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Survey under-coverage of top incomes and estimation of inequality: what is the role of the UK’s SPI adjustment?

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  • Burkhauser, Richard V.
  • Hérault, Nicolas
  • Jenkins, Stephen P.
  • Wilkins, Roger

Abstract

Survey under-coverage of top incomes leads to bias in survey-based estimates of overall income inequality. Using income tax record data in combination with survey data is a potential approach to address the problem; we consider here the UK’s pioneering ‘SPI adjustment’ method that implements this idea. Since 1992, the principal income distribution series (reported annually in Households Below Average Income) has been based on household survey data in which the incomes of a small number of ‘very rich’ individuals are adjusted using information from ‘very rich’ individuals in personal income tax return data. We explain what the procedure involves, reveal the extent to which it addresses survey under-coverage of top incomes, and show how it affects estimates of overall income inequality. More generally, we assess whether the SPI adjustment is fit for purpose and consider whether variants of it could be employed by other countries.

Suggested Citation

  • Burkhauser, Richard V. & Hérault, Nicolas & Jenkins, Stephen P. & Wilkins, Roger, 2018. "Survey under-coverage of top incomes and estimation of inequality: what is the role of the UK’s SPI adjustment?," LSE Research Online Documents on Economics 84038, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:84038
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    1. Mike Brewer & Liam Wren-Lewis, 2016. "Accounting for Changes in Income Inequality: Decomposition Analyses for the UK, 1978–2008," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(3), pages 289-322, June.
    2. Richard Burkhauser & Shuaizhang Feng & Stephen Jenkins & Jeff Larrimore, 2009. "Recent Trends in Top Income Shares in the USA: Reconciling Estimates from March CPS and IRS Tax Return Data," Working Papers 09-26, Center for Economic Studies, U.S. Census Bureau.
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    5. Richard V. Burkhauser & Nicolas Hérault & Stephen P. Jenkins & Roger Wilkins, 2016. "What has Been Happening to UK Income Inequality Since the Mid-1990s? Answers from Reconciled and Combined Household Survey and Tax Return Data," NBER Working Papers 21991, National Bureau of Economic Research, Inc.
    6. Chris Belfield & Richard Blundell & Jonathan Cribb & Andrew Hood & Robert Joyce, 2017. "Two Decades of Income Inequality in Britain: The Role of Wages, Household Earnings and Redistribution," Economica, London School of Economics and Political Science, vol. 84(334), pages 157-179, April.
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    9. Richard V. Burkhauser & Shuaizhang Feng & Stephen P. Jenkins & Jeff Larrimore, 2012. "Recent Trends in Top Income Shares in the United States: Reconciling Estimates from March CPS and IRS Tax Return Data," The Review of Economics and Statistics, MIT Press, vol. 94(2), pages 371-388, May.
    10. Nicolas Ruiz & Nicolas Woloszko, 2016. "What do household surveys suggest about the top 1% incomes and inequality in OECD countries?," OECD Economics Department Working Papers 1265, OECD Publishing.
    11. Stefan Bach & Giacomo Corneo & Viktor Steiner, 2009. "From Bottom To Top: The Entire Income Distribution In Germany, 1992–2003," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(2), pages 303-330, June.
    12. 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.
    13. Andreas Alfons & Matthias Templ & Peter Filzmoser, 2013. "Robust estimation of economic indicators from survey samples based on Pareto tail modelling," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 62(2), pages 271-286, March.
    14. Richard V. Burkhauser & Markus H. Hahn & Roger Wilkins, 2016. "Top Incomes and Inequality in Australia: Reconciling Recent Estimates from Household Survey and Tax Return Data," Melbourne Institute Working Paper Series wp2016n19, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    15. repec:hal:pseose:halshs-01313784 is not listed on IDEAS
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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Survey Under-Coverage of Top Incomes and Estimation of Inequality: What Is the Role of the UK’s SPI Adjustment?
      by maximorossi in NEP-LTV blog on 2018-04-09 18:33:55
    2. Survey Under-Coverage of Top Incomes and Estimation of Inequality: What is the Role of the UK’s SPI Adjustment?
      by maximorossi in NEP-LTV blog on 2017-08-11 17:42:47

    Citations

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    Cited by:

    1. Dominic Webber & Richard Tonkin & Martin Shine, 2020. "Using Tax Data to Better Capture Top Incomes in Official UK Income Inequality Statistics," NBER Chapters, in: Measuring Distribution and Mobility of Income and Wealth, pages 679-700, National Bureau of Economic Research, Inc.
    2. Justin van de Ven & Nicolas Hérault, 2019. "The evolution of tax implicit value judgements, redistribution and income inequality in the UK: 1968 to 2015," Working Papers 498, ECINEQ, Society for the Study of Economic Inequality.
    3. Franzini, Maurizio & Raitano, Michele, 2019. "Earnings inequality and workers’ skills in Italy," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 215-224.
    4. Richard V. Burkhauser & Nicolas Herault & Stephen P. Jenkins & Roger Wilkins, 2020. "What accounts for the rising share of women in the top 1\%?," Working Papers 544, ECINEQ, Society for the Study of Economic Inequality.
    5. Advani, Arun & Koenig, Felix & Pessina, Lorenzo & Summers, Andy, 2020. "Importing Inequality: Immigration and the Top 1 Percent," IZA Discussion Papers 13731, Institute of Labor Economics (IZA).
    6. Zachary Parolin, 2019. "The Effect of Benefit Underreporting on Estimates of Poverty in the United States," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(2), pages 869-898, July.
    7. Peter Levell & Barra Roantree & Jonathan Shaw, 2021. "Mobility and the lifetime distributional impact of tax and transfer reforms," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 28(4), pages 751-793, August.
    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. Nishant Yonzan & Branko Milanovic & Salvatore Morelli & Janet Gornick, 2022. "Drawing a Line: Comparing the Estimation of Top Incomes between Tax Data and Household Survey Data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(1), pages 67-95, March.
    10. Advani, Arun, 2021. "Missing Incomes in the UK : Evidence and Policy Implications," The Warwick Economics Research Paper Series (TWERPS) 1364, University of Warwick, Department of Economics.
    11. Burdín, Gabriel & De Rosa, Mauricio & Vigorito, Andrea & Vilá, Joan, 2022. "Falling inequality and the growing capital income share: Reconciling divergent trends in survey and tax data," World Development, Elsevier, vol. 152(C).
    12. Branko Milanovic, 2022. "After the Financial Crisis: The Evolution of the Global Income Distribution Between 2008 and 2013," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(1), pages 43-73, March.
    13. Thomas Blanchet & Ignacio Flores & Marc Morgan, 2022. "The weight of the rich: improving surveys using tax data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(1), pages 119-150, March.
    14. Pablo Gutiérrez Cubillos, 2022. "Gini and undercoverage at the upper tail: a simple approximation," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 29(2), pages 443-471, April.
    15. Richard V. Burkhauser & Nicolas Herault & Stephen P. Jenkins & Roger Wilkins, 2023. "What Accounts for the Rising Share of Women in the Top 1 percent?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 69(1), pages 1-33, March.
    16. Nora Lustig, 2020. "The ``missing rich'' in household surveys: causes and correction approaches," Working Papers 520, ECINEQ, Society for the Study of Economic Inequality.
    17. Tahnee Christelle Ooms, 2021. "Correcting the Underestimation of Capital Incomes in Inequality Indicators: with an Application to the UK, 1997–2016," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(3), pages 929-953, October.
    18. Bartels, Charlotte & Waldenström, Daniel, 2021. "Inequality and top incomes," GLO Discussion Paper Series 959, Global Labor Organization (GLO).
    19. Nora Lustig, 2019. "The “Missing Rich” in Household Surveys: Causes and Correction Approaches," Commitment to Equity (CEQ) Working Paper Series 75, Tulane University, Department of Economics.
    20. Jenkins, Stephen P., 2022. "Getting the Measure of Inequality," IZA Discussion Papers 14996, Institute of Labor Economics (IZA).
    21. Richard Tonkin & Sean White & Sofiya Stoyanova & Aly Youssef & Sunny Valentineo Sidhu & Chris Payne, 2020. "Developing Indicators of Inequality and Poverty Consistent with National Accounts," NBER Chapters, in: Measuring Distribution and Mobility of Income and Wealth, pages 605-624, National Bureau of Economic Research, Inc.
    22. Ooms, Tahnee, 2021. "Correcting the underestimation of capital incomes in inequality indicators: with an application to the UK, 1997–2016," LSE Research Online Documents on Economics 108900, London School of Economics and Political Science, LSE Library.

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    More about this item

    Keywords

    inequality; income inequality; survey under-coverage; SPI adjustment; top incomes; tax return data; survey data;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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