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Improving the Measure of the Distribution of Personal Income

Author

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  • Dennis Fixler
  • Marina Gindelsky
  • David Johnson

Abstract

Developing a national account-based measure of the distribution of income from the commonly used census-based concept of money income has been the subject of earlier research. We use publicly available survey and administrative data to construct a distribution of personal income after enhancing the top income distribution in the Current Population Survey (2007 and 2012). We show that inequality measures are fairly sensitive to the definition of income contemporaneously and across time. This work helps bridge the gap between micro data and macro statistics and informs about results from other studies, such as Piketty et al. (2018).

Suggested Citation

  • Dennis Fixler & Marina Gindelsky & David Johnson, 2019. "Improving the Measure of the Distribution of Personal Income," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 302-306, May.
    • Handle: RePEc:aea:apandp:v:109:y:2019:p:302-06
    Note: DOI: 10.1257/pandp.20191037
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    References listed on IDEAS

    as
    1. Dennis Fixler & Marina Gindelsky & David Johnson, 2019. "Improving the Measure of the Distribution of Personal Income," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 302-306, May.
    2. Thomas Piketty & Emmanuel Saez & Gabriel Zucman, 2018. "Distributional National Accounts: Methods and Estimates for the United States," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(2), pages 553-609.
    3. Stephen P. Jenkins, 2017. "Pareto Models, Top Incomes and Recent Trends in UK Income Inequality," Economica, London School of Economics and Political Science, vol. 84(334), pages 261-289, April.
    4. Facundo Alvaredo & Lucas Chancel & Thomas Piketty & Gabriel Zucman, 2018. "Distributional National Accounts," Post-Print halshs-03342488, HAL.
    5. Dennis Fixler & David S. Johnson, 2014. "Accounting for the Distribution of Income in the U.S. National Accounts," NBER Chapters, in: Measuring Economic Sustainability and Progress, pages 213-244, National Bureau of Economic Research, Inc.
    6. Christopher R. Bollinger & Barry T. Hirsch & Charles M. Hokayem & James P. Ziliak, 2019. "Trouble in the Tails? What We Know about Earnings Nonresponse 30 Years after Lillard, Smith, and Welch," Journal of Political Economy, University of Chicago Press, vol. 127(5), pages 2143-2185.
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    Cited by:

    1. Dennis Fixler & Marina Gindelsky & David Johnson, 2019. "Improving the Measure of the Distribution of Personal Income," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 302-306, May.
    2. Süssmuth, Bernd & Wieschemeyer, Matthias, 2022. "Taxation and the distributional impact of inflation: The U.S. post-war experience," Economic Modelling, Elsevier, vol. 111(C).
    3. Wojciech Kopczuk & Eric Zwick, 2020. "Business Incomes at the Top," Journal of Economic Perspectives, American Economic Association, vol. 34(4), pages 27-51, Fall.
    4. Dennis Fixler & Marina Gindelsky & David S. Johnson, 2020. "Distributing Personal Income: Trends over Time," NBER Chapters, in: Measuring Distribution and Mobility of Income and Wealth, pages 589-603, National Bureau of Economic Research, Inc.
    5. Dennis Fixler & Marina Gindelsky & David Johnson, 2020. "Measuring Inequality in the National Accounts," BEA Working Papers 0175, Bureau of Economic Analysis.
    6. Marina Gindelsky, 2022. "Do transfers lower inequality between households? Demographic evidence from Distributional National Accounts," Economic Inquiry, Western Economic Association International, vol. 60(3), pages 1233-1257, July.
    7. Mark C. Long, 2022. "Seattle's local minimum wage and earnings inequality," Economic Inquiry, Western Economic Association International, vol. 60(2), pages 528-542, April.
    8. Stephen P. Jenkins, 2022. "Top-income adjustments and official statistics on income distribution: the case of the UK," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(1), pages 151-168, March.
    9. Jagjit S. Chadha & Richard Barwell, 2019. "Renewing our Monetary Vows: Open Letters to the Governor of the Bank of England," National Institute of Economic and Social Research (NIESR) Occasional Papers 58, National Institute of Economic and Social Research.

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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
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts

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