IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-20502-1_4.html
   My bibliography  Save this book chapter

Production Functions with Panel Data

In: Production and Efficiency Analysis with R

Author

Listed:
  • Andreas Behr

    (University of Duisburg-Essen, Faculty of Business Administration and Economics)

Abstract

In this chapter, we discuss the estimation of production functions using panel data. Panel data sets include data for producing units which have been observed for several periods. Information about differences of production relations between units and of differences between time periods allows to drop some restrictive assumptions on parameter homogeneity which have to be employed in the cases of cross sectional or time series data. We discuss the pooled, the between, the within, and the random effects estimator for static models and hint for some problems when instrumenting in dynamic panel data models. The generation of data according to the different models and their estimation are demonstrated.

Suggested Citation

  • Andreas Behr, 2015. "Production Functions with Panel Data," Springer Books, in: Production and Efficiency Analysis with R, chapter 4, pages 83-111, Springer.
  • Handle: RePEc:spr:sprchp:978-3-319-20502-1_4
    DOI: 10.1007/978-3-319-20502-1_4
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:spr:sprchp:978-3-319-20502-1_4. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.