Heterogeneity of Gain-Loss Attitudes and Expectations-Based Reference Points

53 Pages Posted: 28 May 2020

See all articles by Lorenz Goette

Lorenz Goette

University of Bonn

Thomas Graeber

Harvard Business School

Alexandre Kellogg

University of California, San Diego (UCSD)

Charles Sprenger

University of California, San Diego (UCSD)

Date Written: March 2, 2019

Abstract

This project examines the role of heterogeneity in gain-loss attitudes for identi- fying models of expectations-based reference dependence (Kőszegi and Rabin, 2006, 2007) (KR). Different gain-loss attitudes lead to different signs for KR comparative statics. Failure to account for the known heterogeneity in gain-loss attitudes is a central confounding factor challenging prior tests of the KR model conducted under the assumption of universal loss aversion. We document heterogeneous treatment effects over gain-loss types in both an initial experiment and an exact replication. Recognizing heterogeneity over types allows us to both recover the KR model’s central predictions, and account for inconsistency across prior empirical tests.

Keywords: Reference-Dependent Preferences, Rational Expectations, Personal Equilibrium, Endowment Effect, Expectations-Based Reference Points

JEL Classification: D81, D84, D12, D03

Suggested Citation

Goette, Lorenz and Graeber, Thomas and Kellogg, Alexandre and Sprenger, Charles, Heterogeneity of Gain-Loss Attitudes and Expectations-Based Reference Points (March 2, 2019). Available at SSRN: https://ssrn.com/abstract=3589906 or http://dx.doi.org/10.2139/ssrn.3589906

Lorenz Goette

University of Bonn ( email )

Regina-Pacis-Weg 3
Postfach 2220
Bonn, D-53012
Germany

Thomas Graeber

Harvard Business School ( email )

Soldiers Field
Boston, MA 02163
United States

HOME PAGE: http://thomasgraeber.com/

Alexandre Kellogg (Contact Author)

University of California, San Diego (UCSD) ( email )

9500 Gilman Drive
Mail Code 0502
La Jolla, CA 92093-0112
United States

Charles Sprenger

University of California, San Diego (UCSD) ( email )

9500 Gilman Drive
Mail Code 0502
La Jolla, CA 92093-0112
United States

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