IDEAS home Printed from https://ideas.repec.org/a/jae/japmet/v15y2000i5p531-542.html
   My bibliography  Save this article

Econometrics with Octave

Author

Listed:
  • Dirk Eddelbuettel

    (Bank of Montreal, 111 West Monroe St, Chicago, Illinois 60603, USA)

Abstract

GNU Octave is an open-source implementation of a (mostly Matlab compatible) high-level language for numerical computations. This review briefly introduces Octave, discusses applications of Octave in an econometric context, and illustrates how to extend Octave with user-supplied C++ code. Several examples are provided. Copyright © 2000 John Wiley & Sons, Ltd.

Suggested Citation

  • Dirk Eddelbuettel, 2000. "Econometrics with Octave," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 531-542.
    • Handle: RePEc:jae:japmet:v:15:y:2000:i:5:p:531-542
    as

    Download full text from publisher

    File URL: http://qed.econ.queensu.ca:80/jae/2000-v15.5/
    File Function: Supporting data files and programs
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cribari-Neto, Francisco & Jensen, Mark J, 1997. "MATLAB as an Econometric Programming Environment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(6), pages 735-744, Nov.-Dec..
    2. MacKinnon, James G, 1999. "The Linux Operating System: Debian GNU/Linux," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(4), pages 443-452, July-Aug..
    3. Eddelbuttel, Dirk, 1996. "Object-Oriented Econometrics: Matrix Programming in C++ Using GCC and NEWMAT," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(2), pages 199-209, March-Apr.
    4. Cribari-Neto, Francisco, 1997. "Econometric Programming Environments: GAUSS, Ox and S-PLUS," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(1), pages 77-89, Jan.-Feb..
    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. A. Talha Yalta & Riccardo Lucchetti, 2008. "The GNU|Linux platform and freedom respecting software for economists," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(2), pages 279-286.
    2. Michael Creel, 2005. "User-Friendly Parallel Computations with Econometric Examples," Computational Economics, Springer;Society for Computational Economics, vol. 26(2), pages 107-128, October.
    3. Christine Choirat & Raffello Seri, 2009. "Econometrics with Python," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 698-704.
    4. Giovanni Baiocchi, 2003. "Managing econometric projects using Perl," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(3), pages 371-378.
    5. Michael Creel, 2005. "User-Friendly Parallel Computations with Econometric Examples," UFAE and IAE Working Papers 637.05, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    6. Giovanni Baiocchi, 2007. "Reproducible research in computational economics: guidelines, integrated approaches, and open source software," Computational Economics, Springer;Society for Computational Economics, vol. 30(1), pages 19-40, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Francisco Cribari-Neto & Spyros Zarkos, 2003. "Econometric and Statistical Computing Using Ox," Computational Economics, Springer;Society for Computational Economics, vol. 21(3), pages 277-295, June.
    2. Luebke, Karsten & Czogiel, Irina & Weihs, Claus, 2004. "Latent Factor Prediction Pursuit for Rank Deficient Regressors," Technical Reports 2004,75, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    3. Kulaksizoglu, Tamer, 2015. "Object-Oriented Econometrics with Ox," MPRA Paper 62545, University Library of Munich, Germany.
    4. Sébastien Laurent & Jean‐Pierre Urbain, 2005. "Bridging the gap between Ox and Gauss using OxGauss," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 131-139, January.
    5. van der Sluis Pieter J., 1997. "EmmPack 1.01: C/C++ Code for Use with Ox for Estimation of Univariate Stochastic Volatility Models with the Efficient Method of Moments," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 2(3), pages 1-20, October.
    6. Cribari-Neto, Francisco, 2004. "Asymptotic inference under heteroskedasticity of unknown form," Computational Statistics & Data Analysis, Elsevier, vol. 45(2), pages 215-233, March.
    7. Maus, S. & Peters, H.J.M. & Storcken, A.J.A., 2004. "Minimal manipulability: anonymity and surjectivity," Research Memorandum 007, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    8. Giovanni Baiocchi, 2007. "Reproducible research in computational economics: guidelines, integrated approaches, and open source software," Computational Economics, Springer;Society for Computational Economics, vol. 30(1), pages 19-40, August.
    9. J. Racine, 2000. "The Cygwin tools: a GNU toolkit for Windows," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(3), pages 331-341.
    10. Kulaksizoglu, Tamer, 2012. "Numerical accuracy of Ox 6.2," MPRA Paper 38219, University Library of Munich, Germany.
    11. Ooms, M., 2008. "Trends in Applied Econometrics Software Development 1985-2008, an analysis of Journal of Applied Econometrics research articles, software reviews, data and code," Serie Research Memoranda 0021, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    12. Francisco Cribari‐Neto & Spyros G. Zarkos, 1999. "R: yet another econometric programming environment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(3), pages 319-329, May.

    More about this item

    Lists

    This item is featured on the following reading lists, Wikipedia, or ReplicationWiki pages:
    1. Econometrics with Octave (Journal of Applied Econometrics 2000) in ReplicationWiki

    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:15:y:2000:i:5:p:531-542. 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.

    If CitEc recognized a bibliographic 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.

    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 (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/0883-7252/ .

    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.