Empirical investigation of some properties of the perceived riskiness of gambles

Abstract Empirical tests of some properties of the perceived riskiness of gambles are reported. In experiments conducted with U.S. and German subjects, we observed a remarkable consistency in risk judgments. Four possible measures of risk, derived by R. Duncan Luce, were examined. We found that risk decreases as a constant amount is added to all outcomes of a gamble. Two of Luce's measures require that risk not change with the addition of a constant, and thus these measures are not appropriate for describing perceived risk. We also found that Luce's logarithmic measure is not empirically valid. Luce's fourth measure (the expectation of the absolute value of the outcomes raised to a parameter θ) seems to have more promise than his other three measures. These results provide some necessary conditions that a new theory or extension of Luce's measures must satisfy.

[1]  Elke U. Weber,et al.  Combine and conquer: A joint application of conjoint and functional approaches to the problem of risk measurement , 1984 .

[2]  Alexander Pollatsek,et al.  A theory of risk , 1970 .

[3]  Clyde H. Coombs,et al.  Additivity of risk in portfolios , 1971 .

[4]  Lola L. Lopes Risk and Distributional Inequality. , 1984 .

[5]  Jordan J. Louviere,et al.  External validity tests of laboratory studies of information integration , 1983 .

[6]  A. Tversky,et al.  Prospect theory: analysis of decision under risk , 1979 .

[7]  Clyde H. Coombs,et al.  Tests of a portfolio theory of risk preference , 1970 .

[8]  Rakesh K. Sarin,et al.  Some extensions of Luce's measures of risk , 1987 .

[9]  Paul E. Lehner,et al.  Evaluation of two alternative models for a theory of risk: I. Are moments of distributions useful in assessing risk? , 1981 .

[10]  R. Duncan Luce,et al.  Several possible measures of risk , 1980 .

[11]  Peter C. Fishburn,et al.  Foundations of Risk Measurement. I. Risk As Probable Loss , 1984 .

[12]  Clyde H. Coombs,et al.  A test of ve-theories of risk and the effect of the central limit theorem , 1971 .

[13]  D. Ellsberg Decision, probability, and utility: Risk, ambiguity, and the Savage axioms , 1961 .

[14]  Elke U. Weber,et al.  An axiomatic theory of conjoint expected risk , 1986 .

[15]  Clyde H. Coombs,et al.  Polynomial psychophysics of risk , 1970 .

[16]  Paul E. Lehner,et al.  Conjoint Design and Analysis of the Bilinear Model: An Application to Judgments of Risk , 1984 .

[17]  Peter C. Fishburn,et al.  Foundations of risk measurement. II. Effects of gains on risk , 1982 .

[18]  A. Tversky,et al.  Prospect Theory : An Analysis of Decision under Risk Author ( s ) : , 2007 .