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The application of Bayesian model averaging in assessing the impact of the regulatory framework on economic growth

Author

Listed:
  • Mariusz Próchniak

    (Warsaw School of Economics, Warszawa, Poland)

  • Bartosz Witkowski

    (Warsaw School of Economics, Warszawa, Poland)

Abstract

The paper aims to assess the impact of regulations (measured by the Fraser Institute index of economic freedom) on economic growth in the world as well as in EU and post-socialist countries. The method of the analysis is based on growth regressions where economic freedom is included in the set of explanatory variables, along with some other control factors. The dependent variable is gross domestic product per capita growth rate. In order to be robust to the selection of explanatory variables, the paper uses Bayesian model pooling applied to Blundell and Bond's generalized method of moments system estimator. Other contributions are: the use of ‘overlapping’ panel data in which subsequent observations cover observations from partly overlapping periods and the inclusion of nonlinearities. The results show that the level of and the change in economic freedom both reveal a positive and nonlinear relationship with economic growth. The same applies to most of the component indicators.

Suggested Citation

  • Mariusz Próchniak & Bartosz Witkowski, 2014. "The application of Bayesian model averaging in assessing the impact of the regulatory framework on economic growth," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 14(1-2), pages 159-180, December.
    • Handle: RePEc:bic:journl:v:14:y:2014:i:1-2:p:159-180
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    File URL: http://www.tandfonline.com/doi/pdf/10.1080/1406099X.2014.997093
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    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. Katarzyna Anna BARAN, 2020. "The Impact of Macroeconomic and Institutional Factors on Economic Growth in the CEE-4 Countries," Journal of Economics and Financial Analysis, Tripal Publishing House, vol. 4(2), pages 1-26.
    3. Dejan Zivkov & Slavica Manic & Jasmina Duraskovic & Jelena Kovacevic, 2019. "Bidirectional Nexus between Inflation and Inflation Uncertainty in the Asian Emerging Markets – The GARCH-in-Mean Approach," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 69(6), pages 580-599, December.
    4. Beck Krzysztof, 2017. "Bayesian Model Averaging and Jointness Measures: Theoretical Framework and Application to the Gravity Model of Trade," Statistics in Transition New Series, Statistics Poland, vol. 18(3), pages 393-412, September.

    More about this item

    Keywords

    Bayesian averaging; economic freedom; economic growth; institutions; regulations;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • O43 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Institutions and Growth

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