Econographics

63 Pages Posted: 28 Aug 2018 Last revised: 14 Feb 2021

See all articles by Jonathan Chapman

Jonathan Chapman

New York University (NYU) - New York University Abu Dhabi

Mark Dean

Columbia University

Pietro Ortoleva

Princeton University - Department of Economics

Erik Snowberg

California Institute of Technology - Division of the Humanities and Social Sciences; National Bureau of Economic Research (NBER)

Colin Camerer

California Institute of Technology - Division of the Humanities and Social Sciences

Multiple version iconThere are 2 versions of this paper

Date Written: August 2018

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 and find a number of relations that partly confirm, but also add nuance, to previous findings.

Suggested Citation

Chapman, Jonathan and Dean, Mark and Ortoleva, Pietro and Snowberg, Erik and Camerer, Colin F., Econographics (August 2018). Available at SSRN: https://ssrn.com/abstract=3239267

Jonathan Chapman (Contact Author)

New York University (NYU) - New York University Abu Dhabi ( email )

PO Box 129188
Abu Dhabi
United Arab Emirates

Mark Dean

Columbia University ( email )

3022 Broadway
New York, NY 10027
United States

Pietro Ortoleva

Princeton University - Department of Economics ( email )

Princeton, NJ 08544-1021
United States

Erik Snowberg

California Institute of Technology - Division of the Humanities and Social Sciences ( email )

1200 East California Blvd.
Pasadena, CA 91125
United States

National Bureau of Economic Research (NBER)

1050 Massachusetts Avenue
Cambridge, MA 02138
United States

Colin F. Camerer

California Institute of Technology - Division of the Humanities and Social Sciences ( email )

1200 East California Blvd.
Pasadena, CA 91125
United States
626-395-4054 (Phone)
626-432-1726 (Fax)

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