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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. 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.
  2. 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.
  3. 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.
  4. Lanne, Markku & Luoma, Arto & Luoto, Jani, 2009. "A naïve sticky information model of households' inflation expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 33(6), pages 1332-1344, June.
  5. Carlos Capistrán & Allan Timmermann, 2006. "Disagreement and Biases in Inflation Expectations," Working Papers 2006-07, Banco de México.
  6. Michael Kiley, 2005. "A Quantitative Comparison Of Sticky-Price And Sticky-Information Models Of Price Setting," Computing in Economics and Finance 2005 183, Society for Computational Economics.
  7. Mankiw, N Gregory & Reis, Ricardo, 2010. "Imperfect Information and Aggregate supply," CEPR Discussion Papers 7711, C.E.P.R. Discussion Papers.
  8. N. Gregory Mankiw & Ricardo Reis & Justin Wolfers, 2003. "Disagreement about Inflation Expectations," Harvard Institute of Economic Research Working Papers 2011, Harvard - Institute of Economic Research.
  9. N. Gregory Mankiw & Ricardo Reis, 2006. "Pervasive Stickiness," Harvard Institute of Economic Research Working Papers 2111, Harvard - Institute of Economic Research.
  10. Carlos Capistrán & Manuel Ramos Francia, 2007. "Does Inflation Targeting Affect the Dispersion of Inflation Expectations?," Working Papers 2007-11, Banco de México.
  11. Inoue, Atsushi & Kilian, Lutz & Kiraz, Fatma Burcu, 2006. "Do Actions Speak Louder than Words? Household Expectations of Inflation Based on Micro Consumption Data," CEPR Discussion Papers 5790, C.E.P.R. Discussion Papers.
  12. Carl E. Walsh, 2010. "Monetary Theory and Policy, Third Edition," MIT Press Books, The MIT Press, edition 3, volume 1, number 0262013770, December.
  13. 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.
  14. Jonas Dovern & Joerg Doepke & Ulrich Fritsche & Jirka Slacalek, 2006. "The Dynamics of European Inflation Expectations," Macroeconomics and Finance Series 200603, Hamburg University, Department Wirtschaft und Politik.
  15. Reis, Ricardo, 2005. "Inattentive Consumers," CEPR Discussion Papers 5053, C.E.P.R. Discussion Papers.
  16. Ricardo Nunes, 2005. "Learning the inflation target," Macroeconomics 0504033, EconWPA, revised 26 Apr 2005.
  17. 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.
  18. 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.
  19. 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.
  20. Reis, Ricardo, 2005. "Inattentive Producers," CEPR Discussion Papers 5393, C.E.P.R. Discussion Papers.
  21. Olivier Coibion, 2007. "Testing the Sticky Information Phillips Curve," Working Papers 61, Department of Economics, College of William and Mary.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. N. Gregory Mankiw & Ricardo Reis, 2006. "Pervasive Stickiness (Expanded Version)," NBER Working Papers 12024, National Bureau of Economic Research, Inc.
  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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Citations

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Cited by:
  1. Carrera, César & Ramírez-Rondán, Nelson, 2013. "Inflation, Information Rigidity, and the Sticky Information Phillips Curve," Working Papers 2013-017, Banco Central de Reserva del Perú.
  2. 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.
  3. 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.

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