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Measuring Plutonomy Intensity Under Data Deprivation: An Axiomatic Index

Author

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  • Paul Makdissi

    (Department of Economics, University of Ottawa, Canada)

  • Myra Yazbeck

    (Department of Economics, University of Ottawa, Canada)

Abstract

Measuring top-income inequality typically requires household surveys merged with tax records, or Pareto tails fitted to survey data, resources unavailable across much of the developing world. In this note, we propose a simple plutonomy intensity index estimable from alternative sources. Three axioms, within-group irrelevance, joint income scaling invariance, and plutocratic income monotonicity, characterize the class of indices ranking distributions exactly as the plutocrat-to-ordinary mean income ratio does. The index also satisfies anonymity, population invariance, and a restricted transfer principle. We illustrate its use in the Arab region, approximating it using the Forbes Billionaires List and World Bank macroeconomic data.

Suggested Citation

  • Paul Makdissi & Myra Yazbeck, 2026. "Measuring Plutonomy Intensity Under Data Deprivation: An Axiomatic Index," Working Papers 2607E, University of Ottawa, Department of Economics.
  • Handle: RePEc:ott:wpaper:2607e
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    File URL: http://hdl.handle.net/10393/52022
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    References listed on IDEAS

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    1. Anthony B. Atkinson & Thomas Piketty & Emmanuel Saez, 2011. "Top Incomes in the Long Run of History," Journal of Economic Literature, American Economic Association, vol. 49(1), pages 3-71, March.
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    3. Atamanov,Aziz & Tandon,Sharad Alan & Lopez-Acevedo,Gladys C. & Vergara Bahena,Mexico Alberto, 2020. "Measuring Monetary Poverty in the Middle East and North Africa (MENA) Region : Data Gaps and Different Options to Address Them," Policy Research Working Paper Series 9259, The World Bank.
    4. Rabah Arezki & Daniel Lederman & Amani Abou Harb & Nelly El-Mallakh & Rachel Yuting Fan & Asif Islam & Ha Nguyen & Marwane Zouaidi, 2020. "Middle East and North Africa Economic Update, April 2020," World Bank Publications - Reports 33475, The World Bank Group.
    5. Paul Makdissi & Walid Marrouch & Myra Yazbeck, 2025. "Monitoring Poverty in a Data‐Deprived Environment: The Case of Lebanon," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 71(1), February.
    6. Arezki,Rabah & Senbet,Lemma W., 2020. "Transforming Finance in the Middle East and North Africa," Policy Research Working Paper Series 9301, The World Bank.
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    JEL classification:

    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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