IDEAS home Printed from https://ideas.repec.org/a/oup/ajagec/v95y2013i5p1155-1177.html
   My bibliography  Save this article

Crop Insurance Adjusted Panel Data Envelopment Analysis Efficiency Measures

Author

Listed:
  • Saleem Shaik

Abstract

The Swamy-Arora panel data envelopment analysis model is used to estimate crop insurance adjusted efficiency based on an alternative two-way random effect panel estimator. An empirical application using data from 48 U.S. states from 1960 to 2004 indicate the crop insurance adjusted panel model underestimates (overestimates) efficiency in 35 (13) states relative to the pool model. A comparison of efficiency over three time periods--1960 to 1979, 1980 to 1995, and 1996 to 2004--suggests differential trends. The crop insurance adjusted panel model underestimates (overestimates) efficiency in 32 (16) states relative to the model without crop insurance. Copyright 2013, Oxford University Press.

Suggested Citation

  • Saleem Shaik, 2013. "Crop Insurance Adjusted Panel Data Envelopment Analysis Efficiency Measures," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(5), pages 1155-1177.
    • Handle: RePEc:oup:ajagec:v:95:y:2013:i:5:p:1155-1177
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/ajae/aat062
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Oleg Badunenko & Daniel J. Henderson, 2024. "Production analysis with asymmetric noise," Journal of Productivity Analysis, Springer, vol. 61(1), pages 1-18, February.
    2. Sakouvogui Kekoura & Shaik Saleem & Addey Kwame Asiam, 2020. "Cluster-Adjusted DEA Efficiency in the presence of Heterogeneity: An Application to Banking Sector," Open Economics, De Gruyter, vol. 3(1), pages 50-69, January.
    3. Frikkie Maré & Bennie Grové & Johan Willemse, 2017. "Evaluating the long-term effectiveness of crop insurance products to provide cost effective and constant cover for maize producers under stochastic yields and prices," Agrekon, Taylor & Francis Journals, vol. 56(3), pages 233-247, July.
    4. Mare, Frikkie & Grove, Bennie & Willemse, Barend, 2015. "Avaluating Alternative Risk Transfer as a Crop Insurance Policy under Stochastic Yields and Prices," 2015 Conference, August 9-14, 2015, Milan, Italy 212227, International Association of Agricultural Economists.

    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:oup:ajagec:v:95:y:2013:i:5:p:1155-1177. 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: Oxford University Press (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.