IDEAS home Printed from https://ideas.repec.org/a/cup/agrerw/v43y2014i03p451-470_00.html

Direct Payments, Cash Rents, Land Values, and the Effects of Imputation in U.S. Farm-level Data

Author

Listed:
  • Robbins, Michael W.
  • White, T. Kirk

Abstract

Research using the Agricultural Resource Management Survey (ARMS) and other data shows that direct government payments to farmers increase rents and the price of land. However, some ARMS data is imputed and does not account for relationships between payments and other variables. We investigate various imputation methods and benefits gained from a method with a wide scope rather than a parsimonious range of variables. Using our method, we estimate that an additional dollar of direct payment increases land value about $2.69 more per acre than ARMS imputation methods and that our imputations (using an exhaustive iterative sequential regression) outperform other methods and/or smaller models.

Suggested Citation

  • Robbins, Michael W. & White, T. Kirk, 2014. "Direct Payments, Cash Rents, Land Values, and the Effects of Imputation in U.S. Farm-level Data," Agricultural and Resource Economics Review, Cambridge University Press, vol. 43(3), pages 451-470, December.
    • Handle: RePEc:cup:agrerw:v:43:y:2014:i:03:p:451-470_00
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1068280500005542/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. Pavel Ciaian & Edoardo Baldoni & d'Artis Kancs & DuĊĦan Drabik, 2021. "The Capitalization of Agricultural Subsidies into Land Prices," Annual Review of Resource Economics, Annual Reviews, vol. 13(1), pages 17-38, October.
    2. Burns, Christopher & Prager, Daniel & Ghosh, Sujit & Goodwin, Barry, 2015. "Imputing for Missing Data in the ARMS Household Section: A Multivariate Imputation Approach," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205291, Agricultural and Applied Economics Association.

    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:agrerw:v:43:y:2014:i:03:p:451-470_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/age .

    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.