Application of mean-Gini stochastic efficiency analysis
Jeffrey D. McDonald,
L. Joe Moffitt and
Cleve E. Willis
Australian Journal of Agricultural and Resource Economics, 1997, vol. 41, issue 01, 18
Abstract:
This article adds to the information base concerning the applicability of mean- Gini stochastic efficiency analysis in agriculture. The mean-Gini efficient set of decisions is characterized rigorously in terms of its corresponding absolute risk aversion. In an empirical analysis, the mean-Gini efficient set of decisions is derived for four studies from the literature and compared to the second degree stochastic dominance efficient set. An alternative quantitative measure of risk aversion is used to gain insight in a visceral sense to the risk preferences associated with mean-Gini efficient decisions.
Keywords: Research; Methods/Statistical; Methods (search for similar items in EconPapers)
Date: 1997
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://ageconsearch.umn.edu/record/118007/files/1467-8489.00003.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:aareaj:118007
DOI: 10.22004/ag.econ.118007
Access Statistics for this article
More articles in Australian Journal of Agricultural and Resource Economics from Australian Agricultural and Resource Economics Society Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().