Measuring Consumer Risk-Return Tradeoffs

38 Pages Posted: 13 Oct 2005

See all articles by Daniel G. Goldstein

Daniel G. Goldstein

Microsoft Corporation - Microsoft Research, New York City

Eric J. Johnson

Columbia University - Columbia Business School, Marketing

William F. Sharpe

Stanford University - Graduate School of Business

Date Written: January 4, 2006

Abstract

Consumer choice occurs over multiple products and services, each comprising multiple risks. In this paper, we present a new market research technique to measure consumers' preferences over large spaces of risks. We first describe the method, present its psychological and analytical motivation, and then report the results of empirical tests of reliability and validity, both within testing sessions and across the span of one year. The method is used to estimate the coefficient of relative risk aversion and the loss aversion parameter for a sample of adults saving for retirement. The new technique passes tests of reliability and validation and captures individual differences based on age and income. It also identifies two sub-populations, one best fit by a more classical model of risk preference, and the other by a behavioral model which incorporates loss aversion.

Keywords: marketing research tools, consumer behavior, decision-making, parameter estimation, measurement, segmentation, risk, utility, uncertainty

JEL Classification: D8, D9, E2, J0, N2, N3

Suggested Citation

Goldstein, Daniel G. and Johnson, Eric J. and Sharpe, William F., Measuring Consumer Risk-Return Tradeoffs (January 4, 2006). Available at SSRN: https://ssrn.com/abstract=819065 or http://dx.doi.org/10.2139/ssrn.819065

Daniel G. Goldstein (Contact Author)

Microsoft Corporation - Microsoft Research, New York City ( email )

300 Lafayette St
New York, NY NY 10012
United States

Eric J. Johnson

Columbia University - Columbia Business School, Marketing ( email )

New York, NY 10027
United States

William F. Sharpe

Stanford University - Graduate School of Business ( email )

655 Knight Way
Stanford, CA 94305-5015
United States
650-725-4876 (Phone)
650-725-7979 (Fax)

HOME PAGE: http://www.wsharpe.com

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
1,682
Abstract Views
9,956
Rank
23,006
PlumX Metrics