IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v30y1998i7p919-930.html
   My bibliography  Save this article

Efficiency measurement in rotating panel data

Author

Listed:
  • Almas Heshmati

Abstract

Rotating panel data are used with estimation of stochastic production frontier. The model can be viewed as a generalization of the regular production function estimation that accommodates technical inefficiency as well as firm heterogeneity. In particular, while estimating technical efficiency for each firm over time we control for firmspecific effects and separate them from technical inefficiency. Estimation of the model is considered in two steps. In the first step we estimate parameters of the underlying productionfunction using generalized least squares methodwhich are then used in the estimation of technical efficiency in the second step. As an empirical application we used rotating data on 1425 Swedish dairy farms observed during 1976-1988. The mean technical efficiency of these farms is found to be 94.5% and 16% of the farms are fully efficient. Evidence of technical regress about 1% per annum is observed during 1976 to 1984.

Suggested Citation

  • Almas Heshmati, 1998. "Efficiency measurement in rotating panel data," Applied Economics, Taylor & Francis Journals, vol. 30(7), pages 919-930.
    • Handle: RePEc:taf:applec:v:30:y:1998:i:7:p:919-930
    DOI: 10.1080/000368498325354
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/000368498325354
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/000368498325354?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
    ---><---

    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. Boris Bravo-Ureta & Daniel Solís & Víctor Moreira López & José Maripani & Abdourahmane Thiam & Teodoro Rivas, 2007. "Technical efficiency in farming: a meta-regression analysis," Journal of Productivity Analysis, Springer, vol. 27(1), pages 57-72, February.
    2. G. Karagiannis & P. Midmore & V. Tzouvelekas, 2002. "Separating Technical Change from Time-Varying Technical Inefficiency in the Absence of Distributional Assumptions," Journal of Productivity Analysis, Springer, vol. 18(1), pages 23-38, July.
    3. Karakas, Leyla D. & Kim, Nam Seok & Mitra, Devashish, 2021. "Attitudes towards globalization barriers and implications for voting: Evidence from Sweden," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 851-877.
    4. Mohamed Goaïed & Rym Ayed-Mouelhi, 2000. "Efficiency Measurement With Unbalanced Panel Data: Evidence from Tunisian Textile, Clothing and Leather Industries," Journal of Productivity Analysis, Springer, vol. 13(3), pages 249-262, May.
    5. Christophe Bell'ego & David Benatia & Vincent Dortet-Bernardet, 2023. "The Chained Difference-in-Differences," Papers 2301.01085, arXiv.org, revised May 2024.
    6. Farsi, Mehdi & Filippini, Massimo, 2009. "An analysis of cost efficiency in Swiss multi-utilities," Energy Economics, Elsevier, vol. 31(2), pages 306-315, March.
    7. Mehdi Farsi & Massimo Filippini & Michael Kuenzle, 2005. "Unobserved heterogeneity in stochastic cost frontier models: an application to Swiss nursing homes," Applied Economics, Taylor & Francis Journals, vol. 37(18), pages 2127-2141.

    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:taf:applec:v:30:y:1998:i:7:p:919-930. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.