Estimation Risk when Theory Meets Reality

Sergio Lence and Dermot Hayes

Center for Agricultural and Rural Development (CARD) Publications from Center for Agricultural and Rural Development (CARD) at Iowa State University

Abstract: Estimation risk occurs in the almost universal situation where parameters of importance for decision making are not known with certainty. Bayes' criterion is the procedure consistent with expected utility maximization in the presence of estimation risk. Three interrelated problems in the presence of estimation risk are analyzed: (i) the choice of the utility-maximizing decision rule in a mean-variance framework, (ii) the calculation of certainty equivalent returns, and (iii) the valuation of additional sample information.

Keywords: Bayes' decision criterion; estimation risk; expected utility; risk; uncertainty. (search for similar items in EconPapers)
Date: 1993-06
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Persistent link: https://EconPapers.repec.org/RePEc:ias:cpaper:93-wp107

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