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Convergence in International Output: Evidence from Panel Data Unit Root Tests

Author

Listed:
  • J. Holmes, Mark

    (Loughborough University)

Abstract

This paper investigates international output convergence using methods of panel data unit root testing advocated by Im et al. (1997) and Breuer et al. (1999). Using quarterly data for a sample of OECD economies for the period 1960-98 on GDP differentials, the evidence suggests that power deficiency may be an issue where univariate ADF unit root tests find against convergence with respect to the US or Germany. However, while the Im et al. t-bar test offers strong evidence in favor of convergence, the Breuer et al. SURADF test suggests that this finding may in fact be driven by the rejection of non-stationarity in a small number of cases.

Suggested Citation

  • J. Holmes, Mark, 2002. "Convergence in International Output: Evidence from Panel Data Unit Root Tests," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 17, pages 826-838.
  • Handle: RePEc:ris:integr:0222
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    Citations

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    Cited by:

    1. Marcelo Resende & Marcos Lima, 2005. "Market share instability in Brazilian industry: a dynamic panel data analysis," Applied Economics, Taylor & Francis Journals, vol. 37(6), pages 713-718.
    2. László KÓNYA, 2023. "Per Capita Income Convergence and Divergence of Selected OECD Countries to and from the US: A Reappraisal for the period 1900-2018," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 23(1), pages 33-56.
    3. Marcelo Resende, 2004. "Gibrat's Law and the Growth of Cities in Brazil: A Panel Data Investigation," Urban Studies, Urban Studies Journal Limited, vol. 41(8), pages 1537-1549, July.
    4. Gilles Dufrénot & Valérie Mignon & Théo Naccache, 2009. "The slow convergence of per capita income between the developing countries: “growth resistance” and sometimes “growth tragedy”," Discussion Papers 09/03, University of Nottingham, CREDIT.
    5. Aslan, Alper, 2008. "Türkiye’de Suç Oranları Sürekliliğinin Analizi," MPRA Paper 10610, University Library of Munich, Germany.
    6. Reinhold Kosfeld & Jorgen Lauridsen, 2009. "Dynamic spatial modelling of regional convergence processes," Studies in Empirical Economics, in: Giuseppe Arbia & Badi H. Baltagi (ed.), Spatial Econometrics, pages 245-261, Springer.
    7. Ramesh Chandra Das & Utpal Das & Amaresh Das, 2021. "BRICS Nations and Income Convergence: An Insight from the Quarterly Data for 2006Q1–2017Q2," Global Business Review, International Management Institute, vol. 22(4), pages 1054-1069, August.
    8. Burcu Ozcan, 2014. "Does Income Converge among EU Member Countries following the Post-War Period? Evidence from the PANKPSS Test," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 22-38, October.
    9. Aslan, Alper & Kaplan, Muhittin, 2008. "Gumruk Birligi’Nin Firma Verimlilik Yakinsamasina Etkisi [The impact of customs union on firm productivity convergence]," MPRA Paper 10597, University Library of Munich, Germany.
    10. Aslan, Alper, 2008. "Convergence of per capita health care expenditures in OECD Countries," MPRA Paper 10592, University Library of Munich, Germany.

    More about this item

    Keywords

    Unit Root Testing; Panel Data; Convergence;
    All these keywords.

    JEL classification:

    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • F00 - International Economics - - General - - - General

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