Production Under Uncertainty: A Simulation Study

dc.creatorShankar, Sriram
dc.creatorO'Donnell, Christopher
dc.creatorQuiggin, John
dc.date2017-04-01T17:31:19Z
dc.date.accessioned2026-07-09T07:12:14Z
dc.descriptionIn this article we model production technology in a state-contingent framework. Our model analyzes production under uncertainty without regard to the nature of producer risk preferences. In our model producers? risk preferences are captured by the risk-neutral probabilities they assign to the different states of nature. Using a state-general state-contingent specification of technology we show that rational producers who encounter the same stochastic technology can make significantly different production choices. Further, we develop an econometric methodology to estimate the risk-neutral probabilities and the parameters of stochastic technology when there are two states of nature and only one of which is observed. Finally, we simulate data based on our state-general state-contingent specification of technology. Biased estimates of the technology parameters are obtained when we apply conventional ordinary least squares (OLS) estimator on the simulated data.
dc.identifierdoi:10.22004/ag.econ.151193
dc.identifierhttps://ageconsearch.umn.edu/record/151193/files/WPR10_03.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/151193
dc.identifier.urihttp://hdl.handle.net/123456789/585685
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/151193
dc.titleProduction Under Uncertainty: A Simulation Study
dc.typeText

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