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Levels and Trends in United States Income and Its Distribution A Crosswalk from Market Income Towards a Comprehensive Haig-Simons Income Approach

Author

Listed:
  • Philip Armour
  • Richard V. Burkhauser
  • Jeff Larrimore

Abstract

Recent research on United States levels and trends in income inequality vary substantially in how they measure income. Piketty and Saez (2003) examine market income of tax units based on IRS tax return data, DeNavas-Walt, Proctor, and Smith (2012) and most CPS-based research uses pre-tax, post-transfer cash income of households, while the CBO (2012) uses both data sets and focuses on household size-adjusted comprehensive income of persons, including taxable realized capital gains. This paper provides a crosswalk of income growth across these common income measures using a unified data set. It then uses a more consistent Haig-Simons income definition approach to comprehensive income by incorporating yearly-accrued capital gains to measure yearly changes in wealth rather than focusing solely on the realized taxable capital gains that appear in IRS tax return data. Doing so dramatically reduces the observed growth in income inequality across the distribution, but most especially the rise in top-end income since 1989.

Suggested Citation

  • Philip Armour & Richard V. Burkhauser & Jeff Larrimore, 2013. "Levels and Trends in United States Income and Its Distribution A Crosswalk from Market Income Towards a Comprehensive Haig-Simons Income Approach," NBER Working Papers 19110, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:19110
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Timothy Smeeding & Jeffrey P. Thompson, 2013. "Inequality and poverty in the United States: the aftermath of the Great Recession," Finance and Economics Discussion Series 2013-51, Board of Governors of the Federal Reserve System (U.S.).
    2. Kitov, Ivan & Kitov, Oleg, 2015. "Gender income disparity in the USA: analysis and dynamic modelling," MPRA Paper 67146, University Library of Munich, Germany.
    3. Maurizio Franzini & Mario Pianta, 2015. "Four engines of inequality," LEM Papers Series 2015/20, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Richard Burkhauser & Markus Hahn & Roger Wilkins, 2015. "Measuring top incomes using tax record data: a cautionary tale from Australia," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 13(2), pages 181-205, June.
    5. Andrew Kliman, 2015. "The Great Recession and Marx's Crisis Theory," American Journal of Economics and Sociology, Wiley Blackwell, vol. 74(2), pages 236-277, March.
    6. Edward Harris & Frank Sammartino, 2014. "Trends in the Distribution of Household Income, 1979–2010," NBER Chapters, in: Measuring Economic Sustainability and Progress, pages 181-211, National Bureau of Economic Research, Inc.
    7. Maurizio Franzini & Mario Pianta, 2015. "The making of inequality.Capital, labour and the distribution of income," Working Papers 1507, University of Urbino Carlo Bo, Department of Economics, Society & Politics - Scientific Committee - L. Stefanini & G. Travaglini, revised 2015.
    8. Jeff Larrimore & Richard V. Burkhauser & Gerald Auten & Philip Armour, 2016. "Recent Trends in U.S. Top Income Shares in Tax Record Data Using More Comprehensive Measures of Income Including Accrued Capital Gains," NBER Working Papers 23007, National Bureau of Economic Research, Inc.

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    More about this item

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • H24 - Public Economics - - Taxation, Subsidies, and Revenue - - - Personal Income and Other Nonbusiness Taxes and Subsidies
    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs

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