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Estimating Information Rigidity using Firms’ Survey Data

  • Carrera, César

    (Banco Central de Reserva del Perú)

The slope of the sticky information Phillips curve proposed by Mankiw and Reis (2002) is based on the degree of information rigidity on the part of firms. Carroll (2003) uses an epidemiology model of expectations and finds evidence for the U.S. of a one-year lag in the transmission of information from professional forecasters to households. Using financial institutions‟ and firms‟ survey data from Peru and the model proposed by Carroll, I estimate the degree of information rigidity for the Peruvian economy. This paper also considers heterogeneous responses and explores the cross-sectional dimension of these survey forecasts. I find that the degree of information stickiness is such that it takes between one and three quarters for updating information, a result that is robust to different specifications.

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Paper provided by Banco Central de Reserva del Perú in its series Working Papers with number 2012-004.

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Date of creation: Jan 2012
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Handle: RePEc:rbp:wpaper:2012-004
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  1. Ricardo Reis, 2005. "Inattentive Producers," 2005 Meeting Papers 290, Society for Economic Dynamics.
  2. Reis, Ricardo, 2006. "Inattentive consumers," Journal of Monetary Economics, Elsevier, vol. 53(8), pages 1761-1800, November.
  3. Mankiw, N. Gregory & Reis, Ricardo, 2007. "Sticky Information in General Equilibrium," Scholarly Articles 3415323, Harvard University Department of Economics.
  4. Mankiw, N. Gregory & Reis, Ricardo, 2002. "Sticky Information Versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve," Scholarly Articles 3415324, Harvard University Department of Economics.
  5. 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.).
  6. N. Gregory Mankiw & Ricardo Reis & Justin Wolfers, 2003. "Disagreement about Inflation Expectations," NBER Working Papers 9796, National Bureau of Economic Research, Inc.
  7. 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.
  8. Olivier Coibion, 2007. "Testing the Sticky Information Phillips Curve," Working Papers 61, Department of Economics, College of William and Mary.
  9. N. Gregory Mankiw & Ricardo Reis, 2010. "Imperfect Information and Aggregate Supply," NBER Working Papers 15773, National Bureau of Economic Research, Inc.
  10. Doepke Joerg & Dovern Jonas & Fritsche Ulrich & Slacalek Jiri, 2008. "The Dynamics of European Inflation Expectations," The B.E. Journal of Macroeconomics, De Gruyter, vol. 8(1), pages 1-23, March.
  11. 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.
  12. N. Gregory Mankiw & Ricardo Reis, 2006. "Pervasive Stickiness (Expanded Version)," NBER Working Papers 12024, National Bureau of Economic Research, Inc.
  13. Lanne, Markku & Luoma, Arto & Luoto, Jani, 2008. "A Naïve Sticky Information Model of Households’ Inflation Expectations," MPRA Paper 8663, University Library of Munich, Germany.
  14. Jörg Döpke & Jonas Dovern & Ulrich Fritsche & Jiri Slacalek, 2008. "Sticky Information Phillips Curves: European Evidence," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(7), pages 1513-1520, October.
  15. Carlos Capistrán & Allan Timmermann, 2008. "Disagreement and Biases in Inflation Expectations," CREATES Research Papers 2008-56, School of Economics and Management, University of Aarhus.
  16. Olivier Coibion & Yuriy Gorodnichenko, 2010. "Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts," Working Papers 102, Department of Economics, College of William and Mary.
  17. Olivier Coibion & Yuriy Gorodnichenko, 2012. "What Can Survey Forecasts Tell Us about Information Rigidities?," Journal of Political Economy, University of Chicago Press, vol. 120(1), pages 116 - 159.
  18. Castillo, Paul & Montoro, Carlos & Tuesta, Vicente, 2007. "Hechos estilizados de la economía peruana," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 14, pages 33-75.
  19. Ricardo Nunes, 2009. "On the Epidemiological Microfoundations of Sticky Information," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(5), pages 643-657, October.
  20. Inoue, Atsushi & Kilian, Lutz & Kiraz, Fatma Burcu, 2006. "Do actions speak louder than words? Household expectations of inflation based on micro consumption data," Discussion Paper Series 1: Economic Studies 2006,26, Deutsche Bundesbank, Research Centre.
  21. Kajal Lahiri & Fushang Liu, 2006. "Modeling Multi-Period Inflation Uncertainty Using a Panel of Density Forcasts," Discussion Papers 06-05, University at Albany, SUNY, Department of Economics.
  22. 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.
  23. 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.
  24. Ricardo Nunes, 2005. "Learning the inflation target," Macroeconomics 0504033, EconWPA, revised 26 Apr 2005.
  25. N. Gregory Mankiw & Ricardo Reis, 2006. "Pervasive Stickiness," American Economic Review, American Economic Association, vol. 96(2), pages 164-169, May.
  26. Carl E. Walsh, 2010. "Monetary Theory and Policy, Third Edition," MIT Press Books, The MIT Press, edition 3, volume 1, number 0262013770, June.
  27. Easaw, Joshy Z. & Ghoshray, Atanu, 2006. "Agent-Based Learning in 'Islands' with 'Sticky Information': An Explanation for the Persistence of Real Effects," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(1), pages 263-268, February.
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