Determining Optimal Levels of Nitrogen Fertilizer Using Random Parameter Models

Emmanuel Tumusiime, B Brorsen, Jon T. Biermacher, Jagadeesh Mosali, Jim Johnson and James Locke

No 56514, 2010 Annual Meeting, February 6-9, 2010, Orlando, Florida from Southern Agricultural Economics Association

Abstract: The parameters of yield response functions can vary by year. Past studies usually assume yield functions are nonstochastic or ‘limited’ stochastic. In this study, we estimate rye-ryegrass yield functions where all parameters are random. Optimal nitrogen rates are calculated for two yield response functions: linear response plateau and quadratic. Nonstochastic models are rejected in favor of stochastic parameter models. However, the economic benefits of using fully stochastic models are small since optimal nitrogen rates do not differ greatly between stochastic and nonstochastic models.

Keywords: Agricultural and Food Policy; Crop Production/Industries; Farm Management; Production Economics (search for similar items in EconPapers)
Pages: 21
Date: 2010
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Related works:
Journal Article: Determining Optimal Levels of Nitrogen Fertilizer Using Random Parameter Models (2011)
Journal Article: Determining Optimal Levels of Nitrogen Fertilizer Using Random Parameter Models (2011)
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Persistent link: https://EconPapers.repec.org/RePEc:ags:saea10:56514

DOI: 10.22004/ag.econ.56514

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