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Un Análisis de Comportamiento a Nivel de Agente de la Encuesta de Expectativas de Inflación del BCU
[A Behavior Analysis of the BCU Inflation Expectation Survey]

Author

Listed:
  • Borraz, Fernando
  • Gianelli, Diego

Abstract

Inflation expectations are key unobservable variables for decision-making, especially in managing monetary policy. Understand how to formulate them, if they are rational or adaptive is vital. This study answers these questions through a panel data analysis of the micro data from the inflation expectation survey of the Central Bank of Uruguay. The main findings indicate: i) a low predictive power of the analysts surveyed in the 12-month horizon; ii) a convergence of the individual forecasts to the released monthly median iii) an overweight of the inflation target ceiling and the dynamics of the inflation, and iv) a underweight of monetary policy instruments. With respect to the evidence of rationality, we find the partial use of available information and in some cases, there is a systematic bias.

Suggested Citation

  • Borraz, Fernando & Gianelli, Diego, 2010. "Un Análisis de Comportamiento a Nivel de Agente de la Encuesta de Expectativas de Inflación del BCU [A Behavior Analysis of the BCU Inflation Expectation Survey]," MPRA Paper 27713, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:27713
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    References listed on IDEAS

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    1. Dovern, Jonas & Weisser, Johannes, 2011. "Accuracy, unbiasedness and efficiency of professional macroeconomic forecasts: An empirical comparison for the G7," International Journal of Forecasting, Elsevier, vol. 27(2), pages 452-465.
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    3. Martin Cerisola & Gaston Gelos, 2009. "What drives inflation expectations in Brazil? An empirical analysis," Applied Economics, Taylor & Francis Journals, vol. 41(10), pages 1215-1227.
    4. 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.
    5. Laurence Ball & David Romer, 1990. "Real Rigidities and the Non-Neutrality of Money," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 57(2), pages 183-203.
    6. Keane, Michael P & Runkle, David E, 1990. "Testing the Rationality of Price Forecasts: New Evidence from Panel Data," American Economic Review, American Economic Association, vol. 80(4), pages 714-735, September.
    7. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    8. Bibiana Lanzilotta & Adrián Fernández & Gonzalo Zunino, 2008. "Evaluación de las proyecciones de analistas: la encuesta de expectativas de inflación del banco central," Monetaria, CEMLA, vol. 0(1), pages 1-25, enero-mar.
    9. George A. Akerlof & Janet L. Yellen, 1985. "A Near-Rational Model of the Business Cycle, with Wage and Price Inertia," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 100(Supplemen), pages 823-838.
    10. John M. Roberts, 1998. "Inflation expectations and the transmission of monetary policy," Finance and Economics Discussion Series 1998-43, Board of Governors of the Federal Reserve System (U.S.).
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    Cited by:

    1. Bucacos, Elizabeth, 2017. "Financial Conditions and Monetary Policy in Uruguay: An MS-VAR Approach," IDB Publications (Working Papers) 8275, Inter-American Development Bank.

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    More about this item

    Keywords

    inflation expectations; rationality; forecast errors;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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