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On The Use Of Panel Stationarity Tests In Convergence Analysis: Empirical Evidence For The Eu Countries

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  • 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 towards the EU28 average per capita income level and the pair-wise convergence between the GDP of individual countries are both 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 as widespread as the cross-sectional studies on b or s 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, 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.
    • Handle: RePEc:pes:ierequ:v:11:y:2016:i:1:p:77-96
    DOI: 10.12775/EQUIL.2016.004
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    Cited by:

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    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 Pipień & Sylwia Roszkowska, 2019. "The heterogeneity of convergence in transition countries," Post-Communist Economies, Taylor & Francis Journals, vol. 31(1), pages 75-105, January.
    4. Mateusz Tomal, 2022. "Testing for overall and cluster convergence of housing rents using robust methodology: evidence from Polish provincial capitals," Empirical Economics, Springer, vol. 62(4), pages 2023-2055, April.
    5. 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.

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    More about this item

    Keywords

    economic growth; convergence; catching up; stationarity; ADF test;
    All these keywords.

    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

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