IDEAS home Printed from https://ideas.repec.org/a/jae/japmet/v24y2009i4p698-704.html
   My bibliography  Save this article

Econometrics with Python

Author

Listed:
  • Christine Choirat

    (Department of Quantitative Methods, School of Economics and Business Management, Universidad de Navarra, Edificio de Bibliotecas, Pamplona, Spain)

  • Raffello Seri

    (Dipartimento di Economia, Università degli Studi dell'Insubria, Varese, Italy)

Abstract

No abstract is available for this item.

Suggested Citation

  • Christine Choirat & Raffello Seri, 2009. "Econometrics with Python," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 698-704.
  • Handle: RePEc:jae:japmet:v:24:y:2009:i:4:p:698-704
    DOI: 10.1002/jae.1088
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1002/jae.1088
    File Function: Link to full text; subscription required
    Download Restriction: no

    File URL: http://qed.econ.queensu.ca:80/jae/2009-v24.4/
    File Function: Supporting data files and programs
    Download Restriction: no

    References listed on IDEAS

    as
    1. Jeff Racine & Rob Hyndman, 2002. "Using R to teach econometrics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(2), pages 175-189.
    2. Giovanni Baiocchi, 2003. "Managing econometric projects using Perl," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(3), pages 371-378.
    3. Dirk Eddelbuettel, 2000. "Econometrics with Octave," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 531-542.
    4. Jeff Racine, 2006. "gnuplot 4.0: a portable interactive plotting utility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 133-141.
    5. Mico Mrkaic, 2001. "Scilab as an econometric programming system," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(4), pages 553-559.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Christine Choirat & Raffaello Seri, . "On Embedding Gretl in a Python Module," EHUCHAPS, Universidad del País Vasco - Facultad de Ciencias Económicas y Empresariales.
    2. Roseline Bilina & Steve Lawford, 2012. "Python for Unified Research in Econometrics and Statistics," Econometric Reviews, Taylor & Francis Journals, vol. 31(5), pages 558-591, September.

    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:jae:japmet:v:24:y:2009:i:4:p:698-704. 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: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum). General contact details of provider: http://www.interscience.wiley.com/jpages/0883-7252/ .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.