IDEAS home Printed from https://ideas.repec.org/a/tpr/restat/v55y1973i1p104-09.html
   My bibliography  Save this article

On the Computation of Full-Information Maximum Likelihood Estimates for Nonlinear Equation Systems

Author

Listed:
  • Chow, Gregory C

Abstract

No abstract is available for this item.

Suggested Citation

  • Chow, Gregory C, 1973. "On the Computation of Full-Information Maximum Likelihood Estimates for Nonlinear Equation Systems," The Review of Economics and Statistics, MIT Press, vol. 55(1), pages 104-109, February.
    • Handle: RePEc:tpr:restat:v:55:y:1973:i:1:p:104-09
    as

    Download full text from publisher

    File URL: http://links.jstor.org/sici?sici=0034-6535%28197302%2955%3A1%3C104%3AOTCOFM%3E2.0.CO%3B2-W&origin=repec
    File Function: full text
    Download Restriction: Access to full text is restricted to JSTOR subscribers. See http://www.jstor.org for details.
    ---><---

    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. David A. Belsley, 1974. "Estimation of Systems of Simultaneous Equations, and Computational Specifications of GREMLIN," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 3, number 4, pages 551-614, National Bureau of Economic Research, Inc.
    2. Marianna Belloc, 2007. "Protection for Sale in the EU," Working Papers in Public Economics 100, Department of Economics and Law, Sapienza University of Roma.
    3. Ray C. Fair, 1973. "A Comparison of FIML and Robust Estimates of a Nonlinear Macroeconomic Model," NBER Working Papers 0015, National Bureau of Economic Research, Inc.
    4. Ernst R. Berndt & Bronwyn H. Hall & Robert E. Hall & Jerry A. Hausman, 1974. "Estimation and Inference in Nonlinear Structural Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 3, number 4, pages 653-665, National Bureau of Economic Research, Inc.
    5. Amemiya, Takeshi, 1983. "Non-linear regression models," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 1, chapter 6, pages 333-389, Elsevier.
    6. David A. Belsley & Kent D. Wall, 1976. "Estimation of Econometric Model Using Nonlinear Full Information Maximum Likelihood: Preliminary Computer Results," NBER Working Papers 0142, National Bureau of Economic Research, Inc.
    7. Ray C. Fair, 1974. "On the Robust Estimation of Econometric Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 3, number 4, pages 667-677, National Bureau of Economic Research, Inc.

    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:tpr:restat:v:55:y:1973:i:1:p:104-09. 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: The MIT Press (email available below). General contact details of provider: https://direct.mit.edu/journals .

    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.