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Common Trends and Shocks to Top Incomes – A Structural Breaks Approach

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  • Roine, Jesper

    (Stockholm School of Economics)

  • Waldenström, Daniel

    (Research Institute of Industrial Economics (IFN))

Abstract

In this paper we use newly compiled top income share data to estimate common breaks and trends across countries over the twentieth century. By using the most re-cent structural breaks techniques, our approach both confirms previous notions and offers new insights. In particular, the division into an Anglo-Saxon and a Continental European experience does not seem to be as clear cut as previously suggested. Some continental European countries have had increases in top income shares, just as in the Anglo-Saxon countries, but typically with a lag. Most notably, we find that the Nordic countries display a marked “Anglo-Saxon” pattern, with sharply increased top income shares. Unlike in the Anglo-Saxon countries, however, including realized capital gains seems important in these countries. Our results help inform theories about the causes of the recent rise in inequality.

Suggested Citation

  • Roine, Jesper & Waldenström, Daniel, 2009. "Common Trends and Shocks to Top Incomes – A Structural Breaks Approach," Working Paper Series 801, Research Institute of Industrial Economics.
  • Handle: RePEc:hhs:iuiwop:0801
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    Cited by:

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    2. Jesper Roine & Daniel Waldenström, 2012. "On The Role Of Capital Gains In Swedish Income Inequality," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 58(3), pages 569-587, September.
    3. Kontbay-Busun, Sine & Peichl, Andreas, 2014. "Multidimensional affluence in income and wealth in the eurozone: A cross country comparison using the HFCS," ZEW Discussion Papers 14-124, ZEW - Leibniz Centre for European Economic Research.
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    5. Leena Kalliovirta & Tuomas Malinen, 2020. "Non‐Linearity and Cross‐Country Dependence of Income Inequality," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(1), pages 227-249, March.
    6. Caparoz, Marcel & Marçal, Emerson Fernandes & Mattos, Enlinson, 2019. "A time series analysis of household income inequality in Brazil 1977 to 2013," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 73(4), December.
    7. Andreas Peichl & Nico Pestel, 2013. "Multidimensional affluence: theory and applications to Germany and the US," Applied Economics, Taylor & Francis Journals, vol. 45(32), pages 4591-4601, November.
    8. Peter Dolton & Li Lin, 2011. "From Grants to Loans and Fees: The Demand for Post-Compulsory Education in England and Wales from 1955 to 2008," CEE Discussion Papers 0127, Centre for the Economics of Education, LSE.
    9. Salvatore Morelli, 2018. "Banking crises in the US: the response of top income shares in a historical perspective," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(2), pages 257-294, June.
    10. David R. Agrawal & Dirk Foremny, 2019. "Relocation of the Rich: Migration in Response to Top Tax Rate Changes from Spanish Reforms," The Review of Economics and Statistics, MIT Press, vol. 101(2), pages 214-232, May.
    11. van Bavel, Bas, 2016. "The Invisible Hand?: How Market Economies have Emerged and Declined Since AD 500," OUP Catalogue, Oxford University Press, number 9780199608133.
    12. Atanu Ghoshray & Mercedes Monfort & Javier Ordóñez, 2020. "Economic integration and the distribution of income in Europe: A between country analysis," Working Papers 2020/11, Economics Department, Universitat Jaume I, Castellón (Spain).
    13. Salvatore Morelli & Timothy Smeeding & Jeffrey Thompson, 2014. "Post-1970 Trends in Within-Country Inequality and Poverty: Rich and Middle Income Countries," CSEF Working Papers 356, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    14. Aart Kraay & Roy Weide, 2022. "Measuring intragenerational mobility using aggregate data," Journal of Economic Growth, Springer, vol. 27(2), pages 273-314, June.
    15. Tuomas Malinen, 2013. "Is there a relationship between income inequality and credit cycles?," Working Papers 292, ECINEQ, Society for the Study of Economic Inequality.
    16. Richard Burkhauser & Markus Hahn & Roger Wilkins, 2015. "Measuring top incomes using tax record data: a cautionary tale from Australia," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 13(2), pages 181-205, June.
    17. Yousef Makhlouf, 2023. "Trends in Income Inequality: Evidence from Developing and Developed Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 165(1), pages 213-243, January.
    18. Tuomas Malinen, 2011. "Income Inequality and Savings: A Reassessment of the Relationship in Cointegrated Panels," DEGIT Conference Papers c016_076, DEGIT, Dynamics, Economic Growth, and International Trade.
    19. Atolia Manoj & Kurokawa Yoshinori, 2021. "Entry Costs, Task Variety, and Skill Flexibility: A Simple Theory of (Top) Income Skewness," The B.E. Journal of Macroeconomics, De Gruyter, vol. 21(1), pages 97-124, January.
    20. 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.
    21. Timothy Neal, 2013. "Using Panel Co-Integration Methods To Understand Rising Top Income Shares," The Economic Record, The Economic Society of Australia, vol. 89(284), pages 83-98, March.
    22. Bartels, Charlotte & Waldenström, Daniel, 2021. "Inequality and top incomes," GLO Discussion Paper Series 959, Global Labor Organization (GLO).
    23. Tuomas, Malinen, 2011. "Inequality and savings: a reassesment of the relationship in cointegrated panels," MPRA Paper 33350, University Library of Munich, Germany.
    24. Atanu Ghoshray & Issam Malki & Javier Ordóñez, 2020. "Trends, Breaks and Persistence in Top Income Shares," Working Papers 2020/12, Economics Department, Universitat Jaume I, Castellón (Spain).

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    More about this item

    Keywords

    Top Incomes; Income Inequality; Economic Development; Common Structural Breaks;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • D30 - Microeconomics - - Distribution - - - General
    • N30 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - General, International, or Comparative

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