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Robustifying the Classical Model of Risk Preferences and Beliefs


  • Machina, Mark J


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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    References listed on IDEAS

    1. 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.
    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. 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.
    4. Richard M. Adams & Stephen Polasky, 1998. "The Value of El NiƱo 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.
    5. Robert S. Pindyck, 1984. "Uncertainty in the Theory of Renewable Resource Markets," Review of Economic Studies, Oxford University Press, vol. 51(2), pages 289-303.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    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. Machina, Mark J, 2001. "Almost-Objective Uncertainty," University of California at San Diego, Economics Working Paper Series qt3ps1k85f, Department of Economics, UC San Diego.

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