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American Economic Review Vol. 110 No. 12 2020

What Makes a Rule Complex?

Ryan Oprea

Economics Department, University of California, Santa Barbara )

Abstract

We study the complexity of rules by paying experimental subjects to implement a series of algorithms and then eliciting their willingness-to-pay to avoid implementing them again in the future. The design allows us to examine hypotheses from the theoretical “automata” literature about the characteristics of rules that generate complexity costs. We find substantial aversion to complexity and a number of regularities in the characteristics of rules that make them complex and costly for subjects. Experience with a rule, the way a rule is represented, and the context in which a rule is implemented (mentally versus physically) also influence complexity.

DOI
10.1257/aer.20191717
Volume
110
Issue
12
Pages
3913-3951
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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