Probabilistic Models of Yield, Price, and Revenue Risks for Fed Cattle Production
Eric J. Belasco,
Mykel Taylor,
Barry Goodwin () and
Ted Schroeder
Journal of Agricultural and Applied Economics, 2009, vol. 41, issue 1, 91-105
Abstract:
Cattle feeding enterprises operate amid variability originating in prices and production. This research explicitly models yield risks related to cattle feeding by relating the mean and variance of yield performance factors to observable conditioning variables. The results demonstrate that pen characteristics, such as entry weight, gender, placement season, and location influence the mean and variability of yield factors, defined as dry matter feed conversion, average daily gain, mortality, and animal health costs. Ex ante profit distributions, conditional on cattle placement characteristics, are derived through simulation methods to evaluate the effects of price or yield shocks on the distributional characteristics of expected profits.
Date: 2009
References: Add references at CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
https://www.cambridge.org/core/product/identifier/ ... type/journal_article link to article abstract page (text/html)
Related works:
Journal Article: Probabilistic Models of Yield, Price, and Revenue Risks for Fed Cattle Production (2009) 
Working Paper: Probabilistic Models of Yield, Price, and Revenue Risks for Fed Cattle Production (2006) 
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:cup:jagaec:v:41:y:2009:i:01:p:91-105_00
Access Statistics for this article
More articles in Journal of Agricultural and Applied Economics from Cambridge University Press Cambridge University Press, UPH, Shaftesbury Road, Cambridge CB2 8BS UK.
Bibliographic data for series maintained by Kirk Stebbing ().