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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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    References listed on IDEAS

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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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