IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/86294.html
   My bibliography  Save this paper

Group Function of Income Distribution in Society

Author

Listed:
  • Fedosin, Sergey G.

Abstract

Based on the similarity of properties of photons and money, and on the formula for the density of distribution of photon gas by energies, the corresponding mathematical formula for distribution of annual income per capita is obtained. Application of this formula for the data analysis reveals several independent groups of population with different average levels of their income. In particular four main groups of population contribute to the distribution of income in the economy of the USA.

Suggested Citation

  • Fedosin, Sergey G., 2015. "Group Function of Income Distribution in Society," MPRA Paper 86294, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:86294
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/86294/1/MPRA_paper_86294.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Xavier Sala-i-Martin, 2006. "The World Distribution of Income: Falling Poverty and … Convergence, Period," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(2), pages 351-397.
    Full references (including those not matched with items on IDEAS)

    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. Ravallion, Martin, 2019. "Global inequality when unequal countries create unequal people," European Economic Review, Elsevier, vol. 111(C), pages 85-97.
    2. Andrew Mountford & Hillel Rapoport, 2006. "The Brain Drain and the World Distribution of Income and Population Growth," DEGIT Conference Papers c011_048, DEGIT, Dynamics, Economic Growth, and International Trade.
    3. Miguel A. Márquez & Elena Lasarte & Marcelo Lufin, 2019. "The Role of Neighborhood in the Analysis of Spatial Economic Inequality," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 245-273, January.
    4. Frédéric DOCQUIER & Joël MACHADO, 2015. "Remittance and Migration Prospects for the Twenty-First Century," Working Papers P133, FERDI.
    5. Leandro Prados de la Escosura, 2023. "Inequality Beyond GDP: A Long View," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 69(3), pages 533-554, September.
    6. Darrell Jiajie Tay & Chung-I Chou & Sai-Ping Li & Shang You Tee & Siew Ann Cheong, 2016. "Bubbles Are Departures from Equilibrium Housing Markets: Evidence from Singapore and Taiwan," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-13, November.
    7. Cowell, Frank A., 2014. "Piketty in the long run," LSE Research Online Documents on Economics 65992, London School of Economics and Political Science, LSE Library.
    8. Aloys Prinz, 2017. "Rankings as coordination games: the Dutch Top 2000 pop song ranking," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 41(4), pages 379-401, November.
    9. Tomas Hellebrandt & Paolo Mauro, 2015. "The Future of Worldwide Income Distribution," Working Paper Series WP15-7, Peterson Institute for International Economics.
    10. Carlos Madeira, 2015. "Identification of Earning Dynamics using Rotating Samples over Short Periods: The Case of Chile," Working Papers Central Bank of Chile 754, Central Bank of Chile.
    11. Montfort Mlachila & René Tapsoba & Sampawende J. A. Tapsoba, 2017. "A Quality of Growth Index for Developing Countries: A Proposal," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(2), pages 675-710, November.
    12. Yuri Biondi & Simone Righi, 2019. "Inequality, mobility and the financial accumulation process: a computational economic analysis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(1), pages 93-119, March.
    13. Camelia Minoiu & Sanjay Reddy, 2014. "Kernel density estimation on grouped data: the case of poverty assessment," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 12(2), pages 163-189, June.
    14. Maia, Adriano & Matsushita, Raul & Demarcus, Antonio & Da Silva, Sergio, 2023. "Scalability in a two-class interoccupational earnings distribution model," SocArXiv 23brg, Center for Open Science.
    15. Peter Grösche & Carsten Schröder, 2014. "On the redistributive effects of Germany’s feed-in tariff," Empirical Economics, Springer, vol. 46(4), pages 1339-1383, June.
    16. Baarsch, Florent & Granadillos, Jessie R. & Hare, William & Knaus, Maria & Krapp, Mario & Schaeffer, Michiel & Lotze-Campen, Hermann, 2020. "The impact of climate change on incomes and convergence in Africa," World Development, Elsevier, vol. 126(C).
    17. Camarena, Jose A. & Galeano, Luciana & Morano, Luis & Puig, Jorge & Riera-Crichton, Daniel & Vegh, Carlos & Venturi, Lucila & Vuletin, Guillermo, 2022. "Fooled by the cycle: Permanent versus cyclical improvements in social indicators," Journal of International Money and Finance, Elsevier, vol. 127(C).
    18. Asongu, Simplice & Nwachukwu, Jacinta C., 2016. "Welfare Spending and Quality of Growth in Developing Countries: A Note on Evidence from Hopefuls, Contenders and Best Performers," MPRA Paper 75047, University Library of Munich, Germany.
    19. Chase, Ivan D. & Douady, Raphael & Padilla, Dianna K., 2020. "A comparison of wealth inequality in humans and non-humans," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 538(C).
    20. Smerlak, Matteo, 2016. "Thermodynamics of inequalities: From precariousness to economic stratification," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 40-50.

    More about this item

    Keywords

    annual income; economic modeling; distribution of income.;
    All these keywords.

    JEL classification:

    • E25 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Aggregate Factor Income Distribution
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

    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:86294. 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.