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Teaching undergraduate econometrics with GRETL

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  • J. Wilson Mixon Jr
  • Ryan J. Smith

Abstract

This paper reviews GRETL, a software package for econometrics. Mainly it discusses GRETL's merits as an aid in teaching undergraduate econometrics. This discussion is in two parts. First one author, an instructor, reviews the teaching of undergraduate econometrics with GRETL. Then the second author, a student, discusses the experience of being introduced to GRETL as part of the introductory course and of putting it to work as part of his employment. The paper briefly discusses GRETL as a research tool. Copyright © 2006 John Wiley & Sons, Ltd.

Suggested Citation

  • 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.
  • Handle: RePEc:wly:japmet:v:21:y:2006:i:7:p:1103-1107
    DOI: 10.1002/jae.927
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    References listed on IDEAS

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    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 & Walter Distaso, 2003. "GRETL: Econometric software for the GNU generation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 105-110.
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    Cited by:

    1. 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.
    2. 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.
    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. Riccardo Lucchetti, 2009. "Who uses gretl? An Analysis of the SourceForge Download Data," EHUCHAPS, in: Ignacio Díaz-Emparanza & Petr Mariel & María Victoria Esteban (ed.), Econometrics with gretl. Proceedings of the gretl Conference 2009, edition 1, chapter 3, pages 45-55, Universidad del País Vasco - Facultad de Ciencias Económicas y Empresariales.
    5. 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.
    6. Lee Adkins, 2014. "Using gretl for Principles of Econometrics, 4th Edition," Economics Working Paper Series 1412, Oklahoma State University, Department of Economics and Legal Studies in Business.
    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.
    8. Thomas Windberger & Achim Zeileis, 2011. "Structural Breaks in Inflation Dynamics within the European Monetary Union," Working Papers 2011-12, Faculty of Economics and Statistics, Universität Innsbruck.
    9. 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.
    10. 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.
    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. Yalta, A. Talha & Schreiber, Sven, 2012. "Random Number Generation in gretl," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 50(c01).

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