IDEAS home Printed from https://ideas.repec.org/p/oec/ecoaaa/1274-en.html
   My bibliography  Save this paper

Who are the top 1% earners in Europe?

Author

Listed:
  • Oliver Denk

    (OECD)

Abstract

Top earners have become the subject of intense public and scholarly debate. This is the first paper that comprehensively documents the profiles of the 1% highest paid employees across 18 European countries. The data come from the largest harmonised source available, an employer-based survey that covers the labour income of 10 million employees, excluding the self-employed. The patterns that emerge are broadly common across countries. Workers in the top 1% tend to be 40 to 60 years old, be men, have tertiary education, work in finance or manufacturing, and be senior managers. The analysis also uncovers several cross-country differences. For example, top earners are younger in Eastern Europe, and they include more women in countries with higher overall female employment. The new estimates in this paper are similar to related ones based on administrative records in the few countries for which such studies exist, indicating that the sample is broadly representative of the characteristics of top earners. Qui sont les 1 % des salariés les mieux payés en Europe ? Les très hauts revenus sont aujourd’hui au coeur du débat public et des travaux universitaires. Ce document est le premier qui procède à une analyse complète du profil des 1 % des salariés les mieux payés dans 18 pays européens. Les données proviennent de la plus grande source harmonisée qui existe, une enquête auprès des employeurs qui porte sur le revenu du travail de 10 millions de salariés, hors travailleurs indépendants. Les caractéristiques mises en évidence sont globalement similaires d’un pays à l’autre. Les employés qui font partie des 1 % les mieux rémunérés se trouvent principalement parmi les personnes âgées de 40 à 60 ans, de sexe masculin, ayant fait des études supérieures, travaillant dans la finance ou l’industrie, et occupant un poste de haut dirigeant. L’analyse révèle également plusieurs différences entre pays. Par exemple, les employés à très hauts revenus sont plus jeunes en Europe de l’Est, et les femmes sont davantage représentées dans cette catégorie dans les pays où le taux d’emploi des femmes est plus élevé. Les nouvelles estimations que cette étude fournit recoupent celles basées sur des registres administratifs dans les quelques pays où de telles études existent, ce qui révèle que l’échantillon est globalement représentatif des caractéristiques des bénéficiaires de hauts revenus.

Suggested Citation

  • Oliver Denk, 2015. "Who are the top 1% earners in Europe?," OECD Economics Department Working Papers 1274, OECD Publishing.
  • Handle: RePEc:oec:ecoaaa:1274-en
    DOI: 10.1787/5jrp1g39gkzw-en
    as

    Download full text from publisher

    File URL: https://doi.org/10.1787/5jrp1g39gkzw-en
    Download Restriction: no

    File URL: https://libkey.io/10.1787/5jrp1g39gkzw-en?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Philip Du Caju & Gábor Kátay & Ana Lamo & Daphne Nicolitsas & Steven Poelhekke, 2010. "Inter-Industry Wage Differentials In EU Countries: What Do Cross-Country Time Varying Data Add to the Picture?," Journal of the European Economic Association, MIT Press, vol. 8(2-3), pages 478-486, 04-05.
    3. Claudia Olivetti & Barbara Petrongolo, 2008. "Unequal Pay or Unequal Employment? A Cross-Country Analysis of Gender Gaps," Journal of Labor Economics, University of Chicago Press, vol. 26(4), pages 621-654, October.
    4. Fatih Guvenen & Greg Kaplan & Jae Song, 2014. "The Glass Ceiling and the Paper Floor: Gender Differences among Top Earners, 1981–2012," Working Papers 716, Federal Reserve Bank of Minneapolis.
    5. Seán Kennedy & Yosuke Jin & David Haugh & Patrick Lenain, 2016. "Taxes, Income and Economic Mobility in Ireland: New Evidence from Tax Records Data," The Economic and Social Review, Economic and Social Studies, vol. 47(1), pages 109-153.
    6. Nicole Fortin & David A. Green & Thomas Lemieux & Kevin Milligan & W. Craig Riddell, 2012. "Canadian Inequality: Recent Developments and Policy Options," Canadian Public Policy, University of Toronto Press, vol. 38(2), pages 121-145, June.
    7. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    8. Josh Bivens & Lawrence Mishel, 2013. "The Pay of Corporate Executives and Financial Professionals as Evidence of Rents in Top 1 Percent Incomes," Journal of Economic Perspectives, American Economic Association, vol. 27(3), pages 57-78, Summer.
    9. Thomas Piketty & Emmanuel Saez & Stefanie Stantcheva, 2014. "Optimal Taxation of Top Labor Incomes: A Tale of Three Elasticities," American Economic Journal: Economic Policy, American Economic Association, vol. 6(1), pages 230-271, February.
    10. Steven N. Kaplan & Joshua Rauh, 2010. "Wall Street and Main Street: What Contributes to the Rise in the Highest Incomes?," NBER Chapters, in: Corporate Governance, National Bureau of Economic Research, Inc.
    11. Jon Bakija & Adam Cole & Bradley Heim, 2008. "Jobs and Income Growth of Top Earners and the Causes of Changing Income Inequality: Evidence from U.S. Tax Return Data," Department of Economics Working Papers 2010-22, Department of Economics, Williams College, revised Jan 2012.
    12. Facundo Alvaredo & Anthony Atkinson & Thomas Piketty & Emmanuel Saez, 2013. "The Top 1% in International and Historical Perspective," Post-Print halshs-00847231, HAL.
    13. Florence Jaumotte & Carolina Osorio Buitron, 2015. "Inequality and Labor Market Institutions," IMF Staff Discussion Notes 15/14, International Monetary Fund.
    14. Oliver Denk, 2015. "Financial sector pay and labour income inequality: Evidence from Europe," OECD Economics Department Working Papers 1225, OECD Publishing.
    15. Guy Michaels & Ashwini Natraj & John Van Reenen, 2010. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over 25 Years," CEP Discussion Papers dp0987, Centre for Economic Performance, LSE.
    16. Gerald Auten & Geoffrey Gee & Nicholas Turner, 2013. "Income Inequality, Mobility, and Turnover at the Top in the US, 1987-2010," American Economic Review, American Economic Association, vol. 103(3), pages 168-172, May.
    17. Steven N. Kaplan & Joshua Rauh, 2013. "It's the Market: The Broad-Based Rise in the Return to Top Talent," Journal of Economic Perspectives, American Economic Association, vol. 27(3), pages 35-56, Summer.
    18. Thomas Piketty & Emmanuel Saez, 2003. "Income Inequality in the United States, 1913–1998," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(1), pages 1-41.
    19. Ms. Florence Jaumotte & Ms. Carolina Osorio-Buitron, 2015. "Inequality and Labor Market Institutions," IMF Staff Discussion Notes 2015/014, International Monetary Fund.
    20. Michael Förster & Ana Llena-Nozal & Vahé Nafilyan, 2014. "Trends in Top Incomes and their Taxation in OECD Countries," OECD Social, Employment and Migration Working Papers 159, OECD Publishing.
    21. Facundo Alvaredo & Anthony B. Atkinson & Thomas Piketty & Emmanuel Saez, 2013. "The Top 1 Percent in International and Historical Perspective," Journal of Economic Perspectives, American Economic Association, vol. 27(3), pages 3-20, Summer.
    22. Guy Michaels & Ashwini Natraj & John Van Reenen, 2014. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over Twenty-Five Years," The Review of Economics and Statistics, MIT Press, vol. 96(1), pages 60-77, March.
    23. Thomas Piketty, 2003. "Income Inequality in France, 1901-1998," Journal of Political Economy, University of Chicago Press, vol. 111(5), pages 1004-1042, October.
    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. Florian Scheuer & Joel Slemrod, 2020. "Taxation and the Superrich," Annual Review of Economics, Annual Reviews, vol. 12(1), pages 189-211, August.
    2. Frederico Cantante, 2020. "Four profiles of inequality and tax redistribution in Europe," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-7, December.
    3. Martinez, Isabel Z., 2016. "Beggar-Thy-Neighbour Tax Cuts: Mobility after a Local Income and Wealth Tax Reform in Switzerland," VfS Annual Conference 2016 (Augsburg): Demographic Change 145643, Verein für Socialpolitik / German Economic Association.
    4. Fortin, Nicole M. & Bell, Brian & Böhm, Michael, 2017. "Top earnings inequality and the gender pay gap: Canada, Sweden, and the United Kingdom," Labour Economics, Elsevier, vol. 47(C), pages 107-123.
    5. Nolan, Brian & Richiardi, Matteo & Valenzuela, Luis, 2018. "The Drivers of Inequality in Rich Countries," INET Oxford Working Papers 2018-15, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    6. Ignacio ÁLVAREZ & Maarten KEUNE & Jesús CRUCES & Jorge UXÓ, 2021. "Missing links in the inclusive growth debate: Functional income distribution and labour market institutions," International Labour Review, International Labour Organization, vol. 160(3), pages 337-362, September.
    7. Charles, Aurelie & Vujić, Sunčica, 2018. "From Elitist to Sustainable Earnings: Is there a group legitimacy in financial flows?," GLO Discussion Paper Series 200, Global Labor Organization (GLO).

    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. Keller, Wolfgang & Olney, William W., 2021. "Globalization and executive compensation," Journal of International Economics, Elsevier, vol. 129(C).
    2. Damián Vergara, 2022. "Do policies and institutions matter for pre-tax income inequality? Cross-country evidence," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 29(1), pages 30-52, February.
    3. Andrés César & Guillermo Falcone & Pablo Garriga, 2022. "Robots, Exports and Top Income Inequality: Evidence for the U.S," CEDLAS, Working Papers 0307, CEDLAS, Universidad Nacional de La Plata.
    4. Holger M. Mueller & Paige P. Ouimet & Elena Simintzi, 2015. "Wage Inequality and Firm Growth," LIS Working papers 632, LIS Cross-National Data Center in Luxembourg.
    5. Terhi Ravaska, 2018. "Top incomes and income dynamics from a gender perspective: Evidence from Finland 1995–2012," Working Papers 321, Työn ja talouden tutkimus LABORE, The Labour Institute for Economic Research LABORE.
    6. Salverda, Wiemer & Checchi, Daniele, 2014. "Labour-Market Institutions and the Dispersion of Wage Earnings," IZA Discussion Papers 8220, Institute of Labor Economics (IZA).
    7. Ravaska Terhi, 2018. "Top incomes and income dynamics from a gender perspective : Evidence from Finland 1995-2012," Working Papers 1822, Tampere University, Faculty of Management and Business, Economics.
    8. Raymundo M. Campos-Vazquez & Emmanuel Chavez & Gerardo Esquivel, 2017. "Growth is (really) good for the (really) rich," The World Economy, Wiley Blackwell, vol. 40(12), pages 2639-2675, December.
    9. Atanu Ghoshray & Issam Malki & Javier Ordóñez, 2022. "On the long-run dynamics of income and wealth inequality," Empirical Economics, Springer, vol. 62(2), pages 375-408, February.
    10. Caiani, Alessandro & Russo, Alberto & Gallegati, Mauro, 2016. "Does Inequality Hamper Innovation and Growth?," MPRA Paper 71864, University Library of Munich, Germany.
    11. Terhi Ravaska, 2018. "Top incomes and income dynamics from a gender perspective: Evidence from Finland 1995-2012," Working Papers 469, ECINEQ, Society for the Study of Economic Inequality.
    12. Roman Bobilev & Anne Boschini & Jesper Roine, 2020. "Women in the Top of the Income Distribution: What Can We Learn From LIS-Data?," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 6(1), pages 63-107, March.
    13. Oliver Denk, 2015. "Financial sector pay and labour income inequality: Evidence from Europe," OECD Economics Department Working Papers 1225, OECD Publishing.
    14. Boschini, Anne & Gunnarsson, Kristin & Roine, Jesper, 2020. "Women in top incomes – Evidence from Sweden 1971–2017," Journal of Public Economics, Elsevier, vol. 181(C).
    15. Advani, Arun & Summers, Andy & Tarrant, Hannah, 2020. "Measuring UK top incomes," CAGE Online Working Paper Series 490, Competitive Advantage in the Global Economy (CAGE).
    16. Andrea Coveri & Mario Pianta, 2019. "The Structural Dynamics of Income Distribution:Technology, Wages and Profits," Working Papers 1901, University of Urbino Carlo Bo, Department of Economics, Society & Politics - Scientific Committee - L. Stefanini & G. Travaglini, revised 2019.
    17. Shuhei Aoki & Makoto Nirei, 2014. "Zipf's Law, Pareto's Law, and the Evolution of Top Incomes in the U.S," Working Papers e074, Tokyo Center for Economic Research.
    18. A. Cetrulo & A. Sbardella & M. E. Virgillito, 2023. "Vanishing social classes? Facts and figures of the Italian labour market," Journal of Evolutionary Economics, Springer, vol. 33(1), pages 97-148, January.
    19. Hager, Sandy Brian, 2020. "Varieties of Top Incomes," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 18(4), pages 1175-1198.
    20. 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.

    More about this item

    Keywords

    earnings; Europe; Europe centrale; income inequality; inégalité des revenus; revenus;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:oec:ecoaaa:1274-en. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/edoecfr.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.