IDEAS home Printed from https://ideas.repec.org/a/jae/japmet/v18y2003i1p105-110.html
   My bibliography  Save this article

GRETL: Econometric software for the GNU generation

Author

Listed:
  • Giovanni Baiocchi

    (Department of Environment, University of York, York YO10 5DD, UK)

  • Walter Distaso

    (Department of Economics, University of Exeter, Exeter EX4 4PU, UK)

Abstract

No abstract is available for this item.

Suggested Citation

  • Giovanni Baiocchi & Walter Distaso, 2003. "GRETL: Econometric software for the GNU generation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 105-110.
    • Handle: RePEc:jae:japmet:v:18:y:2003:i:1:p:105-110
    DOI: 10.1002/jae.704
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1002/jae.704
    File Function: Link to full text; subscription required
    Download Restriction: no
    File URL: http://qed.econ.queensu.ca:80/jae/2003-v18.1/
    File Function: Supporting data files and programs
    Download Restriction: no

    References listed on IDEAS

    as
    1. H. D. Vinod & B. D. McCullough, 1999. "The Numerical Reliability of Econometric Software," Journal of Economic Literature, American Economic Association, vol. 37(2), pages 633-665, June.
    2. MacKinnon, James G, 1996. "Numerical Distribution Functions for Unit Root and Cointegration Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 601-618, Nov.-Dec..
    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 & A. Yasemin Yalta, 2007. "GRETL 1.6.0 and its numerical accuracy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(4), pages 849-854.
    2. Ryan J. Smith & J. Wilson Mixon Jr, 2006. "Teaching undergraduate econometrics with GRETL," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(7), pages 1103-1107.
    3. John Paravantis & Mat Santamouris & Constantinos Cartalis & Chrysanthi Efthymiou & Nikoletta Kontoulis, 2017. "Mortality Associated with High Ambient Temperatures, Heatwaves, and the Urban Heat Island in Athens, Greece," Sustainability, MDPI, Open Access Journal, vol. 9(4), pages 1-22, April.
    4. Błażejowski, Marcin & Kwiatkowski, Jacek, 2015. "Bayesian Model Averaging and Jointness Measures for gretl," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 68(i05).
    5. Copiello, Sergio & Grillenzoni, Carlo, 2017. "Is the cold the only reason why we heat our homes? Empirical evidence from spatial series data," Applied Energy, Elsevier, vol. 193(C), pages 491-506.
    6. Rosenblad, Andreas, 2008. "gret1 1.7.3," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(s01).
    7. Allin Cottrell, 2009. "Gretl: Retrospect, Design and Prospect," EHUCHAPS, in: Ignacio Díaz-Emparanza & Petr Mariel & María Victoria Esteban (ed.),Econometrics with gretl. Proceedings of the gretl Conference 2009, edition 1, chapter 1, pages 3-13, Universidad del País Vasco - Facultad de Ciencias Económicas y Empresariales.
    8. R. D. Shelton, 2020. "Scientometric laws connecting publication counts to national research funding," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 181-206, April.
    9. Sambracos, Evangelos & Paravantis, John, 2006. "A comparative assessment of aggregate car ownership model estimation methodologies," MPRA Paper 52294, University Library of Munich, Germany.
    10. Federico Lampis & Ignacio Díaz-Emparanza & Anindya Banerjee, 2015. "How to use SETAR models in gretl," Computational Economics, Springer;Society for Computational Economics, vol. 46(2), pages 231-241, August.
    11. A. Yalta & A. Yalta, 2010. "Should Economists Use Open Source Software for Doing Research?," Computational Economics, Springer;Society for Computational Economics, vol. 35(4), pages 371-394, April.
    12. 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.

    More about this item

    Lists

    This item is featured on the following reading lists, Wikipedia, or ReplicationWiki pages:
    1. GRETL: Econometric software for the GNU generation (Journal of Applied Econometrics 2003) 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:18:y:2003:i:1:p:105-110. 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.