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Estimating Information Rigidity using Firms’ Survey Data

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  • Carrera, César

    (Banco Central de Reserva del Perú)

Abstract

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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Bibliographic Info

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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Keywords: Inflation expectations; Heterogeneous expectations; Survey expectations; Epidemiology; Sticky Information;

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References

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  1. Reis, Ricardo, 2005. "Inattentive Producers," CEPR Discussion Papers 5393, C.E.P.R. Discussion Papers.
  2. 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.
  3. Carlos Capistrán & Allan Timmermann, 2006. "Disagreement and Biases in Inflation Expectations," Computing in Economics and Finance 2006 3, Society for Computational Economics.
  4. 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.
  5. Lanne, Markku & Luoma, Arto & Luoto, Jani, 2008. "A Naïve Sticky Information Model of Households’ Inflation Expectations," MPRA Paper 8663, University Library of Munich, Germany.
  6. N. Gregory Mankiw & Ricardo Reis, 2001. "Sticky Information Versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve," NBER Working Papers 8290, National Bureau of Economic Research, Inc.
  7. 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.
  8. Olivier Coibion & Yuriy Gorodnichenko, 2008. "What Can Survey Forecasts Tell Us About Informational Rigidities?," NBER Working Papers 14586, National Bureau of Economic Research, Inc.
  9. N. Gregory Mankiw & Ricardo Reis & Justin Wolfers, 2004. "Disagreement about Inflation Expectations," NBER Chapters, in: NBER Macroeconomics Annual 2003, Volume 18, pages 209-270 National Bureau of Economic Research, Inc.
  10. Mankiw, N Gregory & Reis, Ricardo, 2010. "Imperfect Information and Aggregate supply," CEPR Discussion Papers 7711, C.E.P.R. Discussion Papers.
  11. Ricardo Reis, 2004. "Inattentive Consumers," NBER Working Papers 10883, National Bureau of Economic Research, Inc.
  12. Olivier Coibion & Yuriy Gorodnichenko, 2010. "Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts," NBER Working Papers 16537, National Bureau of Economic Research, Inc.
  13. Fushang Liu & Kajal Lahiri, 2006. "Modelling multi-period inflation uncertainty using a panel of density forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1199-1219.
  14. 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.
  15. 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.
  16. Mankiw, N. Gregory & Reis, Ricardo, 2007. "Sticky Information in General Equilibrium," Scholarly Articles 3415323, Harvard University Department of Economics.
  17. Döpke, Jörg & Dovern, Jonas & Fritsche, Ulrich & Slacalek, Jiri, 2008. "Sticky information Phillips curves: European evidence," Working Paper Series 0930, European Central Bank.
  18. N. Gregory Mankiw & Ricardo Reis, 2006. "Pervasive Stickiness," Harvard Institute of Economic Research Working Papers 2111, Harvard - Institute of Economic Research.
  19. 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.
  20. Olivier Coibion, 2007. "Testing the Sticky Information Phillips Curve," Working Papers 61, Department of Economics, College of William and Mary.
  21. Christopher D Carroll, 2002. "Macroeconomic Expectations of Households and Professional Forecasters," Economics Working Paper Archive 477, The Johns Hopkins University,Department of Economics.
  22. 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.
  23. N. Gregory Mankiw & Ricardo Reis, 2006. "Pervasive Stickiness (Expanded Version)," NBER Working Papers 12024, National Bureau of Economic Research, Inc.
  24. Carl E. Walsh, 2010. "Monetary Theory and Policy, Third Edition," MIT Press Books, The MIT Press, edition 3, volume 1, number 0262013770, December.
  25. 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.
  26. Nunes, Ricardo, 2009. "Learning The Inflation Target," Macroeconomic Dynamics, Cambridge University Press, vol. 13(02), pages 167-188, April.
  27. 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.
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Cited by:
  1. César Carrera & Nelson Ramírez-Rondán, 2014. "Inflation, Information Rigidity, and the Sticky Information Phillips Curve," Working Papers 2014-1, Peruvian Economic Association.
  2. Mendoza, Liu & Morales, Daniel, 2012. "Constructing a real-time coincident recession index: an application to the Peruvian economy," Working Papers 2012-020, Banco Central de Reserva del Perú.
  3. Mendoza, Liu & Morales, Daniel, 2013. "Construyendo un índice coincidente de recesión: Una aplicación para la economía peruana," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 26, pages 81-100.

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