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Bayesian Model Averaging in the Studies on Economic Growth in the EU Regions – Application of the gretl BMA package

Author

Listed:
  • Błażejowski, Marcin
  • Gazda, Jakub
  • Kwiatkowski, Jacek

Abstract

Economic growth is again one of the most important economic issues in literature since the 1980s. This paper falls into the mainstream of regional studies on economic growth and it tries to answer the recurring question: what are the determinants of economic growth at regional level. The objective of this article is to diagnose the determinants of economic growth among European regions on the basis of Bayesian methods applied to gretl software.

Suggested Citation

  • Błażejowski, Marcin & Gazda, Jakub & Kwiatkowski, Jacek, 2016. "Bayesian Model Averaging in the Studies on Economic Growth in the EU Regions – Application of the gretl BMA package," MPRA Paper 89366, University Library of Munich, Germany, revised Oct 2016.
    • Handle: RePEc:pra:mprapa:89366
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    File URL: https://mpra.ub.uni-muenchen.de/89366/1/E%26S_9_4_Blazejowski_Gazda_Kwiatkowski.pdf
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    References listed on IDEAS

    as
    1. Błażejowski, Marcin & Kwiatkowski, Jacek, 2015. "Bayesian Model Averaging and Jointness Measures for gretl," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 68(i05).
    2. Albu, Lucian Liviu, 2006. "Trends in the Interest Rate - Investment - GDP Growth Relationship," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 3(3), pages 5-13, September.
    3. Fernandez, Carmen & Ley, Eduardo & Steel, Mark F. J., 2001. "Benchmark priors for Bayesian model averaging," Journal of Econometrics, Elsevier, vol. 100(2), pages 381-427, February.
    4. Murat CETIN & Ibrahim DOGAN, 2015. "The Impact Of Education And Health On Economic Growth: Evidence From Romania (1980-2011)," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 133-147, June.
    5. Albu, Lucian Liviu & Roudoi, Andrei, 2003. "Factors And Mechanisms Of Economic Growth In Transition Economies Of Different Types (Case Of Romania)," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 50-64, December.
    6. Kiliç, Cuneyt & Arica, Feyza, 2014. "Economic Freedom, Inflation Rate and their Impact on Economic Growth: A Panel Data Analysis," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 160-176, March.
    7. Mihaela Simionescu & Daniel Ciuiu & Yuriy Bilan & Wadim Strielkowski, 2016. "GDP and Net Migration in Some Eastern and South-Eastern Countries of Europe. A Panel Data and Bayesian Approach," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 12(2), pages 161-175.
    8. Albu, Lucian Liviu, 2013. "Foreign Trade and FDI as Main Factors of Growth in the EU," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 7-17, June.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Krzysztof Beck, 2017. "Bayesian Model Averaging And Jointness Measures: Theoretical Framework And Application To The Gravity Model Of Trade," Statistics in Transition New Series, Polish Statistical Association, vol. 18(3), pages 393-412, September.
    2. Magdalena Florek & Jakub Gazda, 2021. "Traditional Food Products—Between Place Marketing, Economic Importance and Sustainable Development," Sustainability, MDPI, vol. 13(3), pages 1-14, January.
    3. Sara D'Andrea, 2022. "Are there any robust determinants of growth in Europe? A Bayesian Model Averaging approach," International Economics, CEPII research center, issue 171, pages 143-173.
    4. Janus, Jakub, 2021. "The COVID-19 shock and long-term interest rates in emerging market economies," Finance Research Letters, Elsevier, vol. 43(C).
    5. Marcin Błażejowski & Jacek Kwiatkowski & Jakub Gazda, 2019. "Sources of Economic Growth: A Global Perspective," Sustainability, MDPI, vol. 11(1), pages 1-14, January.

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    More about this item

    Keywords

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    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: 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
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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