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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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    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.
    2. Ece Oral & Hülya Saygili & Mesut Saygili & S. Özge Tuncel, 2011. "Inflation Expectations in Turkey: Evidence from Panel Data," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2011(1), pages 5-28.
    3. Pesaran, M. Hashem & Weale, Martin, 2006. "Survey Expectations," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 14, pages 715-776, Elsevier.
    4. Joakim Westerlund, 2007. "Testing for Error Correction in Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(6), pages 709-748, December.
    5. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    6. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    7. Beck, Nathaniel & Katz, Jonathan N., 1995. "What To Do (and Not to Do) with Time-Series Cross-Section Data," American Political Science Review, Cambridge University Press, vol. 89(3), pages 634-647, September.
    8. Rich, Robert W, 1989. "Testing the Rationality of Inflation Forecasts from Survey Data: Another Look at the SRC Expected Price Change Data," The Review of Economics and Statistics, MIT Press, vol. 71(4), pages 682-686, November.
    9. 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.
    10. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    11. Fama, Eugene F. & Gibbons, Michael R., 1984. "A comparison of inflation forecasts," Journal of Monetary Economics, Elsevier, vol. 13(3), pages 327-348, May.
    12. Hasan Bakhshi & Anthony Yates, 1998. "Are UK inflation expectations rational?," Bank of England working papers 81, Bank of England.
    13. Smyth, David J., 1992. "Measurement errors in survey forecasts of expected inflation and the rationality of inflation expectations," Journal of Macroeconomics, Elsevier, vol. 14(3), pages 439-448.
    14. Luis Gil‐Alana & Antonio Moreno & Fernando Pérez de Gracia, 2012. "Exploring Survey‐Based Inflation Forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 31(6), pages 524-539, September.
    15. Pearce, Douglas K, 1987. "Short-term Inflation Expectations: Evidence from a Monthly Survey: A Note," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 19(3), pages 388-395, August.
    16. Pearce, Douglas K, 1979. "Comparing Survey and Rational Measures of Expected Inflation: Forecast Performance and Interest Rate Effects," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 11(4), pages 447-456, November.
    17. Mullineaux, Donald J, 1978. "On Testing for Rationality: Another Look at the Livingston Price Expectations Data," Journal of Political Economy, University of Chicago Press, vol. 86(2), pages 329-336, April.
    18. Lloyd B. Thomas, 1999. "Survey Measures of Expected U.S. Inflation," Journal of Economic Perspectives, American Economic Association, vol. 13(4), pages 125-144, Fall.
    19. Bonham, Carl & Cohen, Richard, 1995. "Testing the Rationality of Price Forecasts: Comment," American Economic Review, American Economic Association, vol. 85(1), pages 284-289, March.
    20. West, Kenneth D, 1988. "Asymptotic Normality, When Regressors Have a Unit Root," Econometrica, Econometric Society, vol. 56(6), pages 1397-1417, November.
    21. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
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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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