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Inflation Targeting and Inflation Expectations: Evidence for Brazil and Turkey

Author

Listed:
  • Sumru Altug

    (Department of Economics, Koc University, CEPR)

  • Cem Cakmakli

    (Department of Economics, Koc University, Department of Quantitative Economics, University of Amsterdam)

Abstract

In this paper, we study the evolution of inflation expectations for two key emerging economies, Brazil and Turkey, using a reduced form model in a state-space framework, where the level of inflation is modeled explicitly. We match the survey-based inflation expectations and inflation targets set by the central banks of Brazil and Turkey with the predictions implied by the model in a statistically coherent way. Confronting these expectations with inflation targets leads to a statistical measure of the discrepancy between inflation expectations and the target inflation. The results indicate that inflation expectations are anchored more closely the inflation target set by the Central Bank for Brazil. By contrast, there is more evidence that inflation expectations deviate significantly from the target inflation set by the Central Bank for Turkey.

Suggested Citation

  • Sumru Altug & Cem Cakmakli, 2014. "Inflation Targeting and Inflation Expectations: Evidence for Brazil and Turkey," Koç University-TUSIAD Economic Research Forum Working Papers 1413, Koc University-TUSIAD Economic Research Forum.
  • Handle: RePEc:koc:wpaper:1413
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    File URL: http://eaf.ku.edu.tr/sites/eaf.ku.edu.tr/files/erf_wp_1413.pdf
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    1. McCallum, Bennett T & Nelson, Edward, 2000. "Monetary Policy for an Open Economy: An Alternative Framework with Optimizing Agents and Sticky Prices," Oxford Review of Economic Policy, Oxford University Press, vol. 16(4), pages 74-91, Winter.
    2. John H. Cochrane, 2011. "Determinacy and Identification with Taylor Rules," Journal of Political Economy, University of Chicago Press, vol. 119(3), pages 565-615.
    3. Manuela Goretti, 2005. "The Brazilian currency turmoil of 2002: a nonlinear analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 10(4), pages 289-306.
    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. Siem Jan Koopman & Kai Ming Lee, 2009. "Seasonality with trend and cycle interactions in unobserved components models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(4), pages 427-448, September.
    6. Sophocles Mavroeidis & Mikkel Plagborg-Møller & James H. Stock, 2014. "Empirical Evidence on Inflation Expectations in the New Keynesian Phillips Curve," Journal of Economic Literature, American Economic Association, vol. 52(1), pages 124-188, March.
    7. Roberts, John M., 1997. "Is inflation sticky?," Journal of Monetary Economics, Elsevier, vol. 39(2), pages 173-196, July.
    8. Harvey,Andrew C., 1991. "Forecasting, Structural Time Series Models and the Kalman Filter," Cambridge Books, Cambridge University Press, number 9780521405737, October.
    9. Klaus Adam & Mario Padula, 2011. "Inflation Dynamics And Subjective Expectations In The United States," Economic Inquiry, Western Economic Association International, vol. 49(1), pages 13-25, January.
    10. Harvey, A C & Jaeger, A, 1993. "Detrending, Stylized Facts and the Business Cycle," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(3), pages 231-247, July-Sept.
    11. Ahmet Faruk Aysan & Salih Fendoğlu & Mustafa Kilinç, 2015. "Macroprudential Policies As Buffer Against Volatile Cross-Border Capital Flows," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 60(01), pages 1-26.
    12. Chernov, Mikhail & Mueller, Philippe, 2012. "The term structure of inflation expectations," Journal of Financial Economics, Elsevier, vol. 106(2), pages 367-394.
    13. Batini, Nicoletta & Harrison, Richard & Millard, Stephen P., 2003. "Monetary policy rules for an open economy," Journal of Economic Dynamics and Control, Elsevier, vol. 27(11-12), pages 2059-2094, September.
    14. Kabundi, Alain & Schaling, Eric & Some, Modeste, 2015. "Monetary policy and heterogeneous inflation expectations in South Africa," Economic Modelling, Elsevier, vol. 45(C), pages 109-117.
    15. International Monetary Fund, 2011. "Macroprudential Policy: What Instruments and How to Use them? Lessons From Country Experiences," IMF Working Papers 2011/238, International Monetary Fund.
    16. Negro, Marco Del & Schorfheide, Frank, 2013. "DSGE Model-Based Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 57-140, Elsevier.
    17. Andrew Harvey, 2011. "Modelling the Phillips curve with unobserved components," Applied Financial Economics, Taylor & Francis Journals, vol. 21(1-2), pages 7-17.
    18. A. Hakan Kara, 2008. "Turkish Experience With Implicit Inflation Targeting," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 8(1), pages 1-16.
    19. Gali, Jordi & Gertler, Mark, 1999. "Inflation dynamics: A structural econometric analysis," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 195-222, October.
    20. James H. Stock & Mark W. Watson, 2007. "Why Has U.S. Inflation Become Harder to Forecast?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 3-33, February.
    21. Sumru Altug & Erhan Uluceviz, 2013. "Identifying leading indicators of real activity and inflation for Turkey, 1988-2010: A pseudo out-of-sample forecasting approach," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2014(1), pages 1-37.
    22. Sophocles Mavroeidis, 2010. "Monetary Policy Rules and Macroeconomic Stability: Some New Evidence," American Economic Review, American Economic Association, vol. 100(1), pages 491-503, March.
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    More about this item

    Keywords

    Inflation targeting; survey-based inflation expectations; forecasting; state space model.;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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