IDEAS home Printed from https://ideas.repec.org/p/ags/rrsr91/271548.html
   My bibliography  Save this paper

Modeling Nonnorhality In Multivariate Distributions Using An Inverse Hyperbolic Sine Transformation To Normality

Author

Listed:
  • Moss, Charles B.
  • Ramirez, Octavio
  • Boggess, William G.

Abstract

During the past twenty years there has been a growing recognition of the consequences of the randomness of crop yields and prices for farm management and agricultural policy decisions. Concomitantly, the literature has recognized the possibility of nonnormality of yields and prices. This study demonstrates one approach to modeling nonnormality in crop yields over time. Specifically, this study estimates an inverse hyperbolic sine transformation of crop yields in the southeastern United States.

Suggested Citation

  • Moss, Charles B. & Ramirez, Octavio & Boggess, William G., 1991. "Modeling Nonnorhality In Multivariate Distributions Using An Inverse Hyperbolic Sine Transformation To Normality," 1991 Quantifying Long Run Agricultural Risks and Evaluating Farmer Responses to Risk Meeting, March 17-20, 1991, San Antonio, Texas 271548, Regional Research Projects > S-232: Quantifying Long Run Agricultural Risks and Evaluating Farmer Responses to Risk.
    • Handle: RePEc:ags:rrsr91:271548
    DOI: 10.22004/ag.econ.271548
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/271548/files/SrnRegPrj-019.pdf
    Download Restriction: no
    File URL: https://ageconsearch.umn.edu/record/271548/files/SrnRegPrj-019.pdf?subformat=pdfa
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.271548?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:ags:rrsr91:271548. 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: AgEcon Search (email available below). General contact details of provider: .

    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.