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OPTIMAL MARKETING DECISIONS FOR FEEDER CATTLE UNDER PRICE AND PRODUCTION RISK AgEcon
Wang, Xuecai; Dorfman, Jeffrey H.; McKissick, John C.; Turner, Steven C..
In many parts of the U.S., beef cattle production is a large sector of the agricultural economy, yet few of the cattle are stockered; instead the production is focused on cow-calf operations only. Restricting their operation to only the first phase of beef production may be limiting the cattle owners' profit potential. This paper examines the opportunities for operators to earn additional profit from stockering cattle. Using a representative risk-averse producer, a decision set with seven possible marketing strategies is elevated for the optimal decision in a Bayesian framework which allows for price and production risk. We find that in many instances retaining the cattle for stockering is a superior decision when done in conjunction with specific...
Tipo: Journal Article Palavras-chave: Cattle; Decision science; Estimation risk; Marketing; Livestock Production/Industries; C6; D2; Q1.
Ano: 2001 URL: http://purl.umn.edu/15442
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Optimal Information Acquisition under a Geostatistical Model AgEcon
Pautsch, Gregory R.; Babcock, Bruce A.; Breidt, F. Jay.
Studies examining the value of switching to a variable rate technologies (VRT) fertilizer program assume producers possess perfect soil nitrate information. In reality, producers estimate soil nitrate levels with soil sampling. The value of switching to a VRT program depends on the quality of the estimates and on how the estimates are used. Larger sample sizes, increased spatial correlation, and decreased variability improve the estimates and increase returns. Fertilizing strictly to the estimated field map fails to account for estimation risk. Returns increase if the soil sample information is used in a Bayesian fashion to update the soil nitrate beliefs in non-sampled sites.
Tipo: Conference Paper or Presentation Palavras-chave: Estimation risk; Geostatistics; Nitrogen fertilizer; Optimal sample sizes; Precision farming; Single rate technology; Variable rate technology; Variogram; Research Methods/ Statistical Methods.
Ano: 1999 URL: http://purl.umn.edu/18358
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