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A tale of two Ginis in the US, 1921–2012

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  • Markus P. A. Schneider
  • Daniele Tavani

Abstract

Following a methodology by Jantzen and Volpert (2012), we use IRS Adjusted Gross Income data for the US (1921–2012) to estimate two Gini-like indices representing inequality at the bottom and the top of the income distribution, and to calculate the overall Gini as a function of the parameters underlying the two indices. A steady increase in the overall Gini since the Second World War actually hides two different periods of distributional changes. First, the increase in inequality from the mid 1940s to the late 1970s is driven by rising inequality at the bottom of the income distribution that more than offsets a decrease in inequality at the top. The implication is that middle-income earners gained relative to high-incomes, and especially relative to low-income earners. Second, the rise in the Gini after 1981 is driven by rising inequality at the top. Third, top-driven inequality follows a U-shaped trajectory consistent with Piketty and Saez (2003, 2006). Fourth, the welfare effects of the different distributional changes behind increasing inequality can be evaluated in light of the Lorenz-dominance criterion by Atkinson (1970): we argue that the rise in inequality since 1981 is much more likely to be associated with a social welfare loss net of compensating growth.

Suggested Citation

  • Markus P. A. Schneider & Daniele Tavani, 2016. "A tale of two Ginis in the US, 1921–2012," International Review of Applied Economics, Taylor & Francis Journals, vol. 30(6), pages 677-692, November.
  • Handle: RePEc:taf:irapec:v:30:y:2016:i:6:p:677-692
    DOI: 10.1080/02692171.2016.1173654
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    References listed on IDEAS

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    1. Sarah Voitchovsky, 2005. "Does the Profile of Income Inequality Matter for Economic Growth?," Journal of Economic Growth, Springer, vol. 10(3), pages 273-296, September.
    2. Sarabia, J. -M. & Castillo, Enrique & Slottje, Daniel J., 1999. "An ordered family of Lorenz curves," Journal of Econometrics, Elsevier, vol. 91(1), pages 43-60, July.
    3. 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.
    4. Thomas Piketty & Emmanuel Saez, 2003. "Income Inequality in the United States, 1913–1998," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(1), pages 1-41.
    5. Thomas Piketty & Emmanuel Saez, 2006. "The Evolution of Top Incomes: A Historical and International Perspective," American Economic Review, American Economic Association, vol. 96(2), pages 200-205, May.
    6. Markus Schneider, 2013. "Illustrating the Implications of How Inequality is Measured: Decomposing Earnings Inequality by Race and Gender," Journal of Labor Research, Springer, vol. 34(4), pages 476-514, December.
    7. David Dollar & Tatjana Kleineberg & Aart Kraay, 2015. "Growth, inequality and social welfare: cross-country evidence," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 30(82), pages 335-377.
    8. Bishop, John A & Formby, John P & Smith, W James, 1991. "Lorenz Dominance and Welfare: Changes in the U.S. Distribution of Income, 1967-1986," The Review of Economics and Statistics, MIT Press, vol. 73(1), pages 134-139, February.
    9. repec:bla:econom:v:50:y:1983:i:197:p:3-17 is not listed on IDEAS
    10. Atkinson, Anthony B., 1970. "On the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 2(3), pages 244-263, September.
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    2. Ansel Schiavone, 2020. "Essentially Unemployed: Potential Implications of the COVID-19 Crisis on Wage Inequality," Working Paper Series, Department of Economics, University of Utah 2020_06, University of Utah, Department of Economics.

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