Utility function estimation: the entropy approach
AbstractThe maximum entropy principle can be used to assign utility values when only partial information is available about the decision maker's preferences. In order to obtain such utility values it is necessary to establish an analogy between probability and utility through the notion of a utility density function. According to some authors [Soofi (1990), Abbas (2006a) (2006b), Sandow et al. (2006), Friedman and Sandow (2006), Darooneh (2006)] the maximum entropy utility solution embeds a large family of utility functions. In this paper we explore the maximum entropy principle to estimate the utility function of a risk averse decision maker.
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Bibliographic InfoPaper provided by arXiv.org in its series Papers with number 0709.0591.
Date of creation: Sep 2007
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Web page: http://arxiv.org/
Other versions of this item:
- Dionisio, Andreia & Reis, A. Heitor & Coelho, Luis, 2008. "Utility function estimation: The entropy approach," Physica A: Statistical Mechanics and its Applications, Elsevier, Elsevier, vol. 387(15), pages 3862-3867.
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- Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers, Iowa State University, Department of Economics 1488, Iowa State University, Department of Economics.
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