Decision making under ignorance: Arguing with yourself

The metaphor of gambling has had great influence on the topic of choice under uncertainty. However, in many real-world situations, people must make choices when they lack information about the relevant economic features of gambles, i.e., probabilities and outcomes. We refer to this as choice under ignorance as opposed to choice under risk or uncertainty. We propose that people handle these decisions by generating rationales or arguments that allow them to resolve the choice conflict. Moreover, these rationales often do not correspond to principles derived from the cost-benefit framework of economic models. These ideas are explored in two experiments in which subjects simulated the purchase of warranties for consumer durables. Our principal findings are, first, that observable behaviors differ between situations where subjects do and do not have information on probabilities and outcomes. Second, economic cost-benefit models did not yield good descriptions of our subjects' decisions. Third, the nature of arguments used, and thus the processes invoked, differed as a function of the information available to subjects. And fourth, subjects' arguments indicated two types of strategies for reaching decisions. In one, they processed the particular characteristics of each choice option; in the other, they invoked a “meta-rule” or principle that resolved the choice conflict and was insensitive to the particular features of different options. Finally, we discuss the implications of our results. This includes questioning the appropriateness of using the gamble as a metaphor for choice in future research.

[1]  I. Simonson,et al.  Choice Based on Reasons: The Case of Attraction and Compromise Effects , 1989 .

[2]  Henry Montgomery,et al.  Decision Rules and the Search for a Dominance Structure: Towards a Process Model of Decision Making* , 1983 .

[3]  Eric J. Johnson,et al.  Behavioral decision research: A constructive processing perspective. , 1992 .

[4]  Shawn P. Curley,et al.  The center and range of the probability interval as factors affecting ambiguity preferences , 1985 .

[5]  Eldar Shafir,et al.  Reason-based choice , 1993, Cognition.

[6]  S. Kafandaris Decision Sciences: An Integrative Perspective , 1993 .

[7]  Howard Kunreuther,et al.  Risk, ambiguity, and insurance , 1989 .

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

[9]  Daniel N. Osherson,et al.  An advantage model of choice , 1989 .

[10]  Colin Camerer,et al.  Recent developments in modeling preferences: Uncertainty and ambiguity , 1992 .

[11]  Paul Slovic,et al.  Comparison of Bayesian and Regression Approaches to the Study of Information Processing in Judgment. , 1971 .

[12]  J. Jaffray,et al.  Rational Behavior under Complete Ignorance , 1980 .

[13]  Howard Kunreuther,et al.  Ambiguity and underwriter decision processes , 1995 .

[14]  Susan T. Fiske,et al.  Category-based versus piecemeal-based affective responses: Developments in schema-triggered affect. , 1986 .

[15]  R. Hogarth,et al.  BEHAVIORAL DECISION THEORY: PROCESSES OF JUDGMENT AND CHOICE , 1981 .

[16]  R. Hogarth,et al.  Decision Making under Ambiguity , 1986 .

[17]  A. Tversky,et al.  Preference and belief: Ambiguity and competence in choice under uncertainty , 1991 .

[18]  C. H. Coombs,et al.  Mathematical psychology : an elementary introduction , 1970 .

[19]  P. Slovic Choice Between Equally Valued Alternatives. , 1975 .

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

[21]  B. Fischhoff,et al.  Behavioral Decision Theory , 1977 .