Contemporary Issues in Estimating Yield Distributions

Aude Liliana Pujula, David Isaias Maradiaga and Michael R. Dicks

No 56527, 2010 Annual Meeting, February 6-9, 2010, Orlando, Florida from Southern Agricultural Economics Association

Abstract: In the research area of crop yield density estimation and in particular in risk analysis, little emphasis has been given to the appropriateness of transformation methods (e.g., removing a linear trend) and how such transformations impact the reliability of the empirical distribution functions and the resulting probability estimates. Similarly, there is little consensus on the impact of environmental variables (e.g., rainfall and temperature) on empirical distributions of yields. Using historical county corn yield data for Arkansas and Louisiana and nonparametric methods, this empirical analysis shed light on the importance of data transformation in crop risk analysis. Results demonstrate that inappropriate data treatment can lead to misestimation of probability density estimates.

Keywords: Production Economics; Research Methods/Statistical Methods; Risk and Uncertainty (search for similar items in EconPapers)
Pages: 29
Date: 2010
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:ags:saea10:56527

DOI: 10.22004/ag.econ.56527

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