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The Limitations of Growth-Optimal Approaches to Decision Making Under Uncertainty

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  • Matthew C. Ford
  • John A. Kay

Abstract

A new research programme in ‘ergodicity economics’ advanced by Ole Peters and others has reinvigorated interest in growth-optimal approaches to decision making under uncertainty. We show that ergodicity economics is best understood as traditional growth optimisation with a new metaphysical justification. We also show that growth-optimal approaches to decision making are necessarily always incompatible with expected utility theory, and that this imposes limitations upon those approaches. Drawing on this result, we show that ergodicity economics’ justification, which seeks to exclude psychological factors, is unpersuasive: psychology is necessarily fundamental to any general theory of decision making under uncertainty. In contrast, we show that the critiques levelled at utility theories by ‘ergodicity economics’ researchers are based on a misunderstanding of how these theories work.

Suggested Citation

  • Matthew C. Ford & John A. Kay, 2023. "The Limitations of Growth-Optimal Approaches to Decision Making Under Uncertainty," Econ Journal Watch, Econ Journal Watch, vol. 20(2), pages 314–334-3, September.
  • Handle: RePEc:ejw:journl:v:20:y:2023:i:2:p:314-334
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    More about this item

    Keywords

    Ergodicity economics; expected utility theory; decision making under uncertainty; growth optimality;
    All these keywords.

    JEL classification:

    • A12 - General Economics and Teaching - - General Economics - - - Relation of Economics to Other Disciplines
    • B40 - Schools of Economic Thought and Methodology - - Economic Methodology - - - General
    • B59 - Schools of Economic Thought and Methodology - - Current Heterodox Approaches - - - Other
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations

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