Abstract

 
 

References (60)



 
 

Citations (26)



 


 



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


Catherine C. Eckel


Texas A&M University

Philip J. Grossman


Monash University

October 1, 2008

Journal of Economic Behavior and Organization, Vol. 68, No. 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.

Number of Pages in PDF File: 17

Keywords: Risk Aversion, Experiment, Gender, Stereotyping

JEL Classification: C91, D8, J16

Accepted Paper Series


Download This Paper

Date posted: May 17, 2011  

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: http://ssrn.com/abstract=1843394

Contact Information

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 ( email )
wellington road
Clayton, victoria 3800
Australia
+61399020052 (Phone)
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 235
Downloads: 52
Download Rank: 197,216
References:  60
Citations:  26

© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was processed by apollo4 in 0.422 seconds