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Rational Roots of “Irrational” Behavior: New Theories of Economic Decision-Making

Published online by Cambridge University Press:  10 May 2017

James J. Opaluch  and
Kathleen Segerson
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Abstract

The neoclassical paradigm has proven to be a rich approach for evaluating a variety of issues for individual and social decision-making. However, an increasing body of literature suggests that actual behavior systematically violates the neoclassical utility model. This paper reviews a number of alternative models for decision-making. Results from the literature show several examples of apparently “irrational” behavior that can be explained in terms of these alternative motivations. The paper also extends the received literature by examining in some detail the implications of one such model which is based on the psychological feeling of ambivalence. The paper demonstrates that ambivalence has the potential for explaining the appearance of intransitive choices, the use of rules of thumb in decision-making and the large discrepancies between stated willingness-to-pay and willingness-to-accept, all of which have been observed in various settings. There are potentially great rewards from innovative research that expands the neoclassical paradigm to incorporate additional motivational factors in decision-making.

Type
Invited Presentation
Information
Northeastern Journal of Agricultural and Resource Economics , Volume 18 , Issue 2 , October 1989 , pp. 81 - 95
Copyright
Copyright © 1989 Northeastern Agricultural and Resource Economics Association 

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Footnotes

The authors wish to acknowledge the support of the Rhode Island Agricultural Experiment Station (AES Contribution No. 2501), Rhode Island Water Resources Center and the Northeast Agricultural and Resource Economics Association.

References

Akerlof, George A. and Dickens, William T. “The Economic Consequences of Cognitive Dissonance.” American Economic Review 72 (1982):307–319.Google Scholar
Bell, David E. “Regret in Decision Making Under Uncertainty.” Operations Research 30 (1982):961–981.Google Scholar
Bell, David E. “Disappointment in Decision Making Under Uncertainty.” Operations Research 33 (1985):1–27.Google Scholar
Edwards, Ward. “The Theory of Decision Making.” Psychological Bulletin 51 (1954):380–417.Google Scholar
Edwards, Ward. “Conservatism in Human Information Processing.” Formal Representation of Human Judgment, ed. Kleinmuntz, Benjamin. New York: Wiley, 1968.Google Scholar
Gregory, Robin. “Interpreting Measure of Economic Loss: Evidence from Contingent Valuation and Experimental Studies.” Journal of Environmental Economics and Management 13 (1986):325–337.Google Scholar
Hanemann, W. Michael, 1984. “Welfare Evaluations in Contingent Valuation Experiments with Discrete Responses” American Journal of Agricultural Economics 66 (1984):332–341.Google Scholar
Hausman, Jerry. “Exact Consumer's Surplus and Deadweight Loss” American Economic Review 71 (1981):662–676.Google Scholar
Kahneman, Daniel and Tversky, Amos. “Prospect Theory: An Analysis of Decision Under Risk.” Econometrica 47 (1979):263–291.Google Scholar
Knetsch, Jack L. and Sinden, J. A. “Willingness to Pay and Compensation Demanded: Experimental Evidence of an Unexpected Disparity in Measures of Value.” Quarterly Journal of Economics 99 (1984):507–521.Google Scholar
Lichtenstein, Sarah, et al. “Judged Frequency of Lethal Events.” Journal of Experimental Psychology 4 (1978):551–578.Google Scholar
Loomes, Graham and Sugden, Robert. “Regret Theory: An Alternative Theory of Rational Choice Under Uncertainty.” Economic Journal 92 (1982):805–24.Google Scholar
Machina, Mark J. “Choice Under Uncertainty: Problems Solved and Unsolved.” Journal of Economic Perspectives 1 (1987):121–154.Google Scholar
Markowitz, Harry. “The Utility of Wealth.” Journal of Political Economy 60 (1952):151–158.Google Scholar
May, Kenneth O. “Intransitivity, Utility, and the Aggregation of Preference Patterns.” Econometrica 22 (1954):1–13.Google Scholar
Opaluch, James J. “Valuing Natural Resource and Environmental Amenities: Can Economic Valuation Techniques Be Made Defensible: Discussion.” Northeast Journal of Agricultural and Resource Economics (1984):138–141.Google Scholar
Opaluch, James J. and Segerson, Kathleen. “Hicksian Welfare Measures within a Regret Theory Framework.” American Journal of Agricultural Economics 70 (1988):1100–1106.Google Scholar
Ramsey, Frank P. The Foundations of Mathematics. New York: Harcourt Brace, 1931.Google Scholar
Savage, Leonard J. The Foundations of Statistics. New York: Wiley, 1954.Google Scholar
Schoemaker, Paul J.H. “The Expected Utility Model: Its Variants, Purposes, Evidence and Limitations.” Journal of Economic Literature 20 (1982):529–563.Google Scholar
Simon, Herbert A. “A Behavioral Model of Rational Choice.” Quarterly Journal of Economics 69 (1955):174–83.Google Scholar
Slovic, Paul. “Manipulating the Attractiveness of a Gamble Without Changing its Expected Value.” Journal of Experimental Psychology 79 (1969):139–145.Google Scholar
Tversky, Amos. “Intransitivity of Preferences.” Psychological Review 76 (1969):31–48.Google Scholar
Tversky, Amos and Kahneman, Daniel. “Availability: A Heuristic for Judging Frequency and Probability.” Cognitive Psychology 5 (1973):207–32.Google Scholar
Tversky, Amos and Kahneman, Daniel. “The Framing of Decisions and the Psychology of Choice.” Science 211 (1981):453–48.Google Scholar
Weaver, R. D. and Stefanou, S. E. “Toward a Behavioral Approach to Modelling Dynamic Production Choice Structures.” Northeast Journal of Agricultural and Resource Economics (1984):163–176.Google Scholar