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Using gretl for Principles of Econometrics, 4th Edition

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  • Lee Adkins

    (Oklahoma State University)

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  • 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

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    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. 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. Andrews,Donald W. K. & Stock,James H. (ed.), 2005. "Identification and Inference for Econometric Models," Cambridge Books, Cambridge University Press, number 9780521844413.
    4. Beck, Nathaniel & Katz, Jonathan N., 1995. "What To Do (and Not to Do) with Time-Series Cross-Section Data," American Political Science Review, Cambridge University Press, vol. 89(3), pages 634-647, September.
    5. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    6. Arellano, Manuel, 2003. "Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780199245291.
    7. 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.
    8. 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.
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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. L. B. Sungatullina & E. I. Kadochnikova & G. R. Faizrahmanova, 2020. "Modeling the Effectiveness of Employee Compensation Based on Financial Resources," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 11(6), pages 63-72, December.
    3. Mihai Paunica, 2017. "Structural Analysis of the Final Consumption of Households: Evidence from Romania, Estonia and Latvia," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 7(3), pages 151-156, July.
    4. Olbryś Joanna, 2012. "Arch Effects in Multifactor Market-Timing Models of Polish Mutual Funds," Folia Oeconomica Stetinensia, Sciendo, vol. 10(2), pages 60-80, January.
    5. 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, vol. 3(38), pages 449-456, May.
    6. Pilar Fernández‐Ferrín & Belén Bande & Aitor Calvo‐Turrientes & M. Mercedes Galán‐Ladero, 2017. "The Choice of Local Food Products by Young Consumers: The Importance of Public and Private Attributes," Agribusiness, John Wiley & Sons, Ltd., vol. 33(1), pages 70-84, January.
    7. 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.
    8. Joanna Olbry�, 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.
    9. 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.
    10. Oyewo Babajide Michael & Oyewole Oyedayo Sharon, 2014. "Financial System, Financial Inclusion and Economic development in Nigeria," International Journal of Management Sciences, Research Academy of Social Sciences, vol. 2(3), pages 139-148.
    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. 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.
    13. 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.
    14. 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.
    15. 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.
    16. E. I. Kadochnikova* & L. F. Zulfakarova & Z. N. Zapparova & L. B. Sungatullina, 2018. "Comparative Assessment of Resource Productivity Factors in the Oil and Gas Companies," The Journal of Social Sciences Research, Academic Research Publishing Group, pages 75-79:5.
    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. 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.
    19. 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.
    20. 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.
    21. Joanna Olbryś & Elżbieta 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 Science and Technology, Faculty of Management, vol. 24(1), pages 51-70.
    22. 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, Sciendo, vol. 15(1), pages 101-113, June.

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    More about this item

    Keywords

    Economometrics; gretl;

    JEL classification:

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

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