EconPapers    
Economics at your fingertips  
 

A Small-Sample Comparison of Estimators in the EU-MGF Approach to Decision Making

Edward E. Gbur and Robert A. Collins

American Journal of Agricultural Economics, 1989, vol. 71, issue 1, 202-210

Abstract: Estimation of the moment-generating function lies at the core of the exponential utility—moment-generating function approach to decision making. The small sample performances of the nonparametric empirical moment-generating function and a parametric competitor have been examined under a variety of situations defined by the sample size, the level of risk aversion, and the degree to which the assumed parametric model approximates reality. Conditions under which each estimator would be preferred are obtained. Neither approach can be recommended unequivocally in all situations.

Date: 1989
References: Add references at CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://hdl.handle.net/10.2307/1241789 (application/pdf)
Access to full text is restricted to subscribers.

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:oup:ajagec:v:71:y:1989:i:1:p:202-210.

Access Statistics for this article

American Journal of Agricultural Economics is currently edited by Madhu Khanna, Brian E. Roe, James Vercammen and JunJie Wu

More articles in American Journal of Agricultural Economics from Agricultural and Applied Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by Oxford University Press ().

 
Page updated 2025-03-19
Handle: RePEc:oup:ajagec:v:71:y:1989:i:1:p:202-210.