IDEAS home Printed from https://ideas.repec.org/a/bpj/sndecm/v4y2000i1n2.html
   My bibliography  Save this article

A Graphical Investigation of the Size and Power of the Granger-Causality Tests in Integrated-Cointegrated VAR Systems

Author

Listed:
  • Mantalos Panagiotis

    (Lund University)

Abstract

The size and power of the Wald, Edgeworth expansion corrected likelihood-ratio statistic (LRE), and bootstrap tests for Granger causality in integrated-cointegrated VAR systems are considered. By using Monte Carlo methods and simple graphical techniques, the p-value plots, and power-size plots, properties of the tests in two different forms, the standard and the Dolado and L ¨ utkepohl (1996) modified form, are studied. Regarding the size of the tests, we found that the Wald performs badly in small- and medium-size samples, but the corrected tests, and especially the LRE for large samples, exhibit good performances. The bootstrap test showed the best performance in almost all situations. When considering the power results, using the size-power curves on a correct-size-adjusted basis, we found that the bootstrap tests have adequate power.

Suggested Citation

  • Mantalos Panagiotis, 2000. "A Graphical Investigation of the Size and Power of the Granger-Causality Tests in Integrated-Cointegrated VAR Systems," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 4(1), pages 1-18, April.
    • Handle: RePEc:bpj:sndecm:v:4:y:2000:i:1:n:2
    DOI: 10.2202/1558-3708.1053
    as

    Download full text from publisher

    File URL: https://doi.org/10.2202/1558-3708.1053
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.
    File URL: https://libkey.io/10.2202/1558-3708.1053?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Horowitz, Joel L., 1994. "Bootstrap-based critical values for the information matrix test," Journal of Econometrics, Elsevier, vol. 61(2), pages 395-411, April.
    2. Mantalos, Panagiotis & Shukur, Ghazi, 1998. "Size and Power of the Error Correction Model Cointegration Test. A Bootstrap Approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 60(2), pages 249-255, May.
    3. MacKinnon, James G, 1992. "Model Specification Tests and Artificial Regressions," Journal of Economic Literature, American Economic Association, vol. 30(1), pages 102-146, March.
    Full references (including those not matched with items on IDEAS)

    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. Nyakabawo, Wendy & Miller, Stephen M. & Balcilar, Mehmet & Das, Sonali & Gupta, Rangan, 2015. "Temporal causality between house prices and output in the US: A bootstrap rolling-window approach," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 55-73.
    2. Shakoor Ahmed & Khorshed Alam & Afzalur Rashid & Jeff Gow, 2020. "Militarisation, Energy Consumption, CO2 Emissions and Economic Growth in Myanmar," Defence and Peace Economics, Taylor & Francis Journals, vol. 31(6), pages 615-641, August.
    3. Hatemi-J, Abdulnasser, 2002. "Export performance and economic growth nexus in Japan: a bootstrap approach," Japan and the World Economy, Elsevier, vol. 14(1), pages 25-33, January.
    4. Lukasz Lach, 2010. "Application of Bootstrap Methods in Investigation of Size of the Granger Causality Test for Integrated VAR Systems," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 8(2), pages 167-186.
    5. Aye, Goodness C. & Balcilar, Mehmet & Bosch, Adél & Gupta, Rangan, 2014. "Housing and the business cycle in South Africa," Journal of Policy Modeling, Elsevier, vol. 36(3), pages 471-491.
    6. Mehmet Balcilar & Rangan Gupta & Stephen M. Miller, 2014. "Housing and the Great Depression," Applied Economics, Taylor & Francis Journals, vol. 46(24), pages 2966-2981, August.
    7. Roula Inglesi-Lotz & Mehmet Balcilar & Rangan Gupta, 2014. "Time-varying causality between research output and economic growth in US," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 203-216, July.
    8. Narayan, Paresh Kumar & Prasad, Arti, 2008. "Electricity consumption-real GDP causality nexus: Evidence from a bootstrapped causality test for 30 OECD countries," Energy Policy, Elsevier, vol. 36(2), pages 910-918, February.
    9. Wesseh, Presley K. & Zoumara, Babette, 2012. "Causal independence between energy consumption and economic growth in Liberia: Evidence from a non-parametric bootstrapped causality test," Energy Policy, Elsevier, vol. 50(C), pages 518-527.
    10. Muhammad Shahbaz & Mehmet Balcilar & Mantu Kumar Mahalik & Seyi Saint Akadiri, 2023. "Is causality between globalization and energy consumption bidirectional or unidirectional in top and bottom globalized economies?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1939-1964, April.
    11. Balcilar, Mehmet & Ozdemir, Zeynel Abidin & Arslanturk, Yalcin, 2010. "Economic growth and energy consumption causal nexus viewed through a bootstrap rolling window," Energy Economics, Elsevier, vol. 32(6), pages 1398-1410, November.
    12. Lin, Boqiang & Wesseh Jr., Presley K., 2014. "Energy consumption and economic growth in South Africa reexamined: A nonparametric testing apporach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 840-850.
    13. Mehmet Balcilar & Zeynel Ozdemir, 2013. "The export-output growth nexus in Japan: a bootstrap rolling window approach," Empirical Economics, Springer, vol. 44(2), pages 639-660, April.
    14. Gurgul, Henryk & Lach, Łukasz, 2012. "The association between stock market and exchange rates for advanced and emerging markets – A case study of the Swiss and Polish economies," MPRA Paper 52238, University Library of Munich, Germany.
    15. Aye, Goodness C. & Balcilar, Mehmet & El Montasser, Ghassen & Gupta, Rangan & Manjez, Nangamso C., 2016. "Can debt ceiling and government shutdown predict us real stock returns? A bootstrap rolling window approach. - Gli effetti sui rendimenti azionari reali negli USA del tetto del debito pubblico e del b," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 69(1), pages 11-32.
    16. Mantalos Panagiotis, 2003. "Bootstrapping the Breusch-Godfrey autocorrelation test for a single equation dynamic model: Bootstrapping the Restricted vs. Unrestricted model," Monte Carlo Methods and Applications, De Gruyter, vol. 9(3), pages 257-269, September.
    17. Kumar Narayan, Paresh, 2005. "The relationship between saving and investment for Japan," Japan and the World Economy, Elsevier, vol. 17(3), pages 293-309, August.
    18. Mehmet Akif, Destek & Muhammad, Shahbaz & Ilyas, Okumus & Shawkat, Hammoudeh & Avik, Sinha, 2020. "The relationship between economic growth and carbon emissions in G-7 countries: evidence from time-varying parameters with a long history," MPRA Paper 100514, University Library of Munich, Germany, revised Apr 2020.
    19. Mantalos, Panagiotis & Shukur, Ghazi, 2008. "Bootstrap methods for autocorrelation test with uncorrelated but not independent errors," Economic Modelling, Elsevier, vol. 25(5), pages 1040-1050, September.
    20. Tsai, I-Chun, 2019. "Dynamic price–volume causality in the American housing market: A signal of market conditions," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 385-400.

    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:bpj:sndecm:v:4:y:2000:i:1:n:2. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    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.