Scholarly Comments on Academic Economics

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

by and

Read this article

Access statistics
2,590 article downloads
3,801 complete issue downloads
Total: 6,391

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.

Response to this article by Oliver Hulme, Arne Vanhoyweghen, Colm Connaughton, Ole Peters, Simon Steinkamp, Alexander Adamou, Dominik Baumann, Vincent Ginis, Bert Verbruggen, James Price, and Benjamin Skjold: Reply to “The Limitations of Growth-Optimal Approaches to Decision Making Under Uncertainty” (EJW, September 2023).

in

Download this article

Volume (Issue)
Pages
314–334
Published
JEL classification
A12, B40, B59, D81, D84
Keywords
Ergodicity economics, expected utility theory, decision making under uncertainty, growth optimality
Downloads
2,590 article downloads
3,801 complete issue downloads
Total: 6,391

Discuss this article!