgio E & Tambalotti, Andrea, 2009. "Investment Shocks and the Relative Price of Investment," CEPR Discussion Papers 7598, C.E.P.R. Discussion Papers.
    3. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2001. "Nominal rigidities and the dynamic effects of a shock to monetary policy," Working Paper Series WP-01-08, Federal Reserve Bank of Chicago.
    4. Sbordone, Argia M., 2002. "Prices and unit labor costs: a new test of price stickiness," Journal of Monetary Economics, Elsevier, vol. 49(2), pages 265-292, March.
    5. Neville Francis & Michael T. Owyang & Jennifer E. Roush & Riccardo DiCecio, 2010. "A flexible finite-horizon alternative to long-run restrictions with an application to technology shock," Working Papers 2005-024, Federal Reserve Bank of St. Louis.
    6. Barsky, Robert B. & Sims, Eric R., 2011. "News shocks and business cycles," Journal of Monetary Economics, Elsevier, vol. 58(3), pages 273-289.
    7. Galí, Jordi, 1996. "Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?," CEPR Discussion Papers 1499, C.E.P.R. Discussion Papers.
    8. Olivier Jean Blanchard & Jordi Galí, 2005. "Real wage rigidities and the New Keynesian model," Working Papers 05-14, Federal Reserve Bank of Boston.
    9. Jaimovich, Nir & Rebelo, Sérgio, 2006. "Can News About the Future Drive the Business Cycle?," CEPR Discussion Papers 5877, C.E.P.R. Discussion Papers.
    10. Susanto Basu & John G. Fernald & Miles S. Kimball, 1998. "Are technology improvements contractionary?," International Finance Discussion Papers 625, Board of Governors of the Federal Reserve System (U.S.).
    11. Christopher A. Sims & Tao Zha, 1995. "Error bands for impulse responses," FRB Atlanta Working Paper 95-6, Federal Reserve Bank of Atlanta.
    12. Robert J. Barro & Robert G. King, 1984. "Time-Separable Preferences and Intertemporal-Substitution Models of Business Cycles," The Quarterly Journal of Economics, Oxford University Press, vol. 99(4), pages 817-839.
    13. Greenwood, J. & Hercowitz, Z. & Krusell, P., 1998. "The Role of Investment-Specific Technological Change in the Business Cycle," RCER Working Papers 449, University of Rochester - Center for Economic Research (RCER).
    14. Rotemberg, Julio J & Woodford, Michael, 1996. "Imperfect Competition and the Effects of Energy Price Increases on Economic Activity," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 28(4), pages 550-77, November.
    15. Beaudry, Paul & Portier, Franck, 2003. "Stock Prices, News and Economic Fluctuations," IDEI Working Papers 158, Institut d'Économie Industrielle (IDEI), Toulouse.
    16. Justiniano, Alejandro & Primiceri, Giorgio E & Tambalotti, Andrea, 2008. "Investment Shocks and Business Cycles," CEPR Discussion Papers 6739, C.E.P.R. Discussion Papers.
    17. James D. Hamilton, 2009. "Causes and Consequences of the Oil Shock of 2007-08," NBER Working Papers 15002, National Bureau of Economic Research, Inc.
    18. Valerie A. Ramey, 2009. "Identifying Government Spending Shocks: It's All in the Timing," NBER Working Papers 15464, National Bureau of Economic Research, Inc.
    19. Paul Beaudry & Franck Portier, 2013. "Understanding Noninflationary Demand-Driven Business Cycles," NBER Chapters, in: NBER Macroeconomics Annual 2013, Volume 28, pages 69-130 National Bureau of Economic Research, Inc.
    20. 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.
    21. Beaudry, Paul & Portier, Franck, 2007. "When can changes in expectations cause business cycle fluctuations in neo-classical settings?," Journal of Economic Theory, Elsevier, vol. 135(1), pages 458-477, July.
    22. Neville Francis & Valerie A. Ramey, 2005. "Measures of Per Capita Hours and their Implications for the Technology-Hours Debate," NBER Working Papers 11694, National Bureau of Economic Research, Inc.
    23. Jesús Fernández-Villaverde & Juan Francisco Rubio-Ramírez & Thomas J. Sargent, 2005. "A, B, C’s, (and D’s) for understanding VARs," FRB Atlanta Working Paper 2005-09, Federal Reserve Bank of Atlanta.
    24. Galí, Jordi & Gertler, Mark, 1999. "Inflation Dynamics: A Structural Economic Analysis," CEPR Discussion Papers 2246, C.E.P.R. Discussion Papers.
    25. Robert B. Barsky & Eric R. Sims, 2009. "Information, Animal Spirits, and the Meaning of Innovations in Consumer Confidence," NBER Working Papers 15049, National Bureau of Economic Research, Inc.
    26. Nadav Ben Zeev & Hashmat Khan, 2015. "Investment‐Specific News Shocks and U.S. Business Cycles," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(7), pages 1443-1464, October.
    27. John Laitner & Dmitriy Stolyarov, 2005. "Technological Progress and Worker Productivity at Different Ages," Working Papers wp107, University of Michigan, Michigan Retirement Research Center.
    28. Jinnai, Ryo, 2013. "News shocks and inflation," Economics Letters, Elsevier, vol. 119(2), pages 176-179.
    29. Hayashi, Fumio, 1982. "Tobin's Marginal q and Average q: A Neoclassical Interpretation," Econometrica, Econometric Society, vol. 50(1), pages 213-24, January.
    30. Michelle Alexopoulos, 2010. "Read All About it!! What happens following a technology shock?," Working Papers tecipa-391, University of Toronto, Department of Economics.
    31. Jordi Gali & Mark Gertler, 2000. "Inflation Dynamics: A Structural Econometric Analysis," NBER Working Papers 7551, National Bureau of Economic Research, Inc.
    32. Jordi Galí, 2008. "The new Keynesian approach to monetary policy analysis: Lessons and new directions," Economics Working Papers 1075, Department of Economics and Business, Universitat Pompeu Fabra.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:nbr:nberch:13419. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ()

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.