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Empresas granulares y desagregación regional: un análisis del caso español
[Granular firms and regional disaggregation: an analysis of the Spanish case]

Author

Listed:
  • Blanco-Arroyo, Omar
  • Ruiz-Buforn, Alba
  • Vidal-Tomás, David
  • Alfarano, Simone

Abstract

Following the approach proposed by Gabaix (2011), this paper aims to assess the existence of granularity in the business cycle fluctuations of the following Spanish regions: the Community of Madrid, Catalonia, the Basque Country and the Valencian Community. Granular firms are those that represent a marginal proportion of the total number of firms in an economy, but nevertheless have a significant impact on fluctuations in the GDP growth rate. We find that the Basque Country and the Valencian Community are granular economies. The Community of Madrid and Catalonia, however, do not show granular behaviour. Therefore, our work provides evidence of granular behaviour at the regional level.

Suggested Citation

  • Blanco-Arroyo, Omar & Ruiz-Buforn, Alba & Vidal-Tomás, David & Alfarano, Simone, 2019. "Empresas granulares y desagregación regional: un análisis del caso español [Granular firms and regional disaggregation: an analysis of the Spanish case]," MPRA Paper 93913, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:93913
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    File URL: https://mpra.ub.uni-muenchen.de/93913/1/MPRA_paper_93913.pdf
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    References listed on IDEAS

    as
    1. Vasco M. Carvalho & Basile Grassi, 2019. "Large Firm Dynamics and the Business Cycle," American Economic Review, American Economic Association, vol. 109(4), pages 1375-1425, April.
    2. Mantegna,Rosario N. & Stanley,H. Eugene, 2007. "Introduction to Econophysics," Cambridge Books, Cambridge University Press, number 9780521039871, October.
    3. Xavier Gabaix, 2009. "Power Laws in Economics and Finance," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 255-294, May.
    4. Xavier Gabaix, 2011. "The Granular Origins of Aggregate Fluctuations," Econometrica, Econometric Society, vol. 79(3), pages 733-772, May.
    5. Thomas Lux & Michele Marchesi, 1999. "Scaling and criticality in a stochastic multi-agent model of a financial market," Nature, Nature, vol. 397(6719), pages 498-500, February.
    6. Lucas, Robert E, Jr, 1973. "Some International Evidence on Output-Inflation Tradeoffs," American Economic Review, American Economic Association, vol. 63(3), pages 326-334, June.
    7. Gabaix, Xavier & Ibragimov, Rustam, 2011. "Rank − 1 / 2: A Simple Way to Improve the OLS Estimation of Tail Exponents," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 24-39.
    8. Lucas, Robert E, Jr, 1975. "An Equilibrium Model of the Business Cycle," Journal of Political Economy, University of Chicago Press, vol. 83(6), pages 1113-1144, December.
    9. Blanco-Arroyo, Omar & Ruiz-Buforn, Alba & Vidal-Tomás, David & Alfarano, Simone, 2018. "On the determination of the granular size of the economy," Economics Letters, Elsevier, vol. 173(C), pages 35-38.
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    11. Xavier Gabaix & Rustam Ibragimov, 2011. "Rank - 1 / 2: A Simple Way to Improve the OLS Estimation of Tail Exponents," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(1), pages 24-39, January.
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    More about this item

    Keywords

    granularity; granular firms; idiosyncratic shocks; aggregate fluctuations; regions;
    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

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