IDEAS home Printed from https://ideas.repec.org/a/cup/jagaec/v58y2026i1p126-141_7.html

A Direct Test of Sample Selection in the Cattle Procurement Market

Author

Listed:
  • Tsetse, Wisdom Makafui
  • Chung, Chanjin
  • Lambert, Dayton M.

Abstract

This study tests for sample selection using data from a feedlot in Oklahoma by analyzing the distribution of cattle quality between alternative marketing arrangements and cash markets. Unlike previous studies employing Heckman and Roy models to detect sample selection, we directly examine the empirical distributions of cattle quality variables derived from heteroskedastic probit, residual, truncated, and generalized least squares regressions. Nonparametric procedures are used to identify differences in the empirical distribution functions of quality variables between the two markets. The results find strong evidence of sample selection in cattle procurement for the analyzed dataset. Initiatives promoting greater disclosure of quality-related information for cattle sold in the cash market are recommended to mitigate this issue.

Suggested Citation

  • Tsetse, Wisdom Makafui & Chung, Chanjin & Lambert, Dayton M., 2026. "A Direct Test of Sample Selection in the Cattle Procurement Market," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 58(1), pages 126-141, February.
  • Handle: RePEc:cup:jagaec:v:58:y:2026:i:1:p:126-141_7
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1074070825100278/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    More about this item

    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:58:y:2026:i:1:p:126-141_7. 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.