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Are your data really Pareto distributed?

Author

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  • Cirillo, Pasquale

Abstract

Pareto distributions, and power laws in general, have demonstrated to be very useful models to describe very different phenomena, from physics to finance. In recent years, the econophysical literature has proposed a large amount of papers and models justifying the presence of power laws in economic data.

Suggested Citation

  • Cirillo, Pasquale, 2013. "Are your data really Pareto distributed?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(23), pages 5947-5962.
    • Handle: RePEc:eee:phsmap:v:392:y:2013:i:23:p:5947-5962
    DOI: 10.1016/j.physa.2013.07.061
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    References listed on IDEAS

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    1. 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.
    2. Cirillo, Pasquale & Hüsler, Jürg, 2009. "On the upper tail of Italian firms’ size distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(8), pages 1546-1554.
    3. Ghosh, Souvik & Resnick, Sidney, 2010. "A discussion on mean excess plots," Stochastic Processes and their Applications, Elsevier, vol. 120(8), pages 1492-1517, August.
    4. Xavier Gabaix, 2009. "Power Laws in Economics and Finance," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 255-294, May.
    5. 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.
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    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
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    Cited by:

    1. Richard Bluhm & Melanie Krause, 2018. "Top Lights - Bright Cities and their Contribution to Economic Development," CESifo Working Paper Series 7411, CESifo Group Munich.
    2. Serinaldi, Francesco & Kilsby, Chris G., 2016. "Irreversibility and complex network behavior of stream flow fluctuations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 450(C), pages 585-600.
    3. repec:eee:insuma:v:78:y:2018:i:c:p:13-29 is not listed on IDEAS
    4. Stegehuis, Clara & Litvak, Nelly & Waltman, Ludo, 2015. "Predicting the long-term citation impact of recent publications," Journal of Informetrics, Elsevier, vol. 9(3), pages 642-657.
    5. Stephen P. Jenkins, 2017. "Pareto Models, Top Incomes and Recent Trends in UK Income Inequality," Economica, London School of Economics and Political Science, vol. 84(334), pages 261-289, April.
    6. repec:bla:econom:v:84:y:2017:i:334:p:129-156 is not listed on IDEAS
    7. repec:eee:phsmap:v:512:y:2018:i:c:p:1-13 is not listed on IDEAS
    8. repec:eee:phsmap:v:502:y:2018:i:c:p:256-269 is not listed on IDEAS
    9. Bessi, Alessandro, 2017. "On the statistical properties of viral misinformation in online social media," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 459-470.
    10. Cirillo, Pasquale & Taleb, Nassim Nicholas, 2016. "On the statistical properties and tail risk of violent conflicts," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 452(C), pages 29-45.
    11. Ravaska Terhi, 2018. "Top incomes and income dynamics from a gender perspective : Evidence from Finland 1995-2012," Working Papers 1822, University of Tampere, School of Management, Economics.
    12. Krause, Melanie & Bluhm, Richard, 2016. "Top Lights - Bright Spots and their Contribution to Economic Development," Annual Conference 2016 (Augsburg): Demographic Change 145773, Verein für Socialpolitik / German Economic Association.
    13. repec:spr:empeco:v:53:y:2017:i:3:d:10.1007_s00181-016-1147-8 is not listed on IDEAS
    14. A. B. Atkinson, 2017. "Pareto and the Upper Tail of the Income Distribution in the UK: 1799 to the Present," Economica, London School of Economics and Political Science, vol. 84(334), pages 129-156, April.
    15. Ramos, Arturo, 2015. "Are the log-growth rates of city sizes normally distributed? Empirical evidence for the US," MPRA Paper 65584, University Library of Munich, Germany.
    16. Ramos, Arturo & Sanz-Gracia, Fernando, 2015. "US city size distribution revisited: Theory and empirical evidence," MPRA Paper 64051, University Library of Munich, Germany.
    17. repec:eee:phsmap:v:509:y:2018:i:c:p:169-180 is not listed on IDEAS

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