IDEAS home Printed from https://ideas.repec.org/a/cup/jagaec/v42y2010i02p303-319_00.html
   My bibliography  Save this article

A Flexible Parametric Family for the Modeling and Simulation of Yield Distributions

Author

Listed:
  • Ramirez, Octavio A.
  • McDonald, Tanya U.
  • Carpio, Carlos E.

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.

Suggested Citation

  • Ramirez, Octavio A. & McDonald, Tanya U. & Carpio, Carlos E., 2010. "A Flexible Parametric Family for the Modeling and Simulation of Yield Distributions," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 42(2), pages 303-319, May.
    • Handle: RePEc:cup:jagaec:v:42:y:2010:i:02:p:303-319_00
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1074070800003473/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gregory Colson & Octavio A. Ramirez & Shengfei Fu, 2014. "Crop Insurance Savings Accounts: A Viable Alternative to Crop Insurance?," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 36(3), pages 527-545.
    2. Ramirez, Octavio A. & Carpio, Carlos E. & Rejesus, Roderick M., 2011. "Can Crop Insurance Premiums Be Reliably Estimated?," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 40(1), pages 1-14, April.
    3. Octavio A. Ramirez & Carlos A. Carpio, 2012. "Premium estimation inaccuracy and the actuarial performance of the US crop insurance program," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 72(1), pages 117-133, May.
    4. Awondo, Sebastain Nde & Datta, Gauri S. & Ramirez, Octavio A. & Fonsah, Esendugue Greg, 2012. "Estimation of crop yield distribution and Insurance Premium using Shrinkage Estimator: A Hierarchical Bayes and Small Area Estimation Approach," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 126778, Agricultural and Applied Economics Association.
    5. Ramirez, Octavio A. & Carpio, Carlos E. & Collart, Alba J., 2014. "Producer Welfare Implications of the RMA’s “Shrinkage” Crop Insurance Premium Estimator," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 168367, Agricultural and Applied Economics Association.
    6. Gregory Colson & Octavio A. Ramirez & Shengfei Fu, 2014. "Crop Insurance Savings Accounts: A Viable Alternative to Crop Insurance?," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 36(3), pages 527-545.
    7. Ramirez, Octavio A., 2014. "Appendix I to: Crop Insurance Savings Accounts: A Viable Alternative to Crop Insurance?," Applied Economic Perspectives and Policy Appendices 162318, Agricultural and Applied Economics Association.
    8. Poudel, Mahadeb Prasad & Chen, Shwu-En & Ghimire, Raju, 2013. "Rice Yield Distribution and Risk Assessment in South Asian Countries: A Statistical Investigation," International Journal of Agricultural Management and Development (IJAMAD), Iranian Association of Agricultural Economics, vol. 3(1), March.

    More about this item

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Econometric and Statistical Methods; Specific Distributions
    • C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cup:jagaec:v:42:y:2010:i:02:p:303-319_00. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/aae .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.