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Assessing the Accuracy of Decisions

Bibliographic Data

ID20400459
AuthorsDeborah Frisch (University of Oregon, Eugene), Steven K Jones (University of Oregon, Eugene)
Year1993
Volume3
Issue1
Pages115-135
Publication date1993-02-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueTheory & Psychology (JOURNAL)
Journal identifiersISSN: 0959-3543 • E-ISSN: 1461-7447
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/0959354393031005
OpenAlexW2047898609
LanguageEN
Citations received4
References cited38

Much research demonstrates that people's choices do not conform to utility theory, a model of rational decision-making (Baron, 1988; Kahneman & Tversky, 1979; Slovic, Lichtenstein, & Fischhoff, 1988). Researchers have begun to question the normative status of utility theory in light of the many empirical violations of the theory. We argue that consistency with a formal model is not an appropriate standard for evaluating the quality of decisions. Rather, we propose that accuracy is a more useful standard. We define an accurate decision as one in which there is a one-to-one correspondence between the factors that affect a decision and those that affect experience. Based on our definition, we address the question of whether violations of normative models such as expected value theory and expected utility theory reflect inaccurate decisions. We argue that some violations of normative models do lead to inaccurate decisions. However, many violations may arise because the normative models prohibit factors from affecting decisions that do in fact affect the experience of the outcomes of decisions

Business decision mapping · Causal decision theory · Decision analysis · Decision theory · Economics · Empirical research · Epistemology · Evidential reasoning approach · Expected utility hypothesis · Mathematical economics · Microeconomics · Normative · Normative model of decision-making · Prospect theory · Subjective expected utility · Computer Science · Decision-Making and Behavioral Economics · Economic and Environmental Valuation · Experimental Behavioral Economics Studies · Psychology · Artificial Intelligence

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Unique citing works4
Citations per year0,13
Citation span1994 - 2011 (18)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 2

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