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Volatility in European Regions

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  • Irene Brunetti
  • Davide Fiaschi
  • Lisa Gianmoena
  • Angela Parenti

Abstract

is paper examines the growth rate volatility of per capita GDP of European regions in 1992-2008. We measure the regional volatility using a new methodology based onMarkov matrices and we investigate its main determinants. Volatility displays a geographical pattern and a significant spatial dependence. Output composition appears one of the main driver of volatility; among the other determinants we find a negative impact of the size of regional economies and of the flexibility of labour market, and a positive impact of the sectoral concentration, of the financialization of economy, and of the participation to EMU.

Suggested Citation

  • Irene Brunetti & Davide Fiaschi & Lisa Gianmoena & Angela Parenti, 2015. "Volatility in European Regions," Discussion Papers 2015/201, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    • Handle: RePEc:pie:dsedps:2015/201
    Note: ISSN 2039-1854
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    Cited by:

    1. Irene Brunetti & Davide Fiaschi & Lisa Gianmoena & Angela Parenti, 2017. "Volatility in European regions," Papers in Regional Science, Wiley Blackwell, vol. 96(4), pages 697-720, November.
    2. Davide Fiaschi & Andrea Mario Lavezzi & Angela Parenti, 2018. "Does EU cohesion policy work? Theory and evidence," Journal of Regional Science, Wiley Blackwell, vol. 58(2), pages 386-423, March.
    3. Lisa Gianmoena & Vicente Rios, 2018. "The Determinants of Resilience in European Regions During the Great Recession: a Bayesian Model Averaging Approach," Discussion Papers 2018/235, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    4. KYDROS Dimitrios & FILENTA Pagona, 2022. "Literature Review of Economic and Regional Development through Quantitative Methods and Social Network Analysis," European Journal of Interdisciplinary Studies, Bucharest Economic Academy, issue 01, March.

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    More about this item

    Keywords

    Markov Matrix; Asymmetric Fluctuations; Output Com-position; Size Effect; Spatial Dependence.;
    All these keywords.

    JEL classification:

    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

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