LAND ALLOCATION IN THE PRESENCE OF ESTIMATION RISK
Sergio Lence and
Dermot Hayes
Journal of Agricultural and Resource Economics, 1995, vol. 20, issue 01, 15
Abstract:
Estimation risk occurs when parameters relevant for decision making are uncertain. Bayes' criterion is consistent with expected-utility maximization in the presence of estimation risk. This article examines optimal (Bayes') land allocations and land allocations obtained using the traditional plug-in approach and two alternative decision rules. Bayes' allocations are much better economically than the other allocations when there are few sample observations relative to activities. Calculation of certainty equivalent returns (CERs) with estimation risk is also discussed and illustrated. CERs are typically (and incorrectly) calculated with the plug-in approach. Plug-in CERs may be extremely misleading.
Keywords: Land; Economics/Use (search for similar items in EconPapers)
Date: 1995
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
https://ageconsearch.umn.edu/record/30929/files/20010049.pdf (application/pdf)
Related works:
Working Paper: Land Allocation in the Presence of Estimation Risk (1995)
Working Paper: Land Allocation in the Presence of Estimation Risk (1995) 
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:jlaare:30929
DOI: 10.22004/ag.econ.30929
Access Statistics for this article
More articles in Journal of Agricultural and Resource Economics from Western Agricultural Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search (aesearch@umn.edu).