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Permanent and transitory earnings dynamics and lifetime income inequality in Sweden

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This paper studies the role of permanent- and transitory earnings variability for lifetime income inequality in Sweden. We fit a permanent–transitory error component model to the autocovariance structure of earnings using administrative data for 2002–2015 and minimum distance estimation. We find that permanent earnings inequality increased during the first decade and that the financial crisis of 2008 temporarily heightened earnings volatility. Using this model, we simulate pensions and study lifetime income inequality. We find that permanent earnings differences generally contributes the most to lifetime income inequality. We conclude that the Swedish pension system provides some insurance against earnings risk, but accentuates the role of permanent earnings differences in explaining lifetime inequality.

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  • Gustafsson, Johan & Holmberg, Johan, 2022. "Permanent and transitory earnings dynamics and lifetime income inequality in Sweden," Umeå Economic Studies 1005, Umeå University, Department of Economics.
  • Handle: RePEc:hhs:umnees:1005
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    1. Lillard, Lee A & Willis, Robert J, 1978. "Dynamic Aspects of Earning Mobility," Econometrica, Econometric Society, vol. 46(5), pages 985-1012, September.
    2. Martin Browning & Mette Ejrnæs & Javier Alvarez, 2010. "Modelling Income Processes with Lots of Heterogeneity," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(4), pages 1353-1381.
    3. Michael Baker & Gary Solon, 2003. "Earnings Dynamics and Inequality among Canadian Men, 1976-1992: Evidence from Longitudinal Income Tax Records," Journal of Labor Economics, University of Chicago Press, vol. 21(2), pages 267-288, April.
    4. Magnus Gustavsson, 2007. "The 1990s rise in Swedish earnings inequality -- persistent or transitory?," Applied Economics, Taylor & Francis Journals, vol. 39(1), pages 25-30.
    5. Nils Gottfries, 2018. "The labor market in Sweden since the 1990s," IZA World of Labor, Institute of Labor Economics (IZA), pages 411-411, July.
    6. Aedín Doris & Donal O’Neill & Olive Sweetman, 2013. "Identification of the covariance structure of earnings using the GMM estimator," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 11(3), pages 343-372, September.
    7. Haider, Steven J, 2001. "Earnings Instability and Earnings Inequality of Males in the United States: 1967-1991," Journal of Labor Economics, University of Chicago Press, vol. 19(4), pages 799-836, October.
    8. Blundell, Richard & Graber, Michael & Mogstad, Magne, 2015. "Labor income dynamics and the insurance from taxes, transfers, and the family," Journal of Public Economics, Elsevier, vol. 127(C), pages 58-73.
    9. Florian Hoffmann, 2019. "HIP, RIP, and the robustness of empirical earnings processes," Quantitative Economics, Econometric Society, vol. 10(3), pages 1279-1315, July.
    10. Paul Bingley & Lorenzo Cappellari & Niels Westergård‐Nielsen, 2013. "Unemployment Insurance, Wage Dynamics and Inequality Over the Life Cycle," Economic Journal, Royal Economic Society, vol. 0, pages 341-372, May.
    11. Deaton, Angus & Paxson, Christina, 1994. "Intertemporal Choice and Inequality," Journal of Political Economy, University of Chicago Press, vol. 102(3), pages 437-467, June.
    12. Baker, Michael, 1997. "Growth-Rate Heterogeneity and the Covariance Structure of Life-Cycle Earnings," Journal of Labor Economics, University of Chicago Press, vol. 15(2), pages 338-375, April.
    13. Magnus Gustavsson, 2008. "A New Picture Of Swedish Earnings Inequality: Persistent And Transitory Components, 1960–1990," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 54(3), pages 324-349, September.
    14. Costas Meghir & Luigi Pistaferri, 2004. "Income Variance Dynamics and Heterogeneity," Econometrica, Econometric Society, vol. 72(1), pages 1-32, January.
    15. Gustavsson, Magnus & Österholm, Pär, 2014. "Does the labor-income process contain a unit root? Evidence from individual-specific time series," Journal of Economic Dynamics and Control, Elsevier, vol. 47(C), pages 152-167.
    16. Lance Lochner & Youngki Shin, 2014. "Understanding Earnings Dynamics: Identifying and Estimating the Changing Roles of Unobserved Ability, Permanent and Transitory Shocks," NBER Working Papers 20068, National Bureau of Economic Research, Inc.
    17. Joel L. Horowitz & Marianthi Markatou, 1996. "Semiparametric Estimation of Regression Models for Panel Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 63(1), pages 145-168.
    18. Lorenzo Cappellari, 2004. "The Dynamics and Inequality of Italian Men’s Earnings: Long-term Changes or Transitory Fluctuations?," Journal of Human Resources, University of Wisconsin Press, vol. 39(2).
    19. Palmer, Edward, 2000. "The Swedish pension reform model : framework and issues," Social Protection Discussion Papers and Notes 23086, The World Bank.
    20. Dmytro Hryshko, 2012. "Labor income profiles are not heterogeneous: Evidence from income growth rates," Quantitative Economics, Econometric Society, vol. 3(2), pages 177-209, July.
    21. Fatih Guvenen, 2009. "An Empirical Investigation of Labor Income Processes," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(1), pages 58-79, January.
    22. Lillard, Lee A & Weiss, Yoram, 1979. "Components of Variation in Panel Earnings Data: American Scientists, 1960-70," Econometrica, Econometric Society, vol. 47(2), pages 437-454, March.
    23. MaCurdy, Thomas E., 1982. "The use of time series processes to model the error structure of earnings in a longitudinal data analysis," Journal of Econometrics, Elsevier, vol. 18(1), pages 83-114, January.
    24. Moira Daly & Dmytro Hryshko & Iourii Manovskii, 2022. "Improving The Measurement Of Earnings Dynamics," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(1), pages 95-124, February.
    25. Adriaan S. Kalwij & Rob Alessie, 2007. "Permanent and transitory wages of British men, 1975-2001: year, age and cohort effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(6), pages 1063-1093.
    26. Richard B. Freeman & Robert Topel & Birgitta Swedenborg, 1997. "Introduction to "The Welfare State in Transition: Reforming the Swedish Model"," NBER Chapters, in: The Welfare State in Transition: Reforming the Swedish Model, pages 1-32, National Bureau of Economic Research, Inc.
    27. Richard B. Freeman & Robert Topel & Birgitta Swedenborg, 1997. "The Welfare State in Transition: Reforming the Swedish Model," NBER Books, National Bureau of Economic Research, Inc, number free97-1, March.
    28. Kjetil Storesletten & Chris I. Telmer & Amir Yaron, 2004. "Cyclical Dynamics in Idiosyncratic Labor Market Risk," Journal of Political Economy, University of Chicago Press, vol. 112(3), pages 695-717, June.
    29. Per-Anders Edin & Robert Topel, 1997. "Wage Policy and Restructuring: The Swedish Labor Market since 1960," NBER Chapters, in: The Welfare State in Transition: Reforming the Swedish Model, pages 155-202, National Bureau of Economic Research, Inc.
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    More about this item

    Keywords

    Permanent-transitory; Income pension entitlements; earning dynamics; life-cycle inequality;
    All these keywords.

    JEL classification:

    • H55 - Public Economics - - National Government Expenditures and Related Policies - - - Social Security and Public Pensions
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion

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