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Correction of China's income inequality for missing top incomes

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  • Haiyuan Wan
  • Yangcheng Yu

Abstract

After accounting for top incomes missing from the Chinese Household Income Project, this paper examines the income inequality trend in China during the 21st century. Our analysis, which involves fitting the upper tail of the income distribution to a power‐law model, reveals that the authoritative income survey data miss 0.68% of the population and 6.19% of aggregate income in 2018. Despite the most recent survey data providing better coverage of top incomes, our correction is still crucial. The raw survey data indicate a consistently increasing Gini coefficient between 2002 and 2018, but the corrected index starts to decline from 2013. Meanwhile, the revised top 1% income share increases from 7.01% in 2002 to 7.89% in 2013 and then slightly decreases to 7.64% in 2018, while the revised top 10% income share stabilises at around 33% throughout the period. Notably, China's revised top 10% and top 50% income shares in 2018 are close to those of the United Kingdom but are considerably lower than those of the United States.

Suggested Citation

  • Haiyuan Wan & Yangcheng Yu, 2023. "Correction of China's income inequality for missing top incomes," Review of Development Economics, Wiley Blackwell, vol. 27(3), pages 1769-1791, August.
  • Handle: RePEc:bla:rdevec:v:27:y:2023:i:3:p:1769-1791
    DOI: 10.1111/rode.13010
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    1. Thomas Piketty & Li Yang & Gabriel Zucman, 2019. "Capital Accumulation, Private Property, and Rising Inequality in China, 1978–2015," American Economic Review, American Economic Association, vol. 109(7), pages 2469-2496, July.
    2. Jess Benhabib & Alberto Bisin, 2018. "Skewed Wealth Distributions: Theory and Empirics," Journal of Economic Literature, American Economic Association, vol. 56(4), pages 1261-1291, December.
    3. Martin Ravallion, 2022. "Missing Top Income Recipients," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(1), pages 205-222, March.
    4. Thomas Blanchet & Juliette Fournier & Thomas Piketty, 2022. "Generalized Pareto Curves: Theory and Applications," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(1), pages 263-288, March.
    5. Cirillo, Pasquale, 2013. "Are your data really Pareto distributed?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(23), pages 5947-5962.
    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. Duangkamon Chotikapanich & D. S. Prasada Rao & Kam Ki Tang, 2007. "Estimating Income Inequality In China Using Grouped Data And The Generalized Beta Distribution," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 53(1), pages 127-147, March.
    8. Azizur Rahman Khan & Keith Griffin & Carl Riskin & Zhao Renwei, 1993. "Household Income and its Distribution in China," Palgrave Macmillan Books, in: Keith Griffin & Zhao Renwei (ed.), The Distribution of Income in China, chapter 1, pages 25-73, Palgrave Macmillan.
    9. François Bourguignon, 2018. "Simple adjustments of observed distributions for missing income and missing people," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(2), pages 171-188, June.
    10. Arthur Charpentier & Emmanuel Flachaire, 2022. "Pareto models for top incomes and wealth," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(1), pages 1-25, March.
    11. Chancel, Lucas & Cogneau, Denis & Gethin, Amory & Myczkowski, Alix & Robilliard, Anne-Sophie, 2023. "Income inequality in Africa, 1990–2019: Measurement, patterns, determinants," World Development, Elsevier, vol. 163(C).
    12. Emmanuel Saez & Gabriel Zucman, 2016. "Editor's Choice Wealth Inequality in the United States since 1913: Evidence from Capitalized Income Tax Data," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(2), pages 519-578.
    13. Erik Hurst & Geng Li & Benjamin Pugsley, 2014. "Are Household Surveys Like Tax Forms? Evidence from Income Underreporting of the Self-Employed," The Review of Economics and Statistics, MIT Press, vol. 96(1), pages 19-33, March.
    14. 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.
    15. 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.
    16. Cowell, Frank A. & Flachaire, Emmanuel, 2007. "Income distribution and inequality measurement: The problem of extreme values," Journal of Econometrics, Elsevier, vol. 141(2), pages 1044-1072, December.
    17. Frank A. Cowell, 2008. "Income Distribution and Inequality," Chapters, in: John B. Davis & Wilfred Dolfsma (ed.), The Elgar Companion to Social Economics, chapter 13, Edward Elgar Publishing.
    18. Li, Qinghai & Li, Shi & Wan, Haiyuan, 2020. "Top incomes in China: Data collection and the impact on income inequality," China Economic Review, Elsevier, vol. 62(C).
    19. Andrew Leigh, 2007. "How Closely Do Top Income Shares Track Other Measures of Inequality?," Economic Journal, Royal Economic Society, vol. 117(524), pages 619-633, November.
    20. Alvaredo, Facundo, 2011. "A note on the relationship between top income shares and the Gini coefficient," Economics Letters, Elsevier, vol. 110(3), pages 274-277, March.
    21. Zhang, Chunni & Xu, Qi & Zhou, Xiang & Zhang, Xiaobo & Xie, Yu, 2014. "Are poverty rates underestimated in China? New evidence from four recent surveys," China Economic Review, Elsevier, vol. 31(C), pages 410-425.
    22. Thomas Piketty & Nancy Qian, 2009. "Income Inequality and Progressive Income Taxation in China and India, 1986-2015," American Economic Journal: Applied Economics, American Economic Association, vol. 1(2), pages 53-63, April.
    23. Gustafsson,Björn A. & Shi,Li & Sicular,Terry (ed.), 2010. "Inequality and Public Policy in China," Cambridge Books, Cambridge University Press, number 9780521159050.
    24. 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.
    25. Vladimir Hlasny, 2020. "Nonresponse Bias in Inequality Measurement: Cross‐Country Analysis Using Luxembourg Income Study Surveys," Social Science Quarterly, Southwestern Social Science Association, vol. 101(2), pages 712-731, March.
    26. Cowell, Frank, 2011. "Measuring Inequality," OUP Catalogue, Oxford University Press, edition 3, number 9780199594047, Decembrie.
    27. Zhang, Chen & Yu, Yangcheng & Li, Qinghai, 2023. "Top incomes and income polarisation in China," China Economic Review, Elsevier, vol. 77(C).
    28. Kopczuk, Wojciech & Saez, Emmanuel, 2004. "Top Wealth Shares in the United States, 1916-2000: Evidence From Estate Tax Returns," National Tax Journal, National Tax Association;National Tax Journal, vol. 57(2), pages 445-487, June.
    29. Emmanuel Saez & Michael R. Veall, 2005. "The Evolution of High Incomes in Northern America: Lessons from Canadian Evidence," American Economic Review, American Economic Association, vol. 95(3), pages 831-849, June.
    30. Thomas Piketty, 2003. "Income Inequality in France, 1901-1998," Journal of Political Economy, University of Chicago Press, vol. 111(5), pages 1004-1042, October.
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