Forecasting Risk Attitudes: An Experimental Study Using Actual and Forecast Gamble Choices

17 Pages Posted: 17 May 2011

See all articles by Catherine C. Eckel

Catherine C. Eckel

Texas A&M University

Philip J. Grossman

Monash University - Department of Economics

Date Written: October 1, 2008

Abstract

We develop and evaluate a simple gamble-choice task to measure attitudes toward risk, and apply this measure to examine differences in risk attitudes of male and female university students. In addition, we examine stereotyping by asking whether a person's sex is read as a signal of risk preference. Subjects choose which of five 50/50 gambles they wish to play. The gambles include one sure thing; the remaining four increase (linearly) in expected payoff and risk. Each subject also is asked to guess which of the five gambles each of the other subjects chose, and is paid for correct guesses. The experiment is conducted under three different frames: an abstract frame where the two highest-payoff gambles carry the possibility of losses, an abstract frame with no losses, and an investment frame that mirrors the payoff structure of the former. We find that women are significantly more risk averse than men in all three settings, and predictions of both women and men tend to confirm this difference. While average guesses reflect the average difference in choices, only 27 percent of guesses are accurate, which is slightly higher than chance.

Keywords: Risk Aversion, Experiment, Gender, Stereotyping

JEL Classification: C91, D8, J16

Suggested Citation

Eckel, Catherine C. and Grossman, Philip J., Forecasting Risk Attitudes: An Experimental Study Using Actual and Forecast Gamble Choices (October 1, 2008). Journal of Economic Behavior and Organization, Vol. 68, No. 1, 2008, Available at SSRN: https://ssrn.com/abstract=1843394

Catherine C. Eckel (Contact Author)

Texas A&M University ( email )

5201 University Blvd.
College Station, TX 77843-4228
United States

Philip J. Grossman

Monash University - Department of Economics ( email )

Wellington Road
Clayton, 3800
Australia
61399020052 (Phone)

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