ESTIMATING EXPONENTIAL UTILITY FUNCTIONS
Steven T. Buccola and
Ben C. French
Journal of Agricultural Economics Research, 1978, vol. 30, issue 01, 7
Abstract:
The exponential utility function for money has long attracted attention from theorists because it exhibits nonincreasing absolute risk aversion. Also, under certain conditions, it generates an expected utility function that is maximizable in a quadratic program. However, this functional form presents estimation problems. Logarithmic transformation of an exponential utility function does not conform to the Von Neumann-Morgenstern axioms. Hence, it cannot be used as a basis for best fit in statistical analysis. A criterion is described that can be used to select a best-fit exponential utility function, and its application in grower utility analysis is demonstrated.
Keywords: Agricultural and Food Policy; Demand and Price Analysis; Research Methods/Statistical Methods (search for similar items in EconPapers)
Date: 1978
References: Add references at CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://ageconsearch.umn.edu/record/148095/files/6Buccola_30_1.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ags:uersja:148095
DOI: 10.22004/ag.econ.148095
Access Statistics for this article
More articles in Journal of Agricultural Economics Research from United States Department of Agriculture, Economic Research Service Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().