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Specification Of Bernoullian Utility Function In Decision Analysis

Author

Listed:
  • Lin, William W.
  • Chang, Hui S.

Abstract

The authors propose two general functional forms, and apply them to the specification of utility functions for predicting farmers' production response. The polynomial utility functions were rejected, based on the result~ of a likelihood-ratio test. The appropriate degree of nonlinearity of the utility function can best be determined by using the general functional forms without a priori specification. Further, farmers' utility functions may exhibit a decreasing absolute risk aversion. The tendency for the Bernoullian utility maximization hypothesis to predict more risky behavior than that actually observed may have been partly due to incorrect specification of the utility function.

Suggested Citation

  • Lin, William W. & Chang, Hui S., 1978. "Specification Of Bernoullian Utility Function In Decision Analysis," Journal of Agricultural Economics Research, United States Department of Agriculture, Economic Research Service, vol. 30(1), pages 1-7, January.
    • Handle: RePEc:ags:uersja:148094
    DOI: 10.22004/ag.econ.148094
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    Citations

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    Cited by:

    1. J. Brian Hardaker & James W. Richardson & Gudbrand Lien & Keith D. Schumann, 2004. "Stochastic efficiency analysis with risk aversion bounds: a simplified approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(2), pages 253-270, June.
    2. Hardaker, J. Brian & Lien, Gudbrand D., 2003. "Stochastic Efficiency Analysis With Risk Aversion Bounds: A Simplified Approach," Working Papers 12954, University of New England, School of Economics.
    3. Ziehm, William Walter, 1986. "An evaluation of alternative hedging strategies for Iowa cattle feeders: before, at, and after placement, 1974-1984," ISU General Staff Papers 1986010108000018118, Iowa State University, Department of Economics.
    4. King, Robert P. & Robison, Lindon J., 1980. "Implementing Stochastic Dominance With Respect To A Function," Risk Analysis in Agriculture: Research and Educational Developments, January 16-18, 1980, Tucson, Arizona 271563, Regional Research Projects > W-149: An Economic Evaluation of Managing Market Risks in Agriculture.
    5. Duncan, Steven Scott, 1988. "The relevant forecast of variance of income for marketing decisions under uncertainty," ISU General Staff Papers 198801010800009839, Iowa State University, Department of Economics.
    6. Robison, Lindon J. & Abkin, Michael H., 1981. "Theoretical and Practical Models for Investment and Disinvestment Decision Making Under Uncertainty in the Energy Supply Industry," Agricultural Economic Report Series 201288, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    7. Lien, G. & Stordal, S. & Hardaker, J.B. & Asheim, L.J., 2007. "Risk aversion and optimal forest replanting: A stochastic efficiency study," European Journal of Operational Research, Elsevier, vol. 181(3), pages 1584-1592, September.
    8. King, Robert P., 1979. "Operational Techniques for Applied Decision Analysis Under Uncertainty," AAEA Fellows - Dissertations and Theses, Agricultural and Applied Economics Association, number 181951, December.
    9. Musser, Wesley N. & Wetzstein, Michael E. & Reece, Susan Y. & Musser, Lynn M. & Varca, Philip E. & Chou, Charlene C.J., 1984. "Classification Of Risk Preferences With Elicited Utility Data: Does Functional Form Matter?," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 9(2), pages 1-7, December.

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