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Volume 42, Number 02, May 2010 >
Please use this identifier to cite or link to this item:
http://purl.umn.edu/90675
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| Title: | A Flexible Parametric Family for the Modeling and Simulation of Yield Distributions |
| Authors: | Ramirez, Octavio A.
McDonald, Tanya U.
Carpio, Carlos E. |
| Keywords: | risk analysis
parametric methods
yield distributions
yield modeling and simulation
yield nonnormality |
| JEL Codes: | C15
C16
C46
C63 |
| Issue Date: | 2010-05-01 |
| Abstract: | The distributions currently used to model and simulate crop yields are unable to accommodate a substantial subset of the theoretically feasible mean-variance-skewness-kurtosis (MVSK) hyperspace. Because these first four central moments are key determinants of shape, the available distributions might not be capable of adequately modeling all yield distributions
that could be encountered in practice. This study introduces a system of distributions that can span the entire MVSK space and assesses its potential to serve as a more comprehensive parametric crop yield model, improving the breadth of distributional choices available to researchers and the likelihood of formulating proper parametric models. |
| URI: | http://purl.umn.edu/90675 |
| Institution/Association: | Journal of Agricultural and Applied Economics>Volume 42, Number 02, May 2010 |
| From Page: | 303 |
| To Page: | 319 |
| Collections: | Volume 42, Number 02, May 2010
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| jaae275.pdf | Ramirez | 805Kb | PDF | View/Open |
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