IDEAS home Printed from https://ideas.repec.org/a/vep/journl/y2008v116i1p3-36.html
   My bibliography  Save this article

Panel Cointegration Tests: A Survey

Author

Listed:
  • Laura Barbieri

    (Universita' Cattolica del Sacro Cuore - Piacenza)

Abstract

Over the last decade much research has been carried out on the topic of econometric non-stationary panel data, especially because of the availability of new datasets (e.g. the Penn World Tables) in which the time-series dimension and the cross-section dimension are of the same order of magnitude. This paper presents a review of the most recent cointegration tests in a panel framework. This kind of test has been developed to extend the unit root approach to a multivariate context. Panel cointegration tests in literature are twofold, on the one hand there are those which verify the null hypothesis of no cointegration, on the other hand there are those which verify the null hypothesis of cointegration. This paper covers both sides of the subject providing insights on the applicability of these tests.

Suggested Citation

  • Laura Barbieri, 2008. "Panel Cointegration Tests: A Survey," Rivista Internazionale di Scienze Sociali, Vita e Pensiero, Pubblicazioni dell'Universita' Cattolica del Sacro Cuore, vol. 116(1), pages 3-36.
    • Handle: RePEc:vep:journl:y:2008:v:116:i:1:p:3-36
    as

    Download full text from publisher

    File URL: http://www.vponline.it/riviste/riss/2008/1/
    Download Restriction: Yes
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shobande, Olatunji A. & Asongu, Simplice A., 2022. "The Critical Role of Education and ICT in Promoting Environmental Sustainability in Eastern and Southern Africa: A Panel VAR Approach," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    2. Ciarlone, Alessio, 2011. "Housing wealth effect in emerging economies," Emerging Markets Review, Elsevier, vol. 12(4), pages 399-417.
    3. Engin Erdogan & Meliha Ener & Feyza Arica & Murat Guven, 2013. "Impact of Global Recession on Selected OECD Countries: A Panel Data Analysis," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 75-92.
    4. Viviana A. Alfonso-Corredor & Enrique Montes-Uribe & María A. Prieto-Sánchez & Héctor M. Zárate-Solano, 2019. "Determinantes y evolución de los precios y cantidades de las principales exportaciones agrícolas de Colombia diferentes al café," Borradores de Economia 1100, Banco de la Republica de Colombia.
    5. Simona-Vasilica Oprea & Irina Alexandra Georgescu & Adela Bâra, 2024. "Charting the BRIC countries’ connection of political stability, economic growth, demographics, renewables and CO2 emissions," Economic Change and Restructuring, Springer, vol. 57(5), pages 1-35, October.
    6. Dalina-Maria ANDREI, 2021. "New Companies’ Formation In Romania. A Pvar Model Approach," Internal Auditing and Risk Management, Athenaeum University of Bucharest, vol. 62(2), pages 30-45, June.
    7. Alessio Ciarlone, 2012. "Wealth effects in emerging economies," Temi di discussione (Economic working papers) 843, Bank of Italy, Economic Research and International Relations Area.
    8. Hussain A. Bekhet & Ahmad Mohammad Alsmadi & Mohamed Khudari, 2020. "Effects of Internal and External Factors on Profitability of Jordanian Commercial Banks: Panel Data Approach," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 11(5), pages 359-375, October.
    9. Masih, Mansur & Majid, Hamdan Abdul, 2013. "Stock Price and Industrial Production in Developing Countries: A Dynamic Heterogeneous Panel Analysis," MPRA Paper 58308, University Library of Munich, Germany.

    More about this item

    Keywords

    http://riss.vitaepensiero.it/scheda-articolo_digital/laura-barbieri/panel-cointegration-tests-a-survey-000518_2008_0001_0002-150897.html;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    Statistics

    Access and download statistics

    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:vep:journl:y:2008:v:116:i:1:p:3-36. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Vep - Vita e Pensiero (email available below). General contact details of provider: .

    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.