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New Information And Updating Of Market Experts' Inflation Expectations

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  • ARNILDO DA SILVA CORREA
  • PAULO PICCHETTI

Abstract

This paper investigates how the disclosure of new information regarding the recent behavior of inflation affects inflation expectations. Using a panel of more than 100 professional forecasters and the release of a signal about the inflation rate to identify the effects, we find that new information leads individual forecasters to update their expectations immediately. However, the parameter is not very high, which is consistent with sticky information and staggered updating of expectations. The precision of new information matters as well: when precision increases, agents put more weight on the piece of information received, which is consistent with Morris and Shin's (2002) model. These results are found to be robust, and absent in placebo regressions. Finally, estimates suggest that the magnitude of the update depends on the distance between the signal that agents receive and their current expectations.
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Suggested Citation

  • Arnildo Da Silva Correa & Paulo Picchetti, 2016. "New Information And Updating Of Market Experts' Inflation Expectations," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 053, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    • Handle: RePEc:anp:en2015:053
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    References listed on IDEAS

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    1. Terui, Nobuhiko & van Dijk, Herman K., 2002. "Combined forecasts from linear and nonlinear time series models," International Journal of Forecasting, Elsevier, vol. 18(3), pages 421-438.
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    3. 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.
    4. Bartosz Mackowiak & Mirko Wiederholt, 2009. "Optimal Sticky Prices under Rational Inattention," American Economic Review, American Economic Association, vol. 99(3), pages 769-803, June.
    5. Ball, Laurence & Gregory Mankiw, N. & Reis, Ricardo, 2005. "Monetary policy for inattentive economies," Journal of Monetary Economics, Elsevier, vol. 52(4), pages 703-725, May.
    6. Carvalho, Fabia A. & Minella, André, 2012. "Survey forecasts in Brazil: A prismatic assessment of epidemiology, performance, and determinants," Journal of International Money and Finance, Elsevier, vol. 31(6), pages 1371-1391.
    7. Luigi Paciello & Mirko Wiederholt, 2014. "Exogenous Information, Endogenous Information, and Optimal Monetary Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(1), pages 356-388.
    8. Olivier Coibion, 2010. "Testing the Sticky Information Phillips Curve," The Review of Economics and Statistics, MIT Press, vol. 92(1), pages 87-101, February.
    9. Michael J. Lamla & Samad Sarferaz, 2012. "Updating inflation expectations," KOF Working papers 12-301, KOF Swiss Economic Institute, ETH Zurich.
    10. Ricardo Reis, 2011. "When Should Policymakers Make Announcements?," 2011 Meeting Papers 122, Society for Economic Dynamics.
    11. Crowe, Christopher, 2010. "Testing the transparency benefits of inflation targeting: Evidence from private sector forecasts," Journal of Monetary Economics, Elsevier, vol. 57(2), pages 226-232, March.
    12. Sims, Christopher A., 2003. "Implications of rational inattention," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 665-690, April.
    13. Stephen Morris & Hyun Song Shin, 2002. "Social Value of Public Information," American Economic Review, American Economic Association, vol. 92(5), pages 1521-1534, December.
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    Cited by:

    1. Cambara, Leilane de Freitas Rocha & Meurer, Roberto & Lima, Gilberto Tadeu, 2022. "Deviating from full rationality but not from theoretical consistency: The behavior of inflation expectations in Brazil," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 492-501.
    2. de Mendonça, Helder Ferreira & Vereda, Luciano & Araujo, Mateus de Azevedo, 2022. "What type of information calls the attention of forecasters? Evidence from survey data in an emerging market," Journal of International Money and Finance, Elsevier, vol. 129(C).
    3. Leilane de Freitas Rocha Cambara & Roberto Meurer, Gilberto Tadeu Lima, 2019. "Deviating from Perfect Foresight but not from Theoretical Consistency: The Behavior of Inflation Expectations in Brazil," Working Papers, Department of Economics 2019_36, University of São Paulo (FEA-USP).
    4. Wagner Piazza Gaglianone, 2017. "Empirical Findings on Inflation Expectations in Brazil: a survey," Working Papers Series 464, Central Bank of Brazil, Research Department.

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