Published August 2018 | Version Submitted
Working Paper Open

Econographics

Abstract

We study the pattern of correlations across a large number of behavioral regularities, with the goal of creating an empirical basis for more comprehensive theories of decision-making. We elicit 21 behaviors using an incentivized survey on a representative sample (n = 1;000) of the U.S. population. Our data show a clear and relatively simple structure underlying the correlations between these measures. Using principal components analysis, we reduce the 21 variables to six components corresponding to clear clusters of high correlations. We examine the relationship between these components, cognitive ability, and demographics, and discuss the theoretical implications of the structure we uncover.

Additional Information

Written: Aug. 2018. Posted: 31 Oct 2018. CESifo Working Paper No. 7202. We thank Douglas Bernheim, Benedetto De Martino, Stefano Della Vigna, Xavier Gabaix, Daniel Gottlieb, Eric Johnson, David Laibson, Graham Loomes, Ulrike Malmandier, Matthew Rabin, Peter Wakker, Michael Woodford, and the participants of seminars and conferences for their useful comments and suggestions. Daniel Chawla provided excellent research assistance. Camerer, Ortoleva, and Snowberg gratefully acknowledge the finanancial support of NSF Grant SMA-1329195.

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Submitted - SSRN-id3239267.pdf

Submitted - SSRN-id3275375.pdf

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Additional details

Identifiers

Eprint ID
102151
Resolver ID
CaltechAUTHORS:20200327-132527874

Related works

Funding

NSF
SMA-1329195

Dates

Created
2020-03-27
Created from EPrint's datestamp field
Updated
2020-03-27
Created from EPrint's last_modified field

Caltech Custom Metadata

Other Numbering System Name
CESifo Working Paper
Other Numbering System Identifier
7202