IDEAS home Printed from https://ideas.repec.org/p/pes/wpaper/2015no90.html
   My bibliography  Save this paper

On the Use of Panel Stationarity Tests in Convergence Analysis: Empirical Evidence for the EU Countries

Author

Listed:
  • Mariusz Prochniak

    () (Warsaw School of Economics)

  • Bartosz Witkowski

    () (Warsaw School of Economics)

Abstract

The study examines the concept of stochastic convergence in the EU28 countries over the 1994-2013 period. The convergence of individual countries’ GDP per capita toward the EU28 average per capita income level and the pair-wise convergence between the GDP of individual countries both are analyzed. Additionally, we introduce our own concept of conditional stochastic convergence which is based on adjusted GDP per capita series in order to account for the impact of other growth factors on GDP. The analysis is based on time series techniques. To assess stationarity, ADF tests are used. The study shows that the process of stochastic convergence in the EU countries is not so widespread as the cross-sectional studies on ? or ? convergence indicate. Even if we extend the analysis to examine conditional stochastic convergence, the number of converging economies or pairs of countries rises but not as much as it could be expected from the cross-sectional studies.

Suggested Citation

  • Mariusz Prochniak & Bartosz Witkowski, 2015. "On the Use of Panel Stationarity Tests in Convergence Analysis: Empirical Evidence for the EU Countries," Working Papers 90/2015, Institute of Economic Research, revised Apr 2015.
  • Handle: RePEc:pes:wpaper:2015:no90
    as

    Download full text from publisher

    File URL: http://www.badania-gospodarcze.pl/images/Working_Papers/2015_No_90.pdf
    File Function: First version, 2015
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Hashem Pesaran, M., 2007. "A pair-wise approach to testing for output and growth convergence," Journal of Econometrics, Elsevier, vol. 138(1), pages 312-355, May.
    2. Maria Abreu & Henri L. F. de Groot & Raymond J. G. M. Florax, 2005. "A Meta‐Analysis of β‐Convergence: the Legendary 2%," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 389-420, July.
    3. Bernard, Andrew B. & Durlauf, Steven N., 1996. "Interpreting tests of the convergence hypothesis," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 161-173.
    4. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    5. N. Gregory Mankiw & David Romer & David N. Weil, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, Oxford University Press, vol. 107(2), pages 407-437.
    6. LAU, Chi Keung Marco, 2010. "New evidence about regional income divergence in China," China Economic Review, Elsevier, vol. 21(2), pages 293-309, June.
    7. Cunado, J. & Perez de Gracia, F., 2006. "Real convergence in Africa in the second-half of the 20th century," Journal of Economics and Business, Elsevier, vol. 58(2), pages 153-167.
    8. Evans, Paul & Kim, Ji Uk, 2011. "Stochastic convergence of the catch-up rate and multiple structural breaks in Asian countries," Economics Letters, Elsevier, vol. 111(3), pages 260-263, June.
    9. Kane, Richard, 2001. "Investigating Convergence of the U.S. Regions: A Time-Series Analysis," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 31(1), pages 1-22.
    10. Christopoulos, Dimitris K. & León-Ledesma, Miguel A., 2008. "Time-series output convergence tests and stationary covariates," Economics Letters, Elsevier, vol. 101(3), pages 297-299, December.
    11. Juncal Cunado, 2011. "Structural breaks and real convergence in OPEC countries," Journal of Applied Economics, Universidad del CEMA, vol. 14, pages 101-117, May.
    12. Próchniak, Mariusz & Witkowski, Bartosz, 2013. "Time stability of the beta convergence among EU countries: Bayesian model averaging perspective," Economic Modelling, Elsevier, vol. 30(C), pages 322-333.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Marta Kuc-Czarnecka & Samuele Lo Piano & Andrea Saltelli, 2020. "Quantitative Storytelling in the Making of a Composite Indicator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(3), pages 775-802, June.
    2. Mariusz Prochniak & Magdalena Szyszko, 2019. "The similarity of European central banks in terms of transparency and effectiveness," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 14(3), pages 385-404, September.
    3. Mateusz Pipieñ & Sylwia Roszkowska, 2017. "The Heterogeneity of Convergence in Transition Countries," Lodz Economics Working Papers 7/2017, University of Lodz, Faculty of Economics and Sociology.
    4. Agnieszka Głodowska, 2017. "Business Environment and Economic Growth in the European Union Countries: What Can Be Explained for the Convergence?," Entrepreneurial Business and Economics Review, Centre for Strategic and International Entrepreneurship at the Cracow University of Economics., vol. 5(4), pages 189-204.

    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. Mariusz Próchniak & Bartosz Witkowski, 2015. "Stochastic Convergence of the European Union Countries: A Conditional Approach," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 39, pages 41-56.
    2. Johan Lyhagen & Johanna Rickne, 2014. "Income inequality between Chinese regions: newfound harmony or continued discord?," Empirical Economics, Springer, vol. 47(1), pages 93-110, August.
    3. Battisti, Michele & Di Vaio, Gianfranco & Zeira, Joseph, 2013. "Global Divergence in Growth Regressions," CEPR Discussion Papers 9687, C.E.P.R. Discussion Papers.
    4. 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.
    5. Lehmann, Hartmut & Silvagni, Maria Giulia, 2013. "Is There Convergence of Russia's Regions? Exploring the Empirical Evidence: 1995–2010," IZA Discussion Papers 7603, Institute of Labor Economics (IZA).
    6. Massimiliano Affinito, 2011. "Convergence clubs, the euro-area rank and the relationship between banking and real convergence," Temi di discussione (Economic working papers) 809, Bank of Italy, Economic Research and International Relations Area.
    7. Nicholas Apergis & Christina Christou & Stephen Miller, 2012. "Convergence patterns in financial development: evidence from club convergence," Empirical Economics, Springer, vol. 43(3), pages 1011-1040, December.
    8. Pei-Chien Lin & Ho-Chuan Huang, 2012. "Convergence in income inequality? evidence from panel unit root tests with structural breaks," Empirical Economics, Springer, vol. 43(1), pages 153-174, August.
    9. Peter Mulder & Henri Groot, 2007. "Sectoral Energy- and Labour-Productivity Convergence," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 36(1), pages 85-112, January.
    10. Markus Eberhardt & Francis Teal, 2011. "Econometrics For Grumblers: A New Look At The Literature On Cross‐Country Growth Empirics," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 109-155, February.
    11. Fabrizio Carmignani, 2001. "Theory and Evidence on the Political Economy of Growth," Working Papers 33, University of Milano-Bicocca, Department of Economics, revised Jan 2001.
    12. Giovanni Caggiano & Leone Leonida, 2009. "International output convergence: evidence from an autocorrelation function approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(1), pages 139-162.
    13. Cheong, Tsun Se & Wu, Yanrui, 2013. "Regional disparity, transitional dynamics and convergence in China," Journal of Asian Economics, Elsevier, vol. 29(C), pages 1-14.
    14. Li, Tingting & Wang, Yong, 2018. "Growth channels of human capital: A Chinese panel data study," China Economic Review, Elsevier, vol. 51(C), pages 309-322.
    15. Tunali, Çiǧdem Börke & Yilanci, Veli, 2010. "Are per capita incomes of MENA countries converging or diverging?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4855-4862.
    16. Matsuki, Takashi & Usami, Ryoichi, 2007. "China's Regional Convergence in Panels with Multiple Structural Breaks," MPRA Paper 10167, University Library of Munich, Germany, revised 17 May 2008.
    17. Kang, Sung Jin & Lee, Myoungjae, 2005. "Q-convergence with interquartile ranges," Journal of Economic Dynamics and Control, Elsevier, vol. 29(10), pages 1785-1806, October.
    18. Breinlich, Holger & Ottaviano, Gianmarco I.P. & Temple, Jonathan R.W., 2014. "Regional Growth and Regional Decline," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.),Handbook of Economic Growth, edition 1, volume 2, chapter 4, pages 683-779, Elsevier.
    19. Bas Straathof & Gert Jan Linders & Arjan Lejour & Jan Möhlmann, 2008. "The internal market and the Dutch economy: implications for trade and economic growth," CPB Document 168, CPB Netherlands Bureau for Economic Policy Analysis.
    20. Lin, Pei-Chien & Huang, Ho-Chuan (River), 2012. "Inequality convergence revisited: Evidence from stationarity panel tests with breaks and cross correlation," Economic Modelling, Elsevier, vol. 29(2), pages 316-325.

    More about this item

    Keywords

    economic growth; convergence; catching up; stationarity; ADF test;

    JEL classification:

    • 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
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pes:wpaper:2015:no90. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Adam P. Balcerzak). General contact details of provider: http://edirc.repec.org/data/ibgtopl.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.