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Income and wealth distribution of the richest Norwegian individuals: An inequality analysis

Author

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  • Jagielski, Maciej
  • Czyżewski, Kordian
  • Kutner, Ryszard
  • Stanley, H. Eugene

Abstract

Using the empirical data from the Norwegian Tax Administration, we analyze the wealth and income of the richest individuals in Norway during the period 2010–2013. We find that both annual income and wealth level of the richest individuals are describable using the Pareto law. We find that the robust mean Pareto exponent over the four-year period to be ≈2.3 for income and ≈1.5 for wealth.

Suggested Citation

  • Jagielski, Maciej & Czyżewski, Kordian & Kutner, Ryszard & Stanley, H. Eugene, 2017. "Income and wealth distribution of the richest Norwegian individuals: An inequality analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 474(C), pages 330-333.
    • Handle: RePEc:eee:phsmap:v:474:y:2017:i:c:p:330-333
    DOI: 10.1016/j.physa.2017.01.077
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    References listed on IDEAS

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    1. Anthony Atkinson & Thomas Piketty, 2010. "Top Incomes : A Global Perspective," PSE-Ecole d'économie de Paris (Postprint) halshs-00754875, HAL.
    2. Atkinson, A. B. & Piketty, Thomas (ed.), 2010. "Top Incomes: A Global Perspective," OUP Catalogue, Oxford University Press, number 9780199286898, Decembrie.
    3. Kyungsik Kim & Seong-Min Yoon, 2004. "Power Law Distributions in Korean Household Incomes," Papers cond-mat/0403161, arXiv.org.
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    Citations

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    Cited by:

    1. Safari, Muhammad Aslam Mohd & Masseran, Nurulkamal & Ibrahim, Kamarulzaman & AL-Dhurafi, Nasr Ahmed, 2020. "The power-law distribution for the income of poor households," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).
    2. Wildauer, Rafael & Heck, Ines & Kapeller, Jakob, 2023. "Was Pareto right? Is the distribution of wealth thick-tailed?," Greenwich Papers in Political Economy 38597, University of Greenwich, Greenwich Political Economy Research Centre.
    3. Safari, Muhammad Aslam Mohd & Masseran, Nurulkamal & Ibrahim, Kamarulzaman, 2018. "A robust semi-parametric approach for measuring income inequality in Malaysia," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 1-13.
    4. Tomaschitz, Roman, 2020. "Multiply broken power-law densities as survival functions: An alternative to Pareto and lognormal fits," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    5. Sitthiyot, Thitithep & Budsaratragoon, Pornanong & Holasut, Kanyarat, 2020. "A scaling perspective on the distribution of executive compensation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 543(C).
    6. Safari, Muhammad Aslam Mohd & Masseran, Nurulkamal & Ibrahim, Kamarulzaman, 2018. "Optimal threshold for Pareto tail modelling in the presence of outliers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 169-180.
    7. Tao, Yong, 2021. "Boltzmann-like income distribution in low and middle income classes: Evidence from the United Kingdom," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 578(C).

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