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Using gretl for Principles of Econometrics, 4th Edition

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  • Lee Adkins

    () (Oklahoma State University)

Abstract

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Suggested Citation

  • 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.
  • Handle: RePEc:okl:wpaper:1412
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    File URL: https://business.okstate.edu/site-files/docs/ecls-working-papers/OKSWPS1412.pdf
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    References listed on IDEAS

    as
    1. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    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. repec:cup:apsrev:v:89:y:1995:i:03:p:634-647_00 is not listed on IDEAS
    4. Lee C. Adkins, 2011. "Using gretl for Monte Carlo experiments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(5), pages 880-885, August.
    5. Jurgen A. Doornik & Henrik Hansen, 2008. "An Omnibus Test for Univariate and Multivariate Normality," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(s1), pages 927-939, December.
    6. Arellano, Manuel, 2003. "Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780199245291.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Joanna Olbrys, 2013. "Asymmetric impact of innovations on volatility in the case of the US and CEEC-3 markets: EGARCH based approach," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 13, pages 33-50.
    2. Wieland, Thomas, 2014. "Räumliches Einkaufsverhalten und Standortpolitik im Einzelhandel unter Berücksichtigung von Agglomerationseffekten: Theoretische Erklärungsansätze, modellanalytische Zugänge und eine empirisch-ökonome," MPRA Paper 77163, University Library of Munich, Germany.
    3. Suhaeniti & Sangyub Ryu, 2013. "Gender, Middle Manager Management, And Performance: Evidence From Indonesian Public Schools," Working Papers EMS_2013_08, Research Institute, International University of Japan.
    4. Joanna Olbryœ, 2014. "Is illiquidity risk priced? The case of the Polish medium-size emerging stock market," Bank i Kredyt, Narodowy Bank Polski, vol. 45(6), pages 513-536.
    5. Riccardo Lucchetti, . "Who uses gretl? An Analysis of the SourceForge Download Data," EHUCHAPS, Universidad del País Vasco - Facultad de Ciencias Económicas y Empresariales.
    6. Sabina Nowak & Joanna Olbrys, 2015. "Day-of-the-Week Effects in Liquidity on the Warsaw Stock Exchange," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 15, pages 49-69.
    7. repec:hur:ijaraf:v:7:y:2017:i:3:p:151-156 is not listed on IDEAS
    8. Joanna Olbrys, 2011. "ARCH Effect in Classical Market-Timing Models with Lagged Market Variable: the Case of Polish Market," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 11, pages 185-202.
    9. Joanna Olbrys & Elzbieta Majewska, 2016. "Crisis periods and contagion effects in the CEE stock markets: the influence of the 2007 US subprime crisis," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 6(2), pages 124-137.
    10. repec:rss:jnljms:v2i3p2 is not listed on IDEAS
    11. Trenca Ioan & Cociuba Mihail Ioan, 2011. "Modeling Romanian Exchange Rate Evolution With Garch, Tgarch, Garch- In Mean Models," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(special), pages 299-305, July.
    12. Olbryś Joanna, 2012. "Arch Effects in Multifactor Market-Timing Models of Polish Mutual Funds," Folia Oeconomica Stetinensia, De Gruyter Open, pages 60-80.
    13. 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.
    14. Joanna Olbrys & Elzbieta Majewska, 2014. "Implications of market frictions: serial correlations in indexes on the emerging stock markets in Central and Eastern Europe," Operations Research and Decisions, Wroclaw University of Technology, Institute of Organization and Management, vol. 1, pages 51-70.
    15. Allin Cottrell, . "Gretl: Retrospect, Design and Prospect," EHUCHAPS, Universidad del País Vasco - Facultad de Ciencias Económicas y Empresariales.
    16. Olbryś Joanna & Majewska Elżbieta, 2015. "Testing Integration Effects Between the Cee and U.S. Stock Markets During the 2007–2009 Global Financial Crisis," Folia Oeconomica Stetinensia, De Gruyter Open, pages 101-113.
    17. 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.
    18. Zapodeanu Daniela Author & Cociuba Mihail-Ioan, 2010. "An Econometric model for the evolution of the Romanian Interbank Bid Rate (ROBID) in the context of the international financial crisis," Annals of University of Craiova - Economic Sciences Series, University of Craiova, Faculty of Economics and Business Administration, pages 449-456.
    19. Madanlo, Lalaine & Murcia, John Vianne & Tamayo, Adrian, 2016. "Simultaneity of Crime Incidence in Mindanao," MPRA Paper 72648, University Library of Munich, Germany, revised 20 Jul 2016.

    More about this item

    Keywords

    Economometrics; gretl;

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics

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