[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/ags/aaea12/124630.html
   My bibliography  Save this paper

Nonparametric Estimation of Crop Yield Distributions: A Panel Data Approach

Author

Listed:
  • Wu, Ximing
  • Zhang, Yu Yvette
Abstract
We propose a flexible nonparametric density estimator for panel data. One possible areas of application is estimation of crop yield distributions whose data tend to be short panels from many geographical units. Taking into account the panel structure of the data can likely improve the efficiency of the estimation when the crop distributions share some common futures over time and cross-sectionally. We apply this method to estimate annual average crop yields of 99 Iowa counties. The results demonstrate the usefulness of the proposed method to estimate simultaneously densities from a large number of cross-sectional units.

Suggested Citation

  • Wu, Ximing & Zhang, Yu Yvette, 2012. "Nonparametric Estimation of Crop Yield Distributions: A Panel Data Approach," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124630, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea12:124630
    DOI: 10.22004/ag.econ.124630
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/124630/files/abstract_wu.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.124630?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
    ---><---

    Citations

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


    Cited by:

    1. Ker, Alan. P & Tolhurst, Tor & Liu, Yong, 2015. "Rating Area-yield Crop Insurance Contracts Using Bayesian Model Averaging and Mixture Models," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205211, Agricultural and Applied Economics Association.

    More about this item

    Keywords

    Crop Production/Industries; Productivity Analysis; Research Methods/ Statistical Methods;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ags:aaea12:124630. 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: https://edirc.repec.org/data/aaeaaea.html .

    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.