IDEAS home Printed from https://ideas.repec.org/a/wly/emjrnl/v18y2015i2pa1-a13.html
   My bibliography  Save this article

Edmond Malinvaud: a tribute to his contributions in econometrics

Author

Listed:
  • Peter C. B. Phillips

Abstract

This paper provides a tribute to Edmond Malinvaud's contributions to econometrics. We overview the primary original contributions in Edmond Malinvaud's masterful work The Statistical Methods of Econometrics. This advanced text�developed a complete treatment of linear estimation theory using geometric methods and, for the first time, provided rigorous nonlinear regression asymptotics, using this theory as the basis of a rigorous development of the limit theory for simultaneous equations theory. Malinvaud's treatise remained the most complete textbook study of econometric methods for several decades.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Peter C. B. Phillips, 2015. "Edmond Malinvaud: a tribute to his contributions in econometrics," Econometrics Journal, Royal Economic Society, vol. 18(2), pages 1-13, June.
    • Handle: RePEc:wly:emjrnl:v:18:y:2015:i:2:p:a1-a13
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/ectj.12051
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Matthieu Renault, 2020. "Theory to the Rescue of Large-scale Models: Edmond Malinvaud's Alternative View on the Search for Microfoundations," GREDEG Working Papers 2020-27, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France, revised Apr 2021.
    2. Lieberman, Offer & Phillips, Peter C.B., 2017. "A multivariate stochastic unit root model with an application to derivative pricing," Journal of Econometrics, Elsevier, vol. 196(1), pages 99-110.

    More about this item

    JEL classification:

    • A19 - General Economics and Teaching - - General Economics - - - Other
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General

    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:wly:emjrnl:v:18:y:2015:i:2:p:a1-a13. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/resssea.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.