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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
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    File URL: http://qed.econ.queensu.ca:80/jae/2003-v18.1/
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    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

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    Cited by:

    1. Guo Chen & Amy K Glasmeier & Min Zhang & Yang Shao, 2016. "Urbanization and Income Inequality in Post-Reform China: A Causal Analysis Based on Time Series Data," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-16, July.
    2. 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.
    3. 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.
    4. 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, vol. 9(4), pages 1-22, April.
    5. 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).
    6. 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.
    7. 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.
    8. Rosenblad, Andreas, 2008. "gret1 1.7.3," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(s01).
    9. 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.
    10. John A. Paravantis & Panagiotis D. Tasios & Vasileios Dourmas & Georgios Andreakos & Konstantinos Velaoras & Nikoletta Kontoulis & Panagiota Mihalakakou, 2021. "A Regression Analysis of the Carbon Footprint of Megacities," Sustainability, MDPI, vol. 13(3), pages 1-24, January.
    11. 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.
    12. R. D. Shelton, 2020. "Scientometric laws connecting publication counts to national research funding," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 181-206, April.
    13. Sambracos, Evangelos & Paravantis, John, 2006. "A comparative assessment of aggregate car ownership model estimation methodologies," MPRA Paper 52294, University Library of Munich, Germany.
    14. 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.
    15. Geetanjali Pinto & Shailesh Rastogi, 2019. "Sectoral Analysis of Factors Influencing Dividend Policy: Case of an Emerging Financial Market," JRFM, MDPI, vol. 12(3), pages 1-18, June.
    16. repec:jss:jstsof:25:s01 is not listed on IDEAS
    17. 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.
    18. Bálint Balázs & Eszter Kelemen & Tiziana Centofanti & Marta W. Vasconcelos & Pietro P. M. Iannetta, 2021. "Policy Interventions Promoting Sustainable Food- and Feed-Systems: A Delphi Study of Legume Production and Consumption," Sustainability, MDPI, vol. 13(14), pages 1-43, July.
    19. 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.

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