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Forecasting Inflation Rate: Professional Against Academic, Which One is More Accurate

Author

Listed:
  • Hossein Hassani

    (University of Tehran)

  • Jan Coreman

    (Bournemouth University)

  • Saeed Heravi

    (Cardiff University)

  • Joshy Easaw

    (Swansea University)

Abstract

This paper evaluates the professional forecasts, those made by financial and non-financial forecasters and the aggregate between them, by comparing their results to academic forecasts. The US quarterly inflation rate and the professional forecasts are considered for the period of 1981 third quarter to 2012 final quarter. This paper examines whether academic forecasts outperforms the professional forecasts. For short term inflation forecasting the professional forecasters (non-financial, financial and the aggregate) proved to be the most accurate, however for long term inflation forecasting academic forecasts showed to be most accurate. The results also indicate that the long term aggregate forecasts related to information from the aggregate short term forecasts and current inflation rate. Furthermore, financial forecasters use the short term non-financial forecasts in their expectations and the non-financial forecasters use the short term financial forecasts in their long term expectations. In addition, the results confirm causality between the short and long term forecasts of the non-financial forecasters. For the financial inflation forecasts, there is no causality between the short and long term financial forecasts.

Suggested Citation

  • Hossein Hassani & Jan Coreman & Saeed Heravi & Joshy Easaw, 2018. "Forecasting Inflation Rate: Professional Against Academic, Which One is More Accurate," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(3), pages 631-646, September.
    • Handle: RePEc:spr:jqecon:v:16:y:2018:i:3:d:10.1007_s40953-017-0114-3
    DOI: 10.1007/s40953-017-0114-3
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    References listed on IDEAS

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    1. Easaw Joshy & Golinelli Roberto, 2010. "Households Forming Inflation Expectations: Active and Passive Absorption Rates," The B.E. Journal of Macroeconomics, De Gruyter, vol. 10(1), pages 1-32, November.
    2. N. Gregory Mankiw & Ricardo Reis, 2002. "Sticky Information versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(4), pages 1295-1328.
    3. Bartosz Mackowiak & Mirko Wiederholt, 2009. "Optimal Sticky Prices under Rational Inattention," American Economic Review, American Economic Association, vol. 99(3), pages 769-803, June.
    4. Emmanuel Sirimal Silva & Hossein Hassani, 2015. "On the use of singular spectrum analysis for forecasting U.S. trade before, during and after the 2008 recession," International Economics, CEPII research center, issue 141, pages 34-49.
    5. 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.
    6. Ben S. Bernanke, 2007. "Inflation expectations and inflation forecasting," Speech 306, Board of Governors of the Federal Reserve System (U.S.).
    7. Reis, Ricardo, 2006. "Inattentive consumers," Journal of Monetary Economics, Elsevier, vol. 53(8), pages 1761-1800, November.
    8. Clements, Michael P., 2012. "Do professional forecasters pay attention to data releases?," International Journal of Forecasting, Elsevier, vol. 28(2), pages 297-308.
    9. Gefang, Deborah & Koop, Gary & Potter, Simon M., 2012. "The dynamics of UK and US inflation expectations," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3120-3133.
    10. Huang, Xu & Hassani, Hossein & Ghodsi, Mansi & Mukherjee, Zinnia & Gupta, Rangan, 2017. "Do trend extraction approaches affect causality detection in climate change studies?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 604-624.
    11. Christopher D. Carroll, 2003. "Macroeconomic Expectations of Households and Professional Forecasters," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(1), pages 269-298.
    12. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    13. Sims, Christopher A., 2003. "Implications of rational inattention," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 665-690, April.
    14. repec:fip:fedgsq:y:2007:i:jul10 is not listed on IDEAS
    15. Ricardo Reis, 2006. "Inattentive Producers," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 73(3), pages 793-821.
    16. Hossein Hassani & Saeed Heravi & Anatoly Zhigljavsky, 2013. "Forecasting UK Industrial Production with Multivariate Singular Spectrum Analysis," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(5), pages 395-408, August.
    17. Kerry Patterson & Hossein Hassani & Saeed Heravi & Anatoly Zhigljavsky, 2011. "Multivariate singular spectrum analysis for forecasting revisions to real-time data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(10), pages 2183-2211.
    18. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    19. repec:cii:cepiie:2015-q1-141-30 is not listed on IDEAS
    20. Meredith J. Beechey & Benjamin K. Johannsen & Andrew T. Levin, 2011. "Are Long-Run Inflation Expectations Anchored More Firmly in the Euro Area Than in the United States?," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(2), pages 104-129, April.
    21. Hassani, Hossein & Heravi, Saeed & Zhigljavsky, Anatoly, 2009. "Forecasting European industrial production with singular spectrum analysis," International Journal of Forecasting, Elsevier, vol. 25(1), pages 103-118.
    22. Hossein Hassani & Abdol S. Soofi & Anatoly Zhigljavsky, 2013. "Predicting inflation dynamics with singular spectrum analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(3), pages 743-760, June.
    23. Michael Woodford, 2001. "Imperfect Common Knowledge and the Effects of Monetary Policy," NBER Working Papers 8673, National Bureau of Economic Research, Inc.
    24. repec:cii:cepiei:2015-q1-141-3 is not listed on IDEAS
    25. Sushil Bikhchandani & David Hirshleifer & Ivo Welch, 1998. "Learning from the Behavior of Others: Conformity, Fads, and Informational Cascades," Journal of Economic Perspectives, American Economic Association, vol. 12(3), pages 151-170, Summer.
    26. repec:ags:aaea07:366 is not listed on IDEAS
    27. Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June.
    28. Patterson, K D & Heravi, S M, 1992. "Efficient Forecasts or Measurement Errors? Some Evidence for Revisions to United Kingdom GDP Growth Rates," The Manchester School of Economic & Social Studies, University of Manchester, vol. 60(3), pages 249-263, September.
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    Cited by:

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