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Rationality of survey based inflation expectations: A study of 18 emerging economies’ inflation forecasts

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  • Miah, Fazlul
  • Rahman, M. Saifur
  • Albinali, Khalid

Abstract

This study investigates rationality of inflation expectations of 18 emerging economies’ inflation rates using 10 years (2001–2011) of one month-ahead consensus survey forecasts of annual inflation rate from a data source previously unexploited by the researchers. Given the nature of the data, we use the panel method to assess the relationship between the actual and the expected inflation rates. We perform various diagnostic tests to identify the appropriate panel test for the data by applying the most recent econometric techniques. We use a recently developed panel regression method based on simple OLS technique but derive standard errors corrected for serial correlation, panel heterogeneity and cross-sectional dependence. Empirical results show that forecasters’ expectations are strongly unbiased, and efficient to most commonly used sources of information including money supply and oil prices. This research fills the gap in the existing literature by studying a large cross section of emerging economies inflation rates as there is no comprehensive study on the issue for these economies.

Suggested Citation

  • Miah, Fazlul & Rahman, M. Saifur & Albinali, Khalid, 2016. "Rationality of survey based inflation expectations: A study of 18 emerging economies’ inflation forecasts," Research in International Business and Finance, Elsevier, vol. 36(C), pages 158-166.
    • Handle: RePEc:eee:riibaf:v:36:y:2016:i:c:p:158-166
    DOI: 10.1016/j.ribaf.2015.09.029
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    Cited by:

    1. Oscar Claveria & Enric Monte & Salvador Torra, 2019. "Empirical modelling of survey-based expectations for the design of economic indicators in five European regions," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 46(2), pages 205-227, May.
    2. Miah, Fazlul & Khalifa, Ahmed Ali & Hammoudeh, Shawkat, 2016. "Further evidence on the rationality of interest rate expectations: A comprehensive study of developed and emerging economies," Economic Modelling, Elsevier, vol. 54(C), pages 574-590.
    3. Trabelsi, Emna, 2016. "Central bank transparency and the consensus forecast: What does The Economist poll of forecasters tell us?," Research in International Business and Finance, Elsevier, vol. 38(C), pages 338-359.
    4. Xu, Kun & Cheng, Jian-hua & Xu, Wenli, 2016. "通胀及通胀预期冲击的动态特征分析 [Study on Dynamics of Inflation and Inflation Expectation Shocks in China]," MPRA Paper 71977, University Library of Munich, Germany.
    5. Helder Ferreira de Mendonça & Pedro Mendes Garcia & José Valentim Machado Vicente, 2021. "Rationality and anchoring of inflation expectations: An assessment from survey‐based and market‐based measures," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(6), pages 1027-1053, September.

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    More about this item

    Keywords

    Inflation forecasts; Consensus survey; Rational expectations; Cross-sectional dependence; Panel estimation;
    All these keywords.

    JEL classification:

    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications
    • 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

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