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What Can Survey Forecasts Tell Us about Information Rigidities?

  • Olivier Coibion
  • Yuriy Gorodnichenko

A lot. We derive common and conflicting predictions from models in which agents face information constraints and then assess their validity using surveys of consumers, firms, central bankers, and professional forecasters. We document that mean forecasts fail to completely adjust on impact to shocks, leading to statistically and economically significant deviations from the null of full information. The dynamics of forecast errors after shocks are consistent with the predictions of models with information rigidities. The conditional responses of forecast errors and disagreement among agents can also be used to differentiate between some of the most prominent models of information rigidities.

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File URL: http://www.jstor.org/stable/pdfplus/10.1086/665662
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File URL: http://www.jstor.org/stable/full/10.1086/665662
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Article provided by University of Chicago Press in its journal Journal of Political Economy.

Volume (Year): 120 (2012)
Issue (Month): 1 ()
Pages: 116 - 159

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Handle: RePEc:ucp:jpolec:doi:10.1086/665662
Contact details of provider: Web page: http://www.journals.uchicago.edu/JPE/

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  1. Olivier Coibion & Yuriy Gorodnichenko, 2011. "Strategic Interaction among Heterogeneous Price-Setters in an Estimated DSGE Model," The Review of Economics and Statistics, MIT Press, vol. 93(3), pages 920-940, August.
  2. M. Hashem Pesaran & Martin Weale, 2005. "Survey Expectations," IEPR Working Papers 05.30, Institute of Economic Policy Research (IEPR).
  3. Korenok, Oleg, 2008. "Empirical comparison of sticky price and sticky information models," Journal of Macroeconomics, Elsevier, vol. 30(3), pages 906-927, September.
  4. Jonas Dovern & Joerg Doepke & Ulrich Fritsche & Jirka Slacalek, 2006. "Sticky Information Phillips Curves: European Evidence," Macroeconomics and Finance Series 200604, Hamburg University, Department Wirtschaft und Politik.
  5. Lutz Kilian, 2008. "Exogenous Oil Supply Shocks: How Big Are They and How Much Do They Matter for the U.S. Economy?," The Review of Economics and Statistics, MIT Press, vol. 90(2), pages 216-240, May.
  6. Beaudry, Paul & Portier, Franck, 2003. "Stock Prices, News and Economic Fluctuations," CEPR Discussion Papers 3844, C.E.P.R. Discussion Papers.
  7. Jordi Gali, 1996. "Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations," NBER Working Papers 5721, National Bureau of Economic Research, Inc.
  8. Mirko Wiederholt & Bartosz Mackowiak, 2005. "Optimal Sticky Prices under Rational Inattention," 2005 Meeting Papers 369, Society for Economic Dynamics.
  9. 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.
  10. Klaus Adam & Mario Padula, 2002. "Inflation Dynamics and Subjective Expectations in the United States," CSEF Working Papers 78, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy, revised 02 Jun 2009.
  11. Christina D. Romer & David H. Romer, 2007. "The Macroeconomic Effects of Tax Changes: Estimates Based on a New Measure of Fiscal Shocks," NBER Working Papers 13264, National Bureau of Economic Research, Inc.
  12. Yuriy Gorodnichenko, 2008. "Endogenous information, menu costs and inflation persistence," NBER Working Papers 14184, National Bureau of Economic Research, Inc.
  13. Ricardo Reis, 2004. "Inattentive Consumers," NBER Working Papers 10883, National Bureau of Economic Research, Inc.
  14. Cukierman, Alex & Wachtel, Paul, 1979. "Differential Inflationary Expectations and the Variability of the Rate of Inflation: Theory and Evidence," American Economic Review, American Economic Association, vol. 69(4), pages 595-609, September.
  15. N. Gregory Mankiw & Ricardo Reis, 2001. "Sticky Information Versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve," Harvard Institute of Economic Research Working Papers 1922, Harvard - Institute of Economic Research.
  16. Christina D. Romer & David H. Romer, 2003. "A New Measure of Monetary Shocks: Derivation and Implications," NBER Working Papers 9866, National Bureau of Economic Research, Inc.
  17. Ben Bernanke, 1990. "The Federal Funds Rate and the Channels of Monetary Transnission," NBER Working Papers 3487, National Bureau of Economic Research, Inc.
  18. N. Gregory Mankiw & Ricardo Reis, 2007. "Sticky Information in General Equilibrium," Journal of the European Economic Association, MIT Press, vol. 5(2-3), pages 603-613, 04-05.
  19. 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.
  20. Gourinchas, Pierre-Olivier & Tornell, Aaron, 2004. "Exchange rate puzzles and distorted beliefs," Journal of International Economics, Elsevier, vol. 64(2), pages 303-333, December.
  21. 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.
  22. Roberts, John M., 1997. "Is inflation sticky?," Journal of Monetary Economics, Elsevier, vol. 39(2), pages 173-196, July.
  23. Ricardo Reis, 2006. "Inattentive Producers," Review of Economic Studies, Oxford University Press, vol. 73(3), pages 793-821.
  24. Edward S. Knotek II, 2006. "A tale of two rigidities: sticky prices in a sticky-information environment," Research Working Paper RWP 06-15, Federal Reserve Bank of Kansas City.
  25. Michael T. Kiley, 2005. "A quantitative comparison of sticky-price and sticky-information models of price setting," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
  26. Paciello, Luigi, 2007. "The Response of Prices to Technology and Monetary Policy Shocks under Rational Inattention," MPRA Paper 5763, University Library of Munich, Germany.
  27. Maćkowiak, Bartosz & Wiederholt, Mirko, 2011. "Business cycle dynamics under rational inattention," Working Paper Series 1331, European Central Bank.
  28. Olivier Coibion, 2007. "Testing the Sticky Information Phillips Curve," Working Papers 61, Department of Economics, College of William and Mary.
  29. N. Gregory Mankiw & Ricardo Augusto Marc Rocha Reis & Justin Wolfers, 2004. "Disagreement about Inflation Expectations," Yale School of Management Working Papers ysm391, Yale School of Management.
  30. Sims, Christopher A., 2003. "Implications of rational inattention," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 665-690, April.
  31. Lucas, Robert Jr., 1972. "Expectations and the neutrality of money," Journal of Economic Theory, Elsevier, vol. 4(2), pages 103-124, April.
  32. Hooker, Mark A., 1996. "This is what happened to the oil price-macroeconomy relationship: Reply," Journal of Monetary Economics, Elsevier, vol. 38(2), pages 221-222, October.
  33. Bacchetta, Philippe & Mertens, Elmar & van Wincoop, Eric, 2006. "Predictability in Financial Markets: What Do Survey Expectations Tell Us?," CEPR Discussion Papers 5770, C.E.P.R. Discussion Papers.
  34. 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.
  35. Erceg, Christopher J. & Levin, Andrew T., 2003. "Imperfect credibility and inflation persistence," Journal of Monetary Economics, Elsevier, vol. 50(4), pages 915-944, May.
  36. 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.).
  37. Nicholas Bloom, 2007. "The Impact of Uncertainty Shocks," NBER Working Papers 13385, National Bureau of Economic Research, Inc.
  38. Dupor, Bill & Han, Jing & Tsai, Yi-Chan, 2009. "What do technology shocks tell us about the New Keynesian paradigm?," Journal of Monetary Economics, Elsevier, vol. 56(4), pages 560-569, May.
  39. 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.
  40. Andres, Javier & Lopez-Salido, J. David & Nelson, Edward, 2005. "Sticky-price models and the natural rate hypothesis," Journal of Monetary Economics, Elsevier, vol. 52(5), pages 1025-1053, July.
  41. Jonung, Lars & Laidler, David E, 1988. "Are Perceptions of Inflation Rational? Some Evidence for Sweden," American Economic Review, American Economic Association, vol. 78(5), pages 1080-87, December.
  42. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-70, November.
  43. Hamilton, James D., 1996. "This is what happened to the oil price-macroeconomy relationship," Journal of Monetary Economics, Elsevier, vol. 38(2), pages 215-220, October.
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