IDEAS home Printed from https://ideas.repec.org/a/jae/japmet/v23y2008i2p279-286.html
   My bibliography  Save this article

The GNU|Linux platform and freedom respecting software for economists

Author

Listed:
  • A. Talha Yalta

    (TOBB University of Economics and Technology, Ankara, Turkey)

  • Riccardo Lucchetti

    (Dipartimento di Economia, Universita Politecnica delle Marche, Ancona, Italy)

Abstract

The GNU|Linux operating system is rapidly gaining ground as an attractive alternative to the proprietary platforms particularly in academic institutions and government agencies. Here, we supply an assessment of this resource from the perspective of econometricians, discuss its benefits and disadvantages along with a basic overview of some of the popular free|libre and open source programs hosted by this platform for conducting research in economics. Copyright © 2008 John Wiley & Sons, Ltd.

Suggested Citation

  • 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.
    • Handle: RePEc:jae:japmet:v:23:y:2008:i:2:p:279-286
    DOI: 10.1002/jae.990
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1002/jae.990
    File Function: Link to full text; subscription required
    Download Restriction: no
    File URL: http://qed.econ.queensu.ca:80/jae/2008-v23.2/
    File Function: Supporting data files and programs
    Download Restriction: no
    File URL: https://libkey.io/10.1002/jae.990?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    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. J. Wilson Mixon Jr & Ryan J. Smith, 2006. "Teaching undergraduate econometrics with GRETL," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(7), pages 1103-1107, November.
    3. de Laat, Paul B., 2005. "Copyright or copyleft?: An analysis of property regimes for software development," Research Policy, Elsevier, vol. 34(10), pages 1511-1532, December.
    4. Michael Creel, 2007. "I ran four million probits last night: HPC clustering with ParallelKnoppix," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 215-223.
    5. Jeff Racine & Rob Hyndman, 2002. "Using R to teach econometrics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(2), pages 175-189.
    6. Ruud H. Koning, 2001. "A comparison of different LaTeX programs," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(1), pages 81-92.
    7. 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.
    8. Dirk Eddelbuettel, 2000. "Econometrics with Octave," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 531-542.
    9. Mico Mrkaic, 2001. "Scilab as an econometric programming system," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(4), pages 553-559.
    10. Cribari-Neto, Francisco & Zarkos, Spyros G, 1999. "R: Yet Another Econometric Programming Environment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(3), pages 319-329, May-June.
    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. David Chaum & Christian Grothoff & Thomas Moser, 2021. "How to Issue a Central Bank Digital Currency," Papers 2103.00254, arXiv.org.
    2. Lucchetti, Riccardo, 2011. "State Space Methods in gretl," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 41(i11).
    3. 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.

    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. Christine Choirat & Raffello Seri, 2009. "Econometrics with Python," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 698-704.
    2. Zeileis, Achim, 2006. "Implementing a class of structural change tests: An econometric computing approach," Computational Statistics & Data Analysis, Elsevier, vol. 50(11), pages 2987-3008, July.
    3. 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.
    4. 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.
    5. Lee C. Adkins, 2011. "Monte Carlo Experiments Using gretl: A Primer," Economics Working Paper Series 1103, Oklahoma State University, Department of Economics and Legal Studies in Business.
    6. Robert Finger, 2010. "Review of ‘Robustbase’ software for R," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(7), pages 1205-1210, November/.
    7. Ignacio Díaz-Emparanza & Petr Mariel & María Victoria Esteban (ed.), 2009. "Econometrics with gretl. Proceedings of the gretl Conference 2009," UPV/EHU Books, Universidad del País Vasco - Facultad de Ciencias Económicas y Empresariales, edition 1, number 01, June.
    8. A. Talha Yalta & A. Yasemin Yalta, 2009. "Wilkinson Tests and gretl," EHUCHAPS, in: Ignacio Díaz-Emparanza & Petr Mariel & María Victoria Esteban (ed.), Econometrics with gretl. Proceedings of the gretl Conference 2009, edition 1, chapter 16, pages 243-251, Universidad del País Vasco - Facultad de Ciencias Económicas y Empresariales.
    9. Achim Zeileis & Friedrich Leisch & Christian Kleiber & Kurt Hornik, 2005. "Monitoring structural change in dynamic econometric models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 99-121, January.
    10. Jinhu Li & Jeffrey S. Racine, 2008. "Maxima: An open source computer algebra system," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(4), pages 515-523.
    11. 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.
    12. Engelhardt, Sebastian v. & Freytag, Andreas, 2013. "Institutions, culture, and open source," Journal of Economic Behavior & Organization, Elsevier, vol. 95(C), pages 90-110.
    13. Marta Szczepańczyk & Paweł Nowodziński & Adam Sikorski, 2023. "ESG Strategy and Financial Aspects Using the Example of an Oil and Gas Midstream Company: The UNIMOT Group," Sustainability, MDPI, vol. 15(18), pages 1-24, September.
    14. Michael Creel, 2008. "Using Parallelization to Solve a Macroeconomic Model: A Parallel Parameterized Expectations Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 32(4), pages 343-352, November.
    15. Courgeau, Daniel, 2012. "Probability and social science : methodologial relationships between the two approaches ?," MPRA Paper 43102, University Library of Munich, Germany.
    16. Cees Diks & Cars Hommes & Valentyn Panchenko & Roy Weide, 2008. "E&F Chaos: A User Friendly Software Package for Nonlinear Economic Dynamics," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 221-244, September.
    17. Sebastian von Engelhardt, 2011. "What Economists Know about Open Source Software - Its Basic Principles and Research Results," Jena Economics Research Papers 2011-005, Friedrich-Schiller-University Jena.
    18. Zeileis, Achim, 2004. "Econometric Computing with HC and HAC Covariance Matrix Estimators," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 11(i10).
    19. Miguel Rodrigues, 2005. "Regression with R," Econometrics 0508016, University Library of Munich, Germany.
    20. Caulkins, Jonathan P. & Feichtinger, Gustav & Grass, Dieter & Hartl, Richard F. & Kort, Peter M. & Seidl, Andrea, 2013. "When to make proprietary software open source," Journal of Economic Dynamics and Control, Elsevier, vol. 37(6), pages 1182-1194.

    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:23:y:2008:i:2:p:279-286. 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.