IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts

  • Olivier Coibion
  • Yuriy Gorodnichenko

We propose a new approach to test of the null of full-information rational expectations which is informative about whether rejections of the null reflect departures from rationality or full-information. This approach can also quantify the economic significance of departures from the null by mapping them into the underlying degree of information rigidity faced by economic agents. Applying this approach to both U.S. and cross-country data of professional forecasters and other economic agents yields pervasive evidence of informational rigidities that can be explained by models of imperfect information. Furthermore, the proposed approach sheds new light on the implications of policies such as inflation-targeting and those leading to the Great Moderation on expectations. Finally, we document evidence of state-dependence in the expectations formation process.

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/papers/w16537.pdf
Download Restriction: no

Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 16537.

as
in new window

Length:
Date of creation: Nov 2010
Date of revision:
Publication status: published as Olivier Coibion & Yuriy Gorodnichenko, 2015. "Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts," American Economic Review, American Economic Association, vol. 105(8), pages 2644-78, August.
Handle: RePEc:nbr:nberwo:16537
Note: EFG IFM ME
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. Andrew Ang & Geert Bekaert & Min Wei, 2005. "Do Macro Variables, Asset Markets or Surveys Forecast Inflation Better?," NBER Working Papers 11538, National Bureau of Economic Research, Inc.
  2. Michael T. Kiley, 2007. "A Quantitative Comparison of Sticky-Price and Sticky-Information Models of Price Setting," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 101-125, 02.
  3. Larry Epstein & Martin Schneider, 2004. "Ambiguity, Information Quality and Asset Pricing," RCER Working Papers 507, University of Rochester - Center for Economic Research (RCER).
  4. Steven J. Davis & James A. Kahn, 2008. "Interpreting the Great Moderation: changes in the volatility of economic activity at the macro and micro Levels," Staff Reports 334, Federal Reserve Bank of New York.
  5. Margaret M. McConnell & Gabriel Perez Quiros, 1997. "Output fluctuations in the United States: what has changed since the early 1980s?," Research Paper 9735, Federal Reserve Bank of New York.
  6. Cosmin L. Ilut, 2010. "Ambiguity Aversion: Implications for the Uncovered Interest Rate Parity Puzzle," Working Papers 10-53, Duke University, Department of Economics.
  7. Murphy, Kevin M & Topel, Robert H, 2002. "Estimation and Inference in Two-Step Econometric Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 88-97, January.
  8. Clarida, R. & Gali, J. & Gertler, M., 1998. "Monetary Policy Rules and Macroeconomic Stability: Evidence and some Theory," Working Papers 98-01, C.V. Starr Center for Applied Economics, New York University.
  9. Olivier Coibion & Yuriy Gorodnichenko, 2008. "What Can Survey Forecasts Tell Us About Informational Rigidities?," NBER Working Papers 14586, National Bureau of Economic Research, Inc.
  10. Jonas Dovern & Ulrich Fritsche & Jiri Slacalek, 2012. "Disagreement Among Forecasters in G7 Countries," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1081-1096, November.
  11. Andrade, Philippe & Le Bihan, Hervé, 2013. "Inattentive professional forecasters," Journal of Monetary Economics, Elsevier, vol. 60(8), pages 967-982.
  12. Diego Comin & Thomas Philippon, 2005. "The Rise in Firm-Level Volatility: Causes and Consequences," NBER Working Papers 11388, National Bureau of Economic Research, Inc.
  13. Steven J. Davis & John Haltiwanger & Ron Jarmin & Javier Miranda, 2007. "Volatility and Dispersion in Business Growth Rates: Publicly Traded versus Privately Held Firms," NBER Chapters, in: NBER Macroeconomics Annual 2006, Volume 21, pages 107-180 National Bureau of Economic Research, Inc.
  14. Andolfatto, David & Hendry, Scott & Moran, Kevin, 2008. "Are inflation expectations rational?," Journal of Monetary Economics, Elsevier, vol. 55(2), pages 406-422, March.
  15. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-70, November.
  16. Dean Croushore, 2006. "An evaluation of inflation forecasts from surveys using real-time data," Working Papers 06-19, Federal Reserve Bank of Philadelphia.
  17. Refet S. Gürkaynak & Andrew T. Levin & Eric T. Swanson, 2006. "Does inflation targeting anchor long-run inflation expectations? evidence from long-term bond yields in the U.S., U.K., and Sweden," Working Paper Series 2006-09, Federal Reserve Bank of San Francisco.
  18. Lloyd B. Thomas, 1999. "Survey Measures of Expected U.S. Inflation," Journal of Economic Perspectives, American Economic Association, vol. 13(4), pages 125-144, Fall.
  19. Ball, Laurence & Gregory Mankiw, N. & Reis, Ricardo, 2005. "Monetary policy for inattentive economies," Journal of Monetary Economics, Elsevier, vol. 52(4), pages 703-725, May.
  20. Mackowiak, Bartosz Adam & Wiederholt, Mirko, 2007. "Optimal Sticky Prices under Rational Inattention," CEPR Discussion Papers 6243, C.E.P.R. Discussion Papers.
  21. N. Gregory Mankiw & Ricardo Reis, 2002. "Sticky Information Versus Sticky Prices: A Proposal To Replace The New Keynesian Phillips Curve," The Quarterly Journal of Economics, MIT Press, vol. 117(4), pages 1295-1328, November.
  22. Yuriy Gorodnichenko, 2008. "Endogenous information, menu costs and inflation persistence," NBER Working Papers 14184, National Bureau of Economic Research, Inc.
  23. Barro, Robert J. & Gordon, David B., 1983. "Rules, discretion and reputation in a model of monetary policy," Journal of Monetary Economics, Elsevier, vol. 12(1), pages 101-121.
  24. Khan, Hashmat & Zhu, Zhenhua, 2006. "Estimates of the Sticky-Information Phillips Curve for the United States," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(1), pages 195-207, February.
  25. John M. Roberts, 1994. "Is inflation sticky?," Working Paper Series / Economic Activity Section 152, Board of Governors of the Federal Reserve System (U.S.).
  26. Lucas, Robert Jr., 1972. "Expectations and the neutrality of money," Journal of Economic Theory, Elsevier, vol. 4(2), pages 103-124, April.
  27. Patton, Andrew J. & Timmermann, Allan, 2010. "Why do forecasters disagree? Lessons from the term structure of cross-sectional dispersion," Journal of Monetary Economics, Elsevier, vol. 57(7), pages 803-820, October.
  28. Andrew T. Levin & Fabio M. Natalucci & Jeremy M. Piger, 2004. "The macroeconomic effects of inflation targeting," Review, Federal Reserve Bank of St. Louis, issue Jul, pages 51-80.
  29. Carlos Capistrán & Manuel Ramos-Francia, 2010. "Does Inflation Targeting Affect the Dispersion of Inflation Expectations?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(1), pages 113-134, 02.
  30. Philippe Bacchetta & Elmar Mertens & Eric van Wincoop, 2006. "Predictability in Financial Markets: What Do Survey Expectations Tell Us?," Working Papers 102006, Hong Kong Institute for Monetary Research.
  31. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November.
  32. Olivier Coibion & Yuriy Gorodnichenko, 2011. "Monetary Policy, Trend Inflation, and the Great Moderation: An Alternative Interpretation," American Economic Review, American Economic Association, vol. 101(1), pages 341-70, February.
  33. Christopher D. Carroll, 2003. "Macroeconomic Expectations Of Households And Professional Forecasters," The Quarterly Journal of Economics, MIT Press, vol. 118(1), pages 269-298, February.
  34. Christopher W. Crowe, 2010. "Consensus Forecasts and Inefficient Information Aggregation," IMF Working Papers 10/178, International Monetary Fund.
  35. Ricardo Reis, 2009. "Optimal Monetary Policy Rules in an Estimated Sticky-Information Model," American Economic Journal: Macroeconomics, American Economic Association, vol. 1(2), pages 1-28, July.
  36. Pagan, Adrian, 1984. "Econometric Issues in the Analysis of Regressions with Generated Regressors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(1), pages 221-47, February.
  37. Hashmat Khan & Zhenhua Zhu, 2002. "Estimates of the Sticky-Information Phillips Curve for the United States, Canada, and the United Kingdom," Working Papers 02-19, Bank of Canada.
  38. Capistrán, Carlos & Timmermann, Allan, 2009. "Forecast Combination With Entry and Exit of Experts," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 428-440.
  39. Olivier Coibion, 2007. "Testing the Sticky Information Phillips Curve," Working Papers 61, Department of Economics, College of William and Mary.
  40. Bernard Laurens & Martin Sommer & Marco Arnone & Jean-François Segalotto, 2007. "Central Bank Autonomy; Lessons From Global Trends," IMF Working Papers 07/88, International Monetary Fund.
  41. Klaus Adam & Mario Padula, 2011. "Inflation Dynamics And Subjective Expectations In The United States," Economic Inquiry, Western Economic Association International, vol. 49(1), pages 13-25, 01.
  42. Gourinchas, Pierre-Olivier & Tornell, Aaron, 2004. "Exchange rate puzzles and distorted beliefs," Journal of International Economics, Elsevier, vol. 64(2), pages 303-333, December.
  43. John M. Roberts, 1998. "Inflation expectations and the transmission of monetary policy," Finance and Economics Discussion Series 1998-43, Board of Governors of the Federal Reserve System (U.S.).
  44. Branch, William A., 2007. "Sticky information and model uncertainty in survey data on inflation expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 31(1), pages 245-276, January.
  45. Joseph G. Haubrich & George Pennacchi & Peter Ritchken, 2008. "Estimating real and nominal term structures using Treasury yields, inflation, inflation forecasts, and inflation swap rates," Working Paper 0810, Federal Reserve Bank of Cleveland.
  46. Andy Bauer & Robert A. Eisenbeis & Daniel F. Waggoner & Tao Zha, 2003. "Forecast evaluation with cross-sectional data: The Blue Chip Surveys," Economic Review, Federal Reserve Bank of Atlanta, issue Q2, pages 17-31.
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:nberwo:16537. 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.