Economic models as analogies

Itzhak Gilboa, Andrew Postlewaite*, Larry Samuelson, David Schmeidler

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

56 Scopus citations

Abstract

People often wonder why economists analyse models whose assumptions are known to be false, while economists feel that they learn a lot from such exercises. We suggest that part of the knowledge generated by academic economists is case-based rather than rule-based. That is, instead of offering general rules or theories that should be contrasted with data, economists often analyse models that are 'theoretical cases', which help understand economic problems by drawing analogies between the model and the problem. Thus, economic models, empirical data, experimental results and other sources of knowledge are all on equal footing, that is, they all provide cases to which a given problem can be compared. We offer complexity arguments that explain why case-based reasoning may sometimes be the method of choice and why economists prefer simple cases.

Original languageEnglish
Pages (from-to)F513-F533
JournalEconomic Journal
Volume124
Issue number578
DOIs
StatePublished - Aug 2014

Funding

FundersFunder number
Fonds National de la Reserche Luxembourg269754
National Science FoundationSES-1153893, SES-0961540

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