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Modelling the age-dependent personal income distribution in the USA


  • Ivan O. Kitov

    () (Russian Academy of Sciences)


Numerical modelling of the age-dependent personal income distribution (PID) in the USA is fulfilled based on a micro- and macroeconomic model and results of the overall PID modelling. As expected from the age-dependent accuracy of the Current Population Surveys, the model has demonstrated an excellent prediction power in almost all income bins except the lowermost ones. Here we address the problem of the fine age structure of the PIDs. The age-dependent PIDs are modelled by using the same defining parameters as the overall PIDs. The predicted PIDs accurately describe the observed ones reproducing such complex features as the exponential PID decay in the youngest and oldest age groups. The evolution of the age-dependent PIDs in time is also accurately predicted. The difference in the PID levels in the youngest age group is explained by some shortcomings in the design of the enumeration procedure. Corresponding recommendations are given in order to improve the PID estimates.

Suggested Citation

  • Ivan O. Kitov, 2006. "Modelling the age-dependent personal income distribution in the USA," Working Papers 17, ECINEQ, Society for the Study of Economic Inequality.
  • Handle: RePEc:inq:inqwps:ecineq2006-17

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    1. DiNardo, John & Fortin, Nicole M & Lemieux, Thomas, 1996. "Labor Market Institutions and the Distribution of Wages, 1973-1992: A Semiparametric Approach," Econometrica, Econometric Society, vol. 64(5), pages 1001-1044, September.
    2. Lawrence F. Katz & Kevin M. Murphy, 1992. "Changes in Relative Wages, 1963–1987: Supply and Demand Factors," The Quarterly Journal of Economics, Oxford University Press, vol. 107(1), pages 35-78.
    3. Fichtenbaum, Rudy & Shahidi, Hushang, 1988. "Truncation Bias and the Measurement of Income Inequality," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(3), pages 335-337, July.
    4. John Pencavel, 2006. "A Life Cycle Perspective on Changes in Earnings Inequality among Married Men and Women," The Review of Economics and Statistics, MIT Press, vol. 88(2), pages 232-242, May.
    5. Manski, C.F., 1990. "The Selection Problem," Working papers 90-12, Wisconsin Madison - Social Systems.
    6. Katz, Lawrence F. & Autor, David H., 1999. "Changes in the wage structure and earnings inequality," Handbook of Labor Economics,in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 26, pages 1463-1555 Elsevier.
    7. David H. Autor & Lawrence F. Katz & Melissa S. Kearney, 2005. "Trends in U.S. Wage Inequality: Re-Assessing the Revisionists," NBER Working Papers 11627, National Bureau of Economic Research, Inc.
    8. Francine D. Blau & Lawrence M. Kahn, 2005. "Do Cognitive Test Scores Explain Higher U.S. Wage Inequality?," The Review of Economics and Statistics, MIT Press, vol. 87(1), pages 184-193, February.
    9. Burkhauser, Richard V. & Butler, J. S. & Feng, Shuaizhang & Houtenville, Andrew J., 2004. "Long term trends in earnings inequality: what the CPS can tell us," Economics Letters, Elsevier, vol. 82(2), pages 295-299, February.
    10. Peter Gottschalk & Timothy M. Smeeding, 1997. "Cross-National Comparisons of Earnings and Income Inequality," Journal of Economic Literature, American Economic Association, vol. 35(2), pages 633-687, June.
    11. Thomas Lemieux, 2006. "Increasing Residual Wage Inequality: Composition Effects, Noisy Data, or Rising Demand for Skill?," American Economic Review, American Economic Association, vol. 96(3), pages 461-498, June.
    12. Robert L. Brown & Steven G. Prus, 2006. "Income Inequality over the Later-Life Course: A Comparative Analysis of Seven OECD Countries," Social and Economic Dimensions of an Aging Population Research Papers 154, McMaster University.
    13. Feng, Shuaizhang & Burkhauser, Richard V. & Butler, J.S., 2006. "Levels and Long-Term Trends in Earnings Inequality: Overcoming Current Population Survey Censoring Problems Using the GB2 Distribution," Journal of Business & Economic Statistics, American Statistical Association, vol. 24, pages 57-62, January.
    14. Richard V. Burkhauser & Takashi Oshio & Ludmila Rovba, 2007. "Winners and Losers over the 1990s Business Cycles in Germany, Great Britain, Japan, and the United States," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 127(1), pages 75-84.
    15. Richard V. Burkhauser & Kenneth A. Couch & Andrew Houtenville & Ludmila Rovba, 2003. "Income Inequality in the 1990s: Re-forging a Lost Relationship," Journal of Income Distribution, Journal of Income Distribution, vol. 12(3-4), pages 2-2, September.
    16. Levy, Frank & Murnane, Richard J, 1992. "U.S. Earnings Levels and Earnings Inequality: A Review of Recent Trends and Proposed Explanations," Journal of Economic Literature, American Economic Association, vol. 30(3), pages 1333-1381, September.
    17. Trejo, Stephen J, 1997. "Why Do Mexican Americans Earn Low Wages?," Journal of Political Economy, University of Chicago Press, vol. 105(6), pages 1235-1268, December.
    18. Juhn, Chinhui & Murphy, Kevin M & Pierce, Brooks, 1993. "Wage Inequality and the Rise in Returns to Skill," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 410-442, June.
    19. Andrea Brandolini, 2006. "Measurement of Income Distribution in Supranational Entities: The Case of the European Union," LIS Working papers 452, LIS Cross-National Data Center in Luxembourg.
    20. Lynn Karoly & Gary Burtless, 1995. "Demographic change, rising earnings inequality, and the distribution of personal well-being, 1959–1989," Demography, Springer;Population Association of America (PAA), vol. 32(3), pages 379-405, August.
    21. Arthur Alderson & Jason Beckfield & Francois Nielsen, 2005. "Exactly How has Income Inequality Changed? Patterns of Distributional Change in Core Societies," LIS Working papers 422, LIS Cross-National Data Center in Luxembourg.
    22. Peter Gottschalk & Mary Joyce, 1998. "Cross-National Differences In The Rise In Earnings Inequality: Market And Institutional Factors," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 489-502, November.
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    Cited by:

    1. Ivan O. KITOV, 2008. "The Driving Force of Labor Force Participation in Developed Countries," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 3(3(5)_Fall), pages 203-222.
    2. Kitov, Ivan & Kitov, Oleg, 2013. "The dynamics of personal income distribution and inequality in the United States," MPRA Paper 48649, University Library of Munich, Germany.
    3. Kitov, Ivan, 2008. "Modeling the evolution of age-dependent Gini coefficient for personal incomes in the U.S. between 1967 and 2005," MPRA Paper 10107, University Library of Munich, Germany.

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