IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/67146.html
   My bibliography  Save this paper

Gender income disparity in the USA: analysis and dynamic modelling

Author

Listed:
  • Kitov, Ivan
  • Kitov, Oleg

Abstract

We analyze and develop a quantitative model describing the evolution of personal income distribution (PID) for males and females in the U.S. between 1930 and 2014. The overall microeconomic model, which we introduced ten years ago, accurately predicts the change in mean income as a function of age as well as the dependence on age of the portion of people distributed according to the Pareto law. As a result, we have precisely described the change in Gini ratio since the start of income measurements in 1947. The overall population consists of two genders, however, which have different income distributions. The difference between incomes earned by male and female population has been experiencing dramatic changes over time. Here, we model the internal dynamics of men’s and women’s PIDs separately and then describe their relative contribution to the overall PID. Our original model is refined to match all principal gender-dependent observations. We found that women in the U.S. are deprived of higher job positions (work capital). This is the cause of the long term income inequality between males and females in the U.S. It is unjust to women and has a negative effect on real economic growth. Women have been catching up since the 1960s and that improves the performance of the U.S. economy. It will take decades, however, to full income equality between genders. There are no new defining parameters included in the model except the critical age, when people start to lose their incomes, was split into two critical ages for low-middle incomes and the highest incomes, which obey a power law distribution. Such an extension becomes necessary in order to match the observation that the female population in the earlier 1960s was practically not represented in the highest incomes. In the overall model, male population dominate in the top income range and the difference between two critical ages is masked. Gender versions of the refined model provide consistent quantitative description of the principal features in the male and female income distribution.

Suggested Citation

  • Kitov, Ivan & Kitov, Oleg, 2015. "Gender income disparity in the USA: analysis and dynamic modelling," MPRA Paper 67146, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:67146
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/67146/1/MPRA_paper_67146.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Richard Burkhauser & Shuaizhang Feng & Stephen Jenkins & Jeff Larrimore, 2009. "Recent Trends in Top Income Shares in the USA: Reconciling Estimates from March CPS and IRS Tax Return Data," Working Papers 09-26, Center for Economic Studies, U.S. Census Bureau.
    3. Drăgulescu, Adrian & Yakovenko, Victor M., 2001. "Exponential and power-law probability distributions of wealth and income in the United Kingdom and the United States," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 299(1), pages 213-221.
    4. P. Jenkins, Stephen & V. Burkhauser, Richard & Feng, Shuaizhang & Larrimore, Jeff, 2009. "Measuring inequality using censored data: a multiple imputation approach," ISER Working Paper Series 2009-04, Institute for Social and Economic Research.
    5. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    6. Sumati Srinivas, 2007. "Social attitudes and the gender pay gap in the USA in recent years," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 34(4), pages 268-275, March.
    7. Ivan O. Kitov, 2009. "Mechanical Model of Personal Income Distribution," Papers 0903.0203, arXiv.org.
    8. Shaikh, Anwar & Papanikolaou, Nikolaos & Wiener, Noe, 2014. "Race, gender and the econophysics of income distribution in the USA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 415(C), pages 54-60.
    9. Victor M. Yakovenko, 2003. "Research in Econophysics," Papers cond-mat/0302270, arXiv.org, revised Mar 2003.
    10. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, July.
    11. 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.
    12. Auten, Gerald & Gee, Geoffrey, 2009. "Income Mobility in the United States: New Evidence From Income Tax Data," National Tax Journal, National Tax Association;National Tax Journal, vol. 62(2), pages 301-328, June.
    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 Burkhauser & Shuaizhang Feng & Stephen Jenkins & Jeff Larrimore, 2011. "Estimating trends in US income inequality using the Current Population Survey: the importance of controlling for censoring," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(3), pages 393-415, September.
    15. Ivan KITOV, 2014. "Estimates Of Income Inequality Are Biased Or Misinterpreted," Theoretical and Practical Research in the Economic Fields, ASERS Publishing, vol. 5(2), pages 142-152.
    16. Ivan Kitov, 2005. "Evolution of the personal income distribution in the USA: High incomes," Economics Bulletin, AccessEcon, vol. 28(12), pages 1.
    17. Richard V. Burkhauser & Shuaizhang Feng & Stephen P. Jenkins & Jeff Larrimore, 2012. "Recent Trends in Top Income Shares in the United States: Reconciling Estimates from March CPS and IRS Tax Return Data," The Review of Economics and Statistics, MIT Press, vol. 94(2), pages 371-388, May.
    18. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    19. Stephen P. Jenkins, 2009. "Distributionally‐Sensitive Inequality Indices And The Gb2 Income Distribution," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(2), pages 392-398, June.
    20. Jeff Larrimore & Richard Burkhauser & Shuaizhang Feng & Laura Zayatz, 2008. "Consistent Cell Means for Topcoded Incomes in the Public Use March CPS (1976-2007)," Working Papers 08-06, Center for Economic Studies, U.S. Census Bureau.
    21. 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.
    22. 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.
    23. Ivan Kitov & Oleg Kitov, 2015. "How universal is the law of income distribution? Cross country comparison," Papers 1510.02754, arXiv.org.
    24. Philip Armour & Richard V. Burkhauser & Jeff Larrimore, 2013. "Levels and Trends in United States Income and Its Distribution A Crosswalk from Market Income Towards a Comprehensive Haig-Simons Income Approach," NBER Working Papers 19110, National Bureau of Economic Research, Inc.
    25. Philip Armour & Richard V. Burkhauser & Jeff Larrimore, 2013. "Deconstructing Income and Income Inequality Measures: A Crosswalk from Market Income to Comprehensive Income," American Economic Review, American Economic Association, vol. 103(3), pages 173-177, May.
    26. Jacob Mincer, 1958. "Investment in Human Capital and Personal Income Distribution," Journal of Political Economy, University of Chicago Press, vol. 66(4), pages 281-281.
    27. Andrea Brandolini & Anthony B. Atkinson, 2001. "Promise and Pitfalls in the Use of "Secondary" Data-Sets: Income Inequality in OECD Countries As a Case Study," Journal of Economic Literature, American Economic Association, vol. 39(3), pages 771-799, September.
    28. repec:wly:soecon:v:81:2:y:2014:p:271-293 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. On secular relative impoverishment of young people
      by Ivan Kitov in Economics as Classical Mechanics on 2021-04-29 09:58:00
    2. Personal income growth - actually heating of a spherical body in a vacuum
      by Ivan Kitov in Economics as Classical Mechanics on 2021-05-01 07:26:00
    3. Gender income disparity in the USA
      by Ivan Kitov in Economics as Classical Mechanics on 2023-09-05 20:26:00
    4. Gender income disparity in the USA: analysis and dynamic modelling
      by Ivan Kitov in Economics as Classical Mechanics on 2015-10-17 13:58:00
    5. Modern professional sport is an ultimate expression of gender and race segregation
      by Ivan Kitov in Economics as Classical Mechanics on 2020-12-29 16:35:00

    Citations

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


    Cited by:

    1. Kitov, Ivan, 2020. "Race and gender income inequality in the USA: black women vs. white men," MPRA Paper 101019, University Library of Munich, Germany, revised 10 Jun 2020.

    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. 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.
    2. Richard Burkhauser & Shuaizhang Feng & Stephen Jenkins & Jeff Larrimore, 2011. "Estimating trends in US income inequality using the Current Population Survey: the importance of controlling for censoring," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(3), pages 393-415, September.
    3. Richard Burkhauser & Shuaizhang Feng & Stephen Jenkins & Jeff Larrimore, 2009. "Recent Trends in Top Income Shares in the USA: Reconciling Estimates from March CPS and IRS Tax Return Data," Working Papers 09-26, Center for Economic Studies, U.S. Census Bureau.
    4. Ellis Scharfenaker, 2022. "Statistical Equilibrium Methods In Analytical Political Economy," Journal of Economic Surveys, Wiley Blackwell, vol. 36(2), pages 276-309, April.
    5. Ellis Scharfenaker & Markus P. A. Schneider, 2023. "Labor Market Segmentation and the Distribution of Income: New Evidence from Internal Census Bureau Data," Working Papers 23-41, Center for Economic Studies, U.S. Census Bureau.
    6. Ellis Scharfenaker, Markus P.A. Schneider, 2019. "Labor Market Segmentation and the Distribution of Income: New Evidence from Internal Census Bureau Data," Working Paper Series, Department of Economics, University of Utah 2019_08, University of Utah, Department of Economics.
    7. Philip Armour & Richard V. Burkhauser & Jeff Larrimore, 2013. "Levels and Trends in United States Income and Its Distribution A Crosswalk from Market Income Towards a Comprehensive Haig-Simons Income Approach," NBER Working Papers 19110, National Bureau of Economic Research, Inc.
    8. Philip Armour & Richard V. Burkhauser & Jeff Larrimore, 2014. "Levels and Trends in U.S. Income and its Distribution: A Crosswalk from Market Income towards a Comprehensive Haig‐Simons Income Approach," Southern Economic Journal, John Wiley & Sons, vol. 81(2), pages 271-293, October.
    9. Aleksandra Parteka & Joanna Wolszczak-Derlacz, 2019. "Global Value Chains and Wages: Multi-Country Evidence from Linked Worker-Industry Data," Open Economies Review, Springer, vol. 30(3), pages 505-539, July.
    10. Richard V. Burkhauser & Jeff Larrimore & Kosali Simon, 2013. "Measuring The Impact Of Valuing Health Insurance On Levels And Trends In Inequality And How The Affordable Care Act Of 2010 Could Affect Them," Contemporary Economic Policy, Western Economic Association International, vol. 31(4), pages 779-794, October.
    11. Jeff Larrimore & Richard V. Burkhauser & Philip Armour, 2013. "Accounting for Income Changes over the Great Recession (2007-2010) Relative to Previous Recessions: The Importance of Taxes and Transfers," NBER Working Papers 19699, National Bureau of Economic Research, Inc.
    12. Kaspar W thrich, 2013. "Set Identification of Generalized Linear Predictors in the Presence of Non-Classical Measurement Errors," Diskussionsschriften dp1304, Universitaet Bern, Departement Volkswirtschaft.
    13. Carpio, Miguel Angel, 2011. "Do pension wealth, pension cost and the nature of pension system affect coverage? Evidence from a country where pay-as-you-go and funded systems coexist," MPRA Paper 34926, University Library of Munich, Germany.
    14. Thomas Dohmen & Armin Falk, 2010. "You Get What You Pay For: Incentives and Selection in the Education System," Economic Journal, Royal Economic Society, vol. 120(546), pages 256-271, August.
    15. Jean-Marc Fournier & Isabell Koske, 2012. "The determinants of earnings inequality: evidence from quantile regressions," OECD Journal: Economic Studies, OECD Publishing, vol. 2012(1), pages 7-36.
    16. Flabbi, Luca & Paternostro, Stefano & Tiongson, Erwin R., 2008. "Returns to education in the economic transition: A systematic assessment using comparable data," Economics of Education Review, Elsevier, vol. 27(6), pages 724-740, December.
    17. Iryna Kalenyuk & Liudmyla Tsymbal, 2021. "Assessment of the intellectual component in economic development," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4793-4816, June.
    18. Cecilia García-Peñalosa & Elsa Orgiazzi, 2013. "Factor Components of Inequality: A Cross-Country Study," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 59(4), pages 689-727, December.
    19. David Roodman, 2022. "Schooling and Labor Market Consequences of School Construction in Indonesia: Comment," Papers 2207.09036, arXiv.org, revised Mar 2024.
    20. Markus P. A. Schneider, 2013. "Race & Gender Differences in the Experience of Earnings Inequality in the US from 1995 to 2010," Working Papers 1303, New School for Social Research, Department of Economics.

    More about this item

    Keywords

    income; gender; age; USA; modelling;
    All these keywords.

    JEL classification:

    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • E64 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Incomes Policy; Price Policy
    • J1 - Labor and Demographic Economics - - Demographic Economics
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development

    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:pra:mprapa:67146. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.