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Robustifying the Classical Model of Risk Preferences and Beliefs

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  • Machina, Mark J

Abstract

Robustify. To identify the analytical aspects of a model that continue to hold under more genral conditions. This usually requires expressing the model and its results in a particular manner as statements that may be logically equivalent under the assumptions of a given model can differ widely in their robustness to dropping these assumptions. E.g., "By expressing the classical expected utility/subjective probability model in event-theoretic therms, tis asic concepts, tools and results can be locally and globally robustified to general 'event-smooth' preferences over subjectively uncertain acts that do not necessarily exhibit either expected utility risk preferences or probabilistic beliefs."

Suggested Citation

  • Machina, Mark J, 2002. "Robustifying the Classical Model of Risk Preferences and Beliefs," University of California at San Diego, Economics Working Paper Series qt1xt4c2qb, Department of Economics, UC San Diego.
    • Handle: RePEc:cdl:ucsdec:qt1xt4c2qb
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    1. Newell, Richard G. & Sanchirico, James N. & Kerr, Suzi, 2005. "Fishing quota markets," Journal of Environmental Economics and Management, Elsevier, vol. 49(3), pages 437-462, May.
    2. Berck, Peter & Perloff, Jeffrey M, 1984. "An Open-Access Fishery with Rational Expectations," Econometrica, Econometric Society, vol. 52(2), pages 489-506, March.
    3. James Kirkley & Catherine Morrison Paul & Dale Squires, 2002. "Capacity and Capacity Utilization in Common-pool Resource Industries," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 22(1), pages 71-97, June.
    4. Sethi, Gautam & Costello, Christopher & Fisher, Anthony & Hanemann, Michael & Karp, Larry, 2005. "Fishery management under multiple uncertainty," Journal of Environmental Economics and Management, Elsevier, vol. 50(2), pages 300-318, September.
    5. Christopher Costello & Stephen Polasky & Andrew Solow, 2001. "Renewable resource management with environmental prediction," Canadian Journal of Economics, Canadian Economics Association, vol. 34(1), pages 196-211, February.
    6. Doyle, Matthew & Singh, Rajesh & Weninger, Quinn, 2006. "Fisheries Management with Stock Uncertainty and Costly Capital Adjustment," Staff General Research Papers Archive 12770, Iowa State University, Department of Economics.
    7. Reed, William J., 1979. "Optimal escapement levels in stochastic and deterministic harvesting models," Journal of Environmental Economics and Management, Elsevier, vol. 6(4), pages 350-363, December.
    8. Richard M. Adams & Stephen Polasky, 1998. "The Value of El Niño Forecasts in the Management of Salmon: A Stochastic Dynamic Assessment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(4), pages 765-777.
    9. Robert S. Pindyck, 1984. "Uncertainty in the Theory of Renewable Resource Markets," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 51(2), pages 289-303.
    10. Walker, James M. & Gardner, Roy & Ostrom, Elinor, 1990. "Rent dissipation in a limited-access common-pool resource: Experimental evidence," Journal of Environmental Economics and Management, Elsevier, vol. 19(3), pages 203-211, November.
    11. Anthony Scott, 1955. "The Fishery: The Objectives of Sole Ownership," Journal of Political Economy, University of Chicago Press, vol. 63, pages 116-116.
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    Cited by:

    1. Siniscalchi, Marciano, 2006. "A behavioral characterization of plausible priors," Journal of Economic Theory, Elsevier, vol. 128(1), pages 91-135, May.
    2. Mark Machina, 2004. "Almost-objective uncertainty," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 24(1), pages 1-54, July.

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