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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
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    Cited by:

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    2. 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.
    3. 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.
    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. 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.
    6. 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.

    More about this item

    Keywords

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    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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