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Inflation, Information Rigidity, and the Sticky Information Phillips Curve

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  • Carrera, César

    (Banco Central de Reserva del Perú)

  • Ramírez-Rondán, Nelson

    (Banco Central de Reserva del Perú)

Abstract

One of the most important structural relationships for policy makers is the Phillips curve; thus, this topic is the focus of ongoing theoretical and empirical research. We estimate the degree of information stickiness implied by the sticky information Phillips curve proposed by Mankiw and Reis (2002). Using threshold models we identify regimes of high and low inflation and find that each regime is associated with a specific degree of information stickiness. We find evidence that agents update information faster when inflation is higher.

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File URL: http://www.bcrp.gob.pe/docs/Publicaciones/Documentos-de-Trabajo/2013/documento-de-trabajo-17-2013.pdf
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Bibliographic Info

Paper provided by Banco Central de Reserva del Perú in its series Working Papers with number 2013-017.

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Date of creation: Dec 2013
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Handle: RePEc:rbp:wpaper:2013-017

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Keywords: Infl ation; Sticky Information; Phillips Curve; Threshold model;

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  1. Julio Rotemberg & Michael Woodford, 1997. "An Optimization-Based Econometric Framework for the Evaluation of Monetary Policy," NBER Chapters, in: NBER Macroeconomics Annual 1997, Volume 12, pages 297-361 National Bureau of Economic Research, Inc.
  2. Kiley, Michael T, 2000. "Endogenous Price Stickiness and Business Cycle Persistence," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 32(1), pages 28-53, February.
  3. 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.).
  4. Bruce E. Hansen, 2000. "Sample Splitting and Threshold Estimation," Econometrica, Econometric Society, vol. 68(3), pages 575-604, May.
  5. Carl E. Walsh, 2010. "Monetary Theory and Policy, Third Edition," MIT Press Books, The MIT Press, edition 3, volume 1, number 0262013770, December.
  6. V. V. Chari & Patrick J. Kehoe & Ellen R. McGrattan, 1996. "Sticky Price Models of the Business Cycle: Can the Contract Multiplier Solve the Persistence Problem?," NBER Working Papers 5809, National Bureau of Economic Research, Inc.
  7. Oleg Korenok, 2005. "Empirical Comparison of Sticky Price and Sticky Information Models," Macroeconomics 0510004, EconWPA.
  8. 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.
  9. Yuriy Gorodnichenko & Olivier Coibion, 2010. "What can survey forecasts tell us about informational rigidities?," 2010 Meeting Papers 277, Society for Economic Dynamics.
  10. Klenow, Peter J. & Willis, Jonathan L., 2007. "Sticky information and sticky prices," Journal of Monetary Economics, Elsevier, vol. 54(Supplemen), pages 79-99, September.
  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. Lucas, Robert E, Jr, 1973. "Some International Evidence on Output-Inflation Tradeoffs," American Economic Review, American Economic Association, vol. 63(3), pages 326-34, June.
  13. Carrera Cesar, 2012. "Estimating Information Rigidity Using Firms' Survey Data," The B.E. Journal of Macroeconomics, De Gruyter, vol. 12(1), pages 1-34, June.
  14. 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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