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Power laws in EU country exports

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  • Ignacio Rosal

    (University of Oviedo)

Abstract

International trade flows are highly concentrated in the top units of analysis. In this paper, we study the size distribution of exports at the product level, using Comext data for the 28 EU countries over the period 2002–2014. We fit power law relationships running log rank–log size regressions. The estimated Pareto exponent may be interpreted as a single measure of the inequality between the top products; it thus constitutes an alternative to other measures of export diversification. The Pareto exponent estimates are quite stable for most EU countries between 2002 and 2014. However, some countries stand out for their increase or decrease in the Pareto exponent. Some preliminary evidence suggesting negative correlation between volatility in EU country exports and export diversification at the product level is also provided.

Suggested Citation

  • Ignacio Rosal, 2018. "Power laws in EU country exports," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 45(2), pages 311-337, May.
  • Handle: RePEc:kap:empiri:v:45:y:2018:i:2:d:10.1007_s10663-016-9362-2
    DOI: 10.1007/s10663-016-9362-2
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    1. Naudé, Wim & Cameron, Martin, 2020. "Export-Led Growth after COVID-19: The Case of Portugal," IZA Discussion Papers 13875, Institute of Labor Economics (IZA).

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    More about this item

    Keywords

    Power law distribution; Pareto exponent; EU exports; Comext data;
    All these keywords.

    JEL classification:

    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • F15 - International Economics - - Trade - - - Economic Integration
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Econometric and Statistical Methods; Specific Distributions

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