IDEAS home Printed from https://ideas.repec.org/a/taf/revpoe/v29y2017i1p18-29.html
   My bibliography  Save this article

Income Distribution, Econophysics and Piketty

Author

Listed:
  • Anwar Shaikh

Abstract

Piketty, Atkinson and Saez have put the analysis of income distribution back on center stage. The distinction between property income and labor income plays a central role in this framework. Property income derives from the rate of return on stocks of income-earning wealth and is more unequally distributed than labor income. Piketty argues that, because the rate of return (r) is generally greater than the rate of growth of the economy (g), property income tends to grow more rapidly than labor income, so that rising income inequality is an intrinsic tendency of capitalism despite interruptions due to world wars and great depressions. This article argues the exact opposite. The rise of unions and the welfare state were the fruits of long-term historical gains made by labor, and the postwar constraints on real and financial capital arose in sensible reaction to the Great Depression. The ‘neoliberal’ era beginning in the 1980s significantly rolled back all of these. The article uses the econophysics two-class argument of Yakovenko to show that we can explain the empirical degree of inequality using two factors alone: the profit share and the degree of financialization of income. The rise of inequality in the neoliberal era then derives from a reduction in the wage share (rise in the profit share) in the face of assaults on labor and the welfare state, and a sharp increase in the financialization of incomes as financial controls are weakened. These are inherently socio-political outcomes, and what was lost can be regained. Hence, there is no inevitable return to Piketty’s ‘patrimonial capitalism’.

Suggested Citation

  • Anwar Shaikh, 2017. "Income Distribution, Econophysics and Piketty," Review of Political Economy, Taylor & Francis Journals, vol. 29(1), pages 18-29, January.
  • Handle: RePEc:taf:revpoe:v:29:y:2017:i:1:p:18-29
    DOI: 10.1080/09538259.2016.1205295
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09538259.2016.1205295
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/09538259.2016.1205295?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Anand Banerjee & Victor M. Yakovenko, 2009. "Universal patterns of inequality," Papers 0912.4898, arXiv.org, revised Apr 2010.
    2. 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.
    3. A. Drăgulescu & V.M. Yakovenko, 2001. "Evidence for the exponential distribution of income in the USA," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 20(4), pages 585-589, April.
    4. Jesus Felipe & John S.L. McCombie, 2013. "The Aggregate Production Function and the Measurement of Technical Change," Books, Edward Elgar Publishing, number 1975.
    5. Victor M. Yakovenko & J. Barkley Rosser, 2009. "Colloquium: Statistical mechanics of money, wealth, and income," Papers 0905.1518, arXiv.org, revised Dec 2009.
    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. Gregor Semieniuk & Victor M. Yakovenko, 2020. "Historical Evolution of Global Inequality in Carbon Emissions and Footprints versus Redistributive Scenarios," Papers 2004.00111, arXiv.org.
    2. Nikolaos Th. Chatzarakis, 2021. "Revisiting the role and consequences of Econophysics from a Marxian perspective," Bulletin of Political Economy, Bulletin of Political Economy, vol. 15(1), pages 45-68, June.
    3. Kumar, Rishabh, 2024. "Power-law behavior and inequality in the upper tail of wealth, income and consumption: evidence from India," OSF Preprints 298js, Center for Open Science.
    4. Anwar Shaikh & Amr Ragab, 2023. "Some universal patterns in income distribution: An econophysics approach," Metroeconomica, Wiley Blackwell, vol. 74(1), pages 248-264, February.
    5. Kotz, David M. & McDonough, Terrence & McMahon, Can, 2019. "Reading Capital in the Twenty-First Century: Thomas Piketty and political economy [Lire Le Capital au xxie siècle : Thomas Piketty et l’économie politique]," Revue de la Régulation - Capitalisme, institutions, pouvoirs, Association Recherche et Régulation, vol. 26.
    6. Dosi, G. & Pereira, M.C. & Roventini, A. & Virgillito, M.E., 2022. "Technological paradigms, labour creation and destruction in a multi-sector agent-based model," Research Policy, Elsevier, vol. 51(10).
    7. Tao, Yong, 2021. "Boltzmann-like income distribution in low and middle income classes: Evidence from the United Kingdom," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 578(C).
    8. Anwar Shaikh, 2018. "Some Universal Patterns in Income Distribution: An Econophysics Approach," Working Papers 1808, New School for Social Research, Department of Economics.
    9. Kumar, Rishabh, 2021. "Personal income inequality in USA from a two-class perspective: 2004-2018," SocArXiv fmkj3, Center for Open Science.

    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. Shaikh, Anwar & Jacobo, Juan Esteban, 2020. "Economic Arbitrage and the Econophysics of Income Inequality," Review of Behavioral Economics, now publishers, vol. 7(4), pages 299–315-2, December.
    2. Anwar Shaikh & Amr Ragab, 2023. "Some universal patterns in income distribution: An econophysics approach," Metroeconomica, Wiley Blackwell, vol. 74(1), pages 248-264, February.
    3. Markus P. A. Schneider, 2018. "Revisiting the thermal and superthermal two-class distribution of incomes: A critical perspective," Papers 1804.06341, arXiv.org.
    4. Soriano-Hernández, P. & del Castillo-Mussot, M. & Campirán-Chávez, I. & Montemayor-Aldrete, J.A., 2017. "Wealth of the world’s richest publicly traded companies per industry and per employee: Gamma, Log-normal and Pareto power-law as universal distributions?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 733-749.
    5. Costas Efthimiou & Adam Wearne, 2016. "Household Income Distribution in the USA," Papers 1602.06234, arXiv.org.
    6. Hernández-Ramírez, E. & del Castillo-Mussot, M. & Hernández-Casildo, J., 2021. "World per capita gross domestic product measured nominally and across countries with purchasing power parity: Stretched exponential or Boltzmann–Gibbs distribution?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 568(C).
    7. Paulo L. dos Santos, 2017. "The Principle of Social Scaling," Complexity, Hindawi, vol. 2017, pages 1-9, December.
    8. Yong Tao & Xiangjun Wu & Tao Zhou & Weibo Yan & Yanyuxiang Huang & Han Yu & Benedict Mondal & Victor M. Yakovenko, 2019. "Exponential structure of income inequality: evidence from 67 countries," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(2), pages 345-376, June.
    9. Chami Figueira, F. & Moura, N.J. & Ribeiro, M.B., 2011. "The Gompertz–Pareto income distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(4), pages 689-698.
    10. Soares, Abner D. & Moura Jr., Newton J. & Ribeiro, Marcelo B., 2016. "Tsallis statistics in the income distribution of Brazil," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 158-171.
    11. Nikolaos Papanikolaou, 2020. "The Econophysics of Labor Income," Bulletin of Applied Economics, Risk Market Journals, vol. 7(1), pages 107-122.
    12. Newby, Michael & Behr, Adam & Feizabadi, Mitra Shojania, 2011. "Investigating the distribution of personal income obtained from the recent U.S. data," Economic Modelling, Elsevier, vol. 28(3), pages 1170-1173, May.
    13. Díaz, Juan D. & Gutiérrez Cubillos, Pablo & Tapia Griñen, Pablo, 2021. "The exponential Pareto model with hidden income processes: Evidence from Chile," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 561(C).
    14. Tao, Yong, 2021. "Boltzmann-like income distribution in low and middle income classes: Evidence from the United Kingdom," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 578(C).
    15. Anwar Shaikh, 2018. "Some Universal Patterns in Income Distribution: An Econophysics Approach," Working Papers 1808, New School for Social Research, Department of Economics.
    16. Soriano-Hernández, P. & del Castillo-Mussot, M. & Córdoba-Rodríguez, O. & Mansilla-Corona, R., 2017. "Non-stationary individual and household income of poor, rich and middle classes in Mexico," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 403-413.
    17. Scott Lawrence & Qin Liu & Victor M. Yakovenko, 2013. "Global inequality in energy consumption from 1980 to 2010," Papers 1312.6443, arXiv.org, revised Mar 2014.
    18. 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.
    19. Caticha, Ariel & Golan, Amos, 2014. "An entropic framework for modeling economies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 408(C), pages 149-163.
    20. Ellis Scharfenaker, 2022. "Statistical Equilibrium Methods In Analytical Political Economy," Journal of Economic Surveys, Wiley Blackwell, vol. 36(2), pages 276-309, April.

    More about this item

    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:taf:revpoe:v:29:y:2017:i:1:p:18-29. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CRPE20 .

    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.