Robustifying the Classical Model of Risk Preferences and Beliefs
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."
|Date of creation:||13 Mar 2002|
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- 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.
- Sethi, Gautam & Costello, Christopher & Fisher, Anthony C. & Hanemann, W. Michael & Karp, Larry, 2004. "Fishery Management Under Multiple Uncertainty," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt8122f9d2, Department of Agricultural & Resource Economics, UC Berkeley.
- Sethi, Gautam & Costello, Christopher & Fisher, Anthony C. & Hanemann, W. Michael & Karp, Larry S, 2002. "Fishery management under multiple uncertainty," CUDARE Working Paper Series 929, University of California at Berkeley, Department of Agricultural and Resource Economics and Policy.
- 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.
- Anthony Scott, 1955. "The Fishery: The Objectives of Sole Ownership," Journal of Political Economy, University of Chicago Press, vol. 63, pages 116.
- 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.
- Doyle, Matthew & Singh, Rajesh & Weninger, Quinn, 2006. "Fisheries Management with Stock Uncertainty and Costly Capital Adjustment," Staff General Research Papers 12770, Iowa State University, Department of Economics.
- James Kirkley & Catherine Morrison Paul & Dale Squires, 2002. "Capacity and Capacity Utilization in Common-pool Resource Industries," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 22(1), pages 71-97, June.
- 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.
- Berck, Peter & Perloff, Jeffrey M, 1982.
"An Open-Access Fishery with Rational Expectations,"
Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series
qt876499mq, Department of Agricultural & Resource Economics, UC Berkeley.
- 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.
- Kerr, Suzi & Sanchirico, James & Newell, Richard, 2002.
"Fishing Quota Markets,"
dp-02-20, Resources For the Future.
- 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.
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