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Econometrica Vol. 91 No. 2 2023

Is Attention Produced Optimally? Theory and Evidence From Experiments With Bandwidth Enhancements

Erin Todd Bronchetti1; Judd B. Kessler2,3; Ellen Magenheim1; Dmitry Taubinsky4,3; Eric Zwick5,3

1 Department of Economics, Swarthmore College · 2 The Wharton School, University of Pennsylvania · 3 NBER · 4 Department of Economics, UC Berkeley · 5 Booth School of Business, University of Chicago

open access

Abstract

This paper develops and deploys a methodology for testing whether people correctly value tools that reduce attention costs. We call these tools bandwidth enhancements (BEs) and characterize how demand for BEs varies with the pecuniary incentives to be attentive, under the null hypothesis of correct perceptions and optimal choice. We examine if the theoretical optimality conditions are satisfied in three experiments. The first is a field experiment ( n = 1373) with an online education platform, in which we randomize incentives to complete course modules and incentives to utilize a plan‐making tool to complete the modules. In the second experiment ( n = 2306), participants must complete a survey in the future. We randomize survey‐completion incentives and how long participants must wait to complete the survey, and we elicit willingness to pay for reminders. The third experiment ( n = 1465) involves a psychometric task in which participants must identify whether there are more correct or incorrect mathematical equations in an image. We vary incentives for accuracy, elicit willingness to pay to reduce task difficulty, and examine the impact of learning and feedback. In all experiments, demand for reducing attention costs increases as incentives for accurate task completion increase. However, in all experiments—and across all conditions—our tests imply that this increase in demand is too small relative to the null of correct perceptions. These results suggest that people may be uncertain or systematically biased about their attention cost functions, and that experience and feedback do not necessarily eliminate bias.

DOI
10.3982/ecta20400
Volume
91
Issue
2
Pages
669-707
Language
en
Sources
bibtex:phds-export.bib crossref openalex

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