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The Dynamics of Inequality

Author

Listed:
  • Xavier Gabaix
  • Jean‐Michel Lasry
  • Pierre‐Louis Lions
  • Benjamin Moll

Abstract

The past forty years have seen a rapid rise in top income inequality in the United States. While there is a large number of existing theories of the Pareto tail of the long‐run income distributions, almost none of these address the fast rise in top inequality observed in the data. We show that standard theories, which build on a random growth mechanism, generate transition dynamics that are too slow relative to those observed in the data. We then suggest two parsimonious deviations from the canonical model that can explain such changes: “scale dependence” that may arise from changes in skill prices, and “type dependence,” that is, the presence of some “high‐growth types.” These deviations are consistent with theories in which the increase in top income inequality is driven by the rise of “superstar” entrepreneurs or managers.

Suggested Citation

  • Xavier Gabaix & Jean‐Michel Lasry & Pierre‐Louis Lions & Benjamin Moll, 2016. "The Dynamics of Inequality," Econometrica, Econometric Society, vol. 84, pages 2071-2111, November.
    • Handle: RePEc:wly:emetrp:v:84:y:2016:i::p:2071-2111
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    1. Malevergne, Y. & Saichev, A. & Sornette, D., 2013. "Zipf's law and maximum sustainable growth," Journal of Economic Dynamics and Control, Elsevier, vol. 37(6), pages 1195-1212.
    2. Fatih Guvenen & Fatih Karahan & Serdar Ozkan & Jae Song, 2015. "What Do Data on Millions of U.S. Workers Reveal about Life-Cycle Earnings Risk?," NBER Working Papers 20913, National Bureau of Economic Research, Inc.
    3. Shuhei Aoki & Makoto Nirei, 2014. "Zipf's Law, Pareto's Law, and the Evolution of Top Incomes in the U.S," Working Papers e074, Tokyo Center for Economic Research.
    4. Jason DeBacker & Bradley Heim & Vasia Panousi & Shanthi Ramnath & Ivan Vidangos, 2013. "Rising Inequality: Transitory or Persistent? New Evidence from a Panel of U.S. Tax Returns," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 46(1 (Spring), pages 67-142.
    5. Xavier Gabaix & Augustin Landier, 2008. "Why has CEO Pay Increased So Much?," The Quarterly Journal of Economics, Oxford University Press, vol. 123(1), pages 49-100.
    6. 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.
    7. Benhabib, Jess & Bisin, Alberto & Zhu, Shenghao, 2016. "The Distribution Of Wealth In The Blanchard–Yaari Model," Macroeconomic Dynamics, Cambridge University Press, vol. 20(2), pages 466-481, March.
    8. Jess Benhabib & Alberto Bisin & Shenghao Zhu, 2011. "The Distribution of Wealth and Fiscal Policy in Economies With Finitely Lived Agents," Econometrica, Econometric Society, vol. 79(1), pages 123-157, January.
    9. Fatih Guvenen & Greg Kaplan & Jae Song, 2014. "The Glass Ceiling and the Paper Floor: Gender Differences among Top Earners, 1981–2012," Working Papers 716, Federal Reserve Bank of Minneapolis.
    10. Marko Tervio, 2008. "The Difference That CEOs Make: An Assignment Model Approach," American Economic Review, American Economic Association, vol. 98(3), pages 642-668, June.
    11. Thomas Piketty & Gabriel Zucman, 2014. "Capital is Back: Wealth-Income Ratios in Rich Countries 1700–2010," The Quarterly Journal of Economics, Oxford University Press, vol. 129(3), pages 1255-1310.
    12. Wojciech Kopczuk, 2015. "What Do We Know about the Evolution of Top Wealth Shares in the United States?," Journal of Economic Perspectives, American Economic Association, vol. 29(1), pages 47-66, Winter.
    13. Piketty, Thomas & Zucman, Gabriel, 2014. "Wealth and Inheritance in the Long Run," CEPR Discussion Papers 10072, C.E.P.R. Discussion Papers.
    14. Charles I. Jones & Jihee Kim, 2018. "A Schumpeterian Model of Top Income Inequality," Journal of Political Economy, University of Chicago Press, vol. 126(5), pages 1785-1826.
    15. Francois Geerolf, 2015. "A Static and Microfounded Theory of Zipf's Law for Firms and of the Top Labor Income Distribution," 2015 Meeting Papers 516, Society for Economic Dynamics.
    16. Alexis Akira Toda & Kieran Walsh, 2015. "The Double Power Law in Consumption and Implications for Testing Euler Equations," Journal of Political Economy, University of Chicago Press, vol. 123(5), pages 1177-1200.
    17. Meghir, Costas & Pistaferri, Luigi, 2011. "Earnings, Consumption and Life Cycle Choices," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 9, pages 773-854, Elsevier.
    18. Saez, Emmanuel & Zucman, Gabriel, 2014. "Wealth Inequality in the United States since 1913: Evidence from Capitalized Income Tax Data," CEPR Discussion Papers 10227, C.E.P.R. Discussion Papers.
    19. Xavier Gabaix, 2009. "Power Laws in Economics and Finance," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 255-294, May.
    20. Jesse Bricker & Alice Henriques & Jacob Krimmel & John Sabelhaus, 2016. "Measuring Income and Wealth at the Top Using Administrative and Survey Data," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 47(1 (Spring), pages 261-331.
    21. Fatih Guvenen, 2007. "Learning Your Earning: Are Labor Income Shocks Really Very Persistent?," American Economic Review, American Economic Association, vol. 97(3), pages 687-712, June.
    22. Xavier Gabaix, 1999. "Zipf's Law for Cities: An Explanation," The Quarterly Journal of Economics, Oxford University Press, vol. 114(3), pages 739-767.
    23. Jess Benhabib & Alberto Bisin & Shenghao Zhu, 2014. "The Wealth Distribution in Bewley Models with Investment Risk," NBER Working Papers 20157, National Bureau of Economic Research, Inc.
    24. Nirei, Makoto, 2009. "Pareto Distributions in Economic Growth Models," IIR Working Paper 09-05, Institute of Innovation Research, Hitotsubashi University.
    25. Jason DeBacker & Bradley Heim & Vasia Panousi & Shanthi Ramnath & Ivan Vidangos, 2013. "Rising Inequality: Transitory or Persistent? New Evidence from a Panel of U.S. Tax Returns," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 44(1 (Spring), pages 67-142.
    26. Erzo G. J. Luttmer, 2012. "Slow convergence in economies with firm heterogeneity," Working Papers 696, Federal Reserve Bank of Minneapolis.
    27. Toda, Alexis Akira, 2012. "The double power law in income distribution: Explanations and evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 84(1), pages 364-381.
    28. Fatih Guvenen & Greg Kaplan & Jae Song, 2020. "The Glass Ceiling and the Paper Floor: Changing Gender Composition of Top Earners since the 1980s," NBER Chapters, in: NBER Macroeconomics Annual 2020, volume 35, pages 309-373, National Bureau of Economic Research, Inc.
    29. Fatih Guvenen & Fatih Karahan & Serdar Ozkan & Jae Song, 2015. "What Do Data on Millions of U.S. Workers Reveal about Life-Cycle Earnings Dynamics?," Staff Reports 710, Federal Reserve Bank of New York.
    30. Wojciech Kopczuk & Emmanuel Saez & Jae Song, 2010. "Earnings Inequality and Mobility in the United States: Evidence from Social Security Data Since 1937," The Quarterly Journal of Economics, Oxford University Press, vol. 125(1), pages 91-128.
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    More about this item

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity

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