IDEAS home Printed from https://ideas.repec.org/p/unu/wpaper/wp-2018-183.html
   My bibliography  Save this paper

Top incomes in China: Data collection and the impact on income inequality

Author

Listed:
  • Qinghai Li
  • Shi Li
  • Haiyuan Wan

Abstract

With the data on the top incomes collected from different sources, we combine the samples of the top incomes with a household survey to investigate changes in the income distribution with and without the top incomes. The Gini coefficient of income inequality using household survey data is 0.464 for 2016, and it jumps to 0.646 after including the samples of the top incomes, which demonstrates the great importance of the top incomes in estimating income inequality.

Suggested Citation

  • Qinghai Li & Shi Li & Haiyuan Wan, 2018. "Top incomes in China: Data collection and the impact on income inequality," WIDER Working Paper Series wp-2018-183, World Institute for Development Economic Research (UNU-WIDER).
    • Handle: RePEc:unu:wpaper:wp-2018-183
    as

    Download full text from publisher

    File URL: https://www.wider.unu.edu/sites/default/files/Publications/Working-paper/PDF/wp2018-183.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    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. Anthony B. Atkinson, 2018. "Wealth and inheritance in Britain from 1896 to the present," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(2), pages 137-169, June.
    3. Facundo Alvaredo & Anthony Atkinson & Lucas Chancel & Thomas Piketty & Emmanuel Saez & Gabriel Zucman, 2016. "Distributional National Accounts (DINA) Guidelines : Concepts and Methods used in WID.world," Working Papers halshs-02794308, HAL.
    4. 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.
    5. Garbinti, Bertrand & Goupille-Lebret, Jonathan & Piketty, Thomas, 2018. "Income inequality in France, 1900–2014: Evidence from Distributional National Accounts (DINA)," Journal of Public Economics, Elsevier, vol. 162(C), pages 63-77.
    6. John Knight & LI Shi & WAN Haiyuan, 2016. "The Increasing Inequality of Wealth in China, 2002-2013," Economics Series Working Papers 816, University of Oxford, Department of Economics.
    7. Thomas Piketty & Li Yang & Gabriel Zucman, 2017. "Appendix to "Capital Accumulation, Private Property and Rising Inequality in China, 1978-2015"," Working Papers 201707, World Inequality Lab.
    8. Bertrand Garbinti & Jonathan Goupille-Lebret & Thomas Piketty, 2017. "Income Inequality in France, 1900-2014: Evidence from Distributional National Accounts," Working Papers halshs-02658875, HAL.
    9. John Knight, 2014. "Inequality in China: An Overview," The World Bank Research Observer, World Bank, vol. 29(1), pages 1-19.
    10. Li,Shi & Sato,Hiroshi & Sicular,Terry (ed.), 2013. "Rising Inequality in China," Cambridge Books, Cambridge University Press, number 9781107002913.
    11. Shi Li & Renwei Zhao, 2007. "Changes in the Distribution of Wealth in China 1995-2002," WIDER Working Paper Series RP2007-03, World Institute for Development Economic Research (UNU-WIDER).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Zheng-Xin & Jv, Yue-Qi, 2023. "Revisiting income inequality among households: New evidence from the Chinese Household Income Project," China Economic Review, Elsevier, vol. 81(C).
    2. Wan, Haiyuan & Gustafsson, Björn Anders & Wang, Yingfei, 2024. "Convergence of Inequality Dimensions in China: Income, Consumption, and Wealth from 1988 to 2018," IZA Discussion Papers 16719, Institute of Labor Economics (IZA).
    3. 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.
    4. Zhang, Chen & Yu, Yangcheng & Li, Qinghai, 2023. "Top incomes and income polarisation in China," China Economic Review, Elsevier, vol. 77(C).
    5. Gradín, Carlos & Wu, Binbin, 2020. "Income and consumption inequality in China: A comparative approach with India," China Economic Review, Elsevier, vol. 62(C).
    6. Gu, Xiang & Hua, Sheng & McKenzie, Tom & Zheng, Yanqiao, 2022. "Like father, like son? Parental input, access to higher education, and social mobility in China," China Economic Review, Elsevier, vol. 72(C).
    7. Yanqiao Zheng & Xiaoqi Zhang & Qiwen Dai & Xing Zhang, 2020. "To Float or Not to Float? Internal Migration of Skilled Laborers in China," IJERPH, MDPI, vol. 17(23), pages 1-15, December.
    8. Juzhong Zhuang, 2023. "Income and Wealth Inequality in Asia and the Pacific: Trends, Causes, and Policy Remedies," Asian Economic Policy Review, Japan Center for Economic Research, vol. 18(1), pages 15-41, January.
    9. Li, Chengyou & Yu, Yangcheng & Li, Qinghai, 2021. "Top-income data and income inequality correction in China," Economic Modelling, Elsevier, vol. 97(C), pages 210-219.
    10. Zheng, Yanqiao & Zhang, Xiaoqi & Zhu, Yu, 2021. "Overeducation, major mismatch, and return to higher education tiers: Evidence from novel data source of a major online recruitment platform in China," China Economic Review, Elsevier, vol. 66(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shi Li & Haiyuan Wan & Qinghai Li, 2018. "Top incomes in China: Data collection and the impact on income inequality," WIDER Working Paper Series 183, World Institute for Development Economic Research (UNU-WIDER).
    2. Facundo Alvaredo & Lydia Assouad & Thomas Piketty, 2019. "Measuring lnequality in the Middle East 1990–2016: The World’s Most Unequal Region?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 65(4), pages 685-711, December.
    3. Annette Alstadsæter & Niels Johannesen & Gabriel Zucman, 2019. "Tax Evasion and Inequality," American Economic Review, American Economic Association, vol. 109(6), pages 2073-2103, June.
    4. Filip Novokmet & Thomas Piketty & Gabriel Zucman, 2018. "From Soviets to oligarchs: inequality and property in Russia 1905-2016," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(2), pages 189-223, June.
    5. Pawel Bukowski & Filip Novokmet, 2018. "Inequality in Poland: Estimating the whole distribution by g-percentile 1983-2015," LIS Working papers 731, LIS Cross-National Data Center in Luxembourg.
    6. Piketty, Thomas & Alvaredo, Facundo & Assouad, Lydia, 2017. "Measuring inequality in the Middle East 1990-2016: The World’s Most Unequal Region?," CEPR Discussion Papers 12405, C.E.P.R. Discussion Papers.
    7. Thomas Blanchet & Bertrand Garbinti & Jonathan Goupille-Lebret & Clara Martínez-Toledano, 2018. "Applying Generalized Pareto Curves to Inequality Analysis," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 114-118, May.
    8. Aroop Chatterjee & Léo Czajka & Amory Gethin, 2020. "Estimating the Distribution of Household Wealth in South Africa," Working Papers hal-02876974, HAL.
    9. Advani, Arun & Summers, Andy & Tarrant, Hannah, 2020. "Measuring UK top incomes," CAGE Online Working Paper Series 490, Competitive Advantage in the Global Economy (CAGE).
    10. Pawel Bukowski & Filip Novokmet, 2019. "Between Communism and Capitalism: Long-Term Inequality in Poland, 1892- 2015," World Inequality Lab Working Papers hal-02876995, HAL.
    11. 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.
    12. 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.
    13. Garbinti, Bertrand & Goupille-Lebret, Jonathan & Piketty, Thomas, 2018. "Income inequality in France, 1900–2014: Evidence from Distributional National Accounts (DINA)," Journal of Public Economics, Elsevier, vol. 162(C), pages 63-77.
    14. Gabriel Burdín & Mauricio de Rosa & Andrea Vigorito & Joan Vilá, 2019. "Was falling inequality in all Latin American countries a data-driven illusion? Income distribution and mobility patterns in Uruguay 2009-2016," Documentos de Trabajo (working papers) 19-30, Instituto de Economía - IECON.
    15. Long, Zhiming & Herrera, Rémy, 2018. "Capital in the twenty-first century in China," China Economic Review, Elsevier, vol. 50(C), pages 153-174.
    16. 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.
    17. Bukowski, Pawel & Novokmet, Filip, 2019. "Between communism and capitalism: long-term inequality in Poland, 1892-2015," LSE Research Online Documents on Economics 102834, London School of Economics and Political Science, LSE Library.
    18. Pawel Bukowski & Filip Novokmet, 2019. "Between Communism and Capitalism: Long-Term Inequality in Poland, 1892- 2015," Working Papers hal-02876995, HAL.
    19. Stefan Bach & Charlotte Bartels & Theresa Neef, 2021. "Distributional National Accounts: A Macro-Micro Approach to Inequality in Germany," NBER Chapters, in: Measuring Distribution and Mobility of Income and Wealth, pages 625-640, National Bureau of Economic Research, Inc.
    20. Thomas Blanchet & Lucas Chancel & Amory Gethin, 2019. "How Unequal is Europe? Evidence from Distributional National Accounts, 1980-2017," World Inequality Lab Working Papers hal-02877000, HAL.

    More about this item

    Keywords

    Top incomes; Pareto distribution; Income inequality;
    All these keywords.

    JEL classification:

    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • H24 - Public Economics - - Taxation, Subsidies, and Revenue - - - Personal Income and Other Nonbusiness Taxes and Subsidies
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J58 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining - - - Public Policy

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:unu:wpaper:wp-2018-183. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Siméon Rapin (email available below). General contact details of provider: https://edirc.repec.org/data/widerfi.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.