IDEAS home Printed from https://ideas.repec.org/p/wpa/wuwpem/0511003.html
   My bibliography  Save this paper

Production Functions Estimates for Soviet Industry and Some Implications

Author

Listed:
  • Oldrich Kyn

    (Boston University)

  • Hans-Juergen Wagener

    (Europa Universitat Viadrina, Frankfurt Oder)

  • Joerg Hocke

    (----)

Abstract

This study presents estimation of production functions for the Soviet industry from the 1951—1970 data. Different specifications and estimation procedures were tried. The results diverged on a wide range and this may have serious implications. The paper shows possible effects of different parameter estimates on the growth potential of the Soviet industry as represented by a steady state growth rate according to a very simple neo-classical model. This does not necessarily imply that such a model is truly representative of the Soviet-type economy, however, the growth potential can very well serve to demonstrate the difficulties stemming from the errors in estimated parameters.

Suggested Citation

  • Oldrich Kyn & Hans-Juergen Wagener & Joerg Hocke, 2005. "Production Functions Estimates for Soviet Industry and Some Implications," Econometrics 0511003, EconWPA.
  • Handle: RePEc:wpa:wuwpem:0511003
    Note: Type of Document - doc
    as

    Download full text from publisher

    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/em/papers/0511/0511003.doc
    Download Restriction: no

    More about this item

    Keywords

    Production Function; Cobb-Douglas; CES; Growth Model;

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:wpa:wuwpem:0511003. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (EconWPA). General contact details of provider: http://econwpa.repec.org .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.