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Time stability of the beta convergence among EU countries: Bayesian model averaging perspective

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  • Próchniak, Mariusz
  • Witkowski, Bartosz

Abstract

This paper analyzes the time stability of the GDP beta convergence in two subsamples: EU27 countries during 1993–2010 and EU15 during 1972–2010. Additionally, the article checks for the strength and stability of influence of particular economic growth factors. In order to address the problem of variables' selection, Bayesian model averaging (BMA) is used while choosing the appropriate variables for the regression. In order to loose the assumption of stability overtime in the regression, interaction terms of particular regressors are introduced with time dummies (the whole sample is divided into time intervals and is allowed for structural breaks). Finally, in order to address the problem of potential inconsistency of “typically used” estimators, the study employs Blundell and Bond's GMM system estimator. The main findings are the following. (1) The EU27 countries converged at the rate of about 5% per annum while the EU15 countries—at 3% p.a., which is an enormous difference as compared with the widely cited 2% rate of convergence. (2) The pure mechanism of conditional convergence of the countries under study was rather constant over time: there were periods of more rapid or slower convergence but the differences were not as huge as one could expect. (3) The considered economic growth determinants exhibited very mixed and differentiated impact on economic growth in various subperiods.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:ecmode:v:30:y:2013:i:c:p:322-333
    DOI: 10.1016/j.econmod.2012.08.031
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    3. Mariusz Prochniak & Bartosz Witkowski, 2016. "On The Use Of Panel Stationarity Tests In Convergence Analysis: Empirical Evidence For The Eu Countries," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(1), pages 77-96, March.
    4. Castillo-Manzano, José I. & Castro-Nuño, Mercedes & Pedregal, Diego J., 2014. "The trend towards convergence in road accident fatality rates in Europe: The contributions of non-economic variables," Transport Policy, Elsevier, vol. 35(C), pages 229-240.
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    8. Stavarek Daniel & Tomanova Lucie, 2014. "Is the region of Visegrad countries on the track to the euro area? Recent evidence from the real convergence perspective," Экономика региона, CyberLeninka;Федеральное государственное бюджетное учреждение науки «Институт экономики Уральского отделения Российской академии наук», issue 3, pages 130-139.
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    13. Valerija Botric, 2013. "Output Convergence between Western Balkans and EU-15," Research in Economics and Business: Central and Eastern Europe, Tallinn School of Economics and Business Administration, Tallinn University of Technology, vol. 5(1).
    14. Marcin Grela & Aleksandra Majchrowska & Tomasz Michałek & Jakub Mućk & Agnieszka Stążka-Gawrysiak & Grzegorz Tchorek & Marcin Wagner, 2017. "Is Central and Eastern Europe converging towards the EU-15?," NBP Working Papers 264, Narodowy Bank Polski, Economic Research Department.
    15. Piotr Białowolski & Tomasz Kuszewski & Bartosz Witkowski, 2014. "Bayesian averaging of classical estimates in forecasting macroeconomic indicators with application of business survey data," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 41(1), pages 53-68, February.
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    18. Ryszard Rapacki & Mariusz Próchniak, 2014. "The Impact of EU Membership on Economic Growth and Real Convergence of the Central and Eastern European Countries," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 39.

    More about this item

    Keywords

    Convergence; Economic growth; Growth factors; Bayesian averaging; EU countries;

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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