Probabilistic Models of Yield, Price, and Revenue Risks for Fed Cattle Production

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.


Issue Date:
2009-04
Publication Type:
Journal Article
PURL Identifier:
http://purl.umn.edu/48761
Published in:
Journal of Agricultural and Applied Economics, Volume 41, Number 1
Page range:
91-105
Total Pages:
15
JEL Codes:
D24; D81; Q12




 Record created 2017-04-01, last modified 2017-04-28

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