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Uncertainty - Definition and Classification for the Task of Economic Forecasting

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  • Mihail Yanchev

    (Sofia University St. Kliment Ohridski, Faculty of Economics and Business Administration)

Abstract

The aim of this text is to establish a working definition and classification of uncertainty for the task of economic forecasting. This is necessary in order to arrive at a common understanding of the term, reduce semantic ambiguity and define a clear distinction when it comes to quantifying forecast uncertainty. Two fundamental sources on uncertainty by John Maynard Keynes and Frank H. Knight are reviewed from the perspective of the classification of uncertainty into aleatoric and epistemic, which is a separation of growing use in engineering and machine learning. The concepts of aleatoric and epistemic uncertainty are explored and the possible ambiguity and interaction between them are discussed. Finally, a working definition and classification of uncertainty is laid out and refined for practical use in the context of economic forecasting.

Suggested Citation

  • Mihail Yanchev, 2023. "Uncertainty - Definition and Classification for the Task of Economic Forecasting," Bulgarian Economic Papers bep-2023-03, Faculty of Economics and Business Administration, Sofia University St Kliment Ohridski - Bulgaria // Center for Economic Theories and Policies at Sofia University St Kliment Ohridski, revised Mar 2023.
  • Handle: RePEc:sko:wpaper:bep-2023-03
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    References listed on IDEAS

    as
    1. Gilbert Faccarello & Heinz D. Kurz (ed.), 2016. "Handbook on the History of Economic Analysis Volume III," Books, Edward Elgar Publishing, number 13938.
    2. John Y. Campbell & N. Gregory Mankiw, 1989. "Consumption, Income, and Interest Rates: Reinterpreting the Time Series Evidence," NBER Chapters, in: NBER Macroeconomics Annual 1989, Volume 4, pages 185-246, National Bureau of Economic Research, Inc.
    3. repec:fth:harver:1435 is not listed on IDEAS
    4. King, Robert G. & Plosser, Charles I. & Stock, James H. & Watson, Mark W., 1991. "Stochastic Trends and Economic Fluctuations," American Economic Review, American Economic Association, vol. 81(4), pages 819-840, September.
    5. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    6. Robert J. Shiller, 1987. "Investor Behavior in the October 1987 Stock Market Crash: Survey Evidence," NBER Working Papers 2446, National Bureau of Economic Research, Inc.
    7. Gilbert Faccarello & Heinz D. Kurz (ed.), 2016. "Handbook on the History of Economic Analysis Volume II," Books, Edward Elgar Publishing, number 13937.
    8. Geoffrey Hodgson, 2011. "The Eclipse of the Uncertainty Concept in Mainstream Economics," Journal of Economic Issues, Taylor & Francis Journals, vol. 45(1), pages 159-176.
    9. Wagner Piazza Gaglianone & Luiz Renato Lima, 2012. "Constructing Density Forecasts from Quantile Regressions," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(8), pages 1589-1607, December.
    10. Gilbert Faccarello & Heinz D. Kurz (ed.), 2016. "Handbook on the History of Economic Analysis Volume I," Books, Edward Elgar Publishing, number 13936.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Frank H. Knight; John Maynard Keynes; uncertainty; economic forecasting;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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