IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Pareto's Law of Income Distribution: Evidence for Germany, the United Kingdom, and the United States

  • F. Clementi
  • M. Gallegati

We analyze three sets of income data: the US Panel Study of Income Dynamics PSID), the British Household Panel Survey (BHPS), and the German Socio-Economic Panel (GSOEP). It is shown that the empirical income distribution is consistent with a two-parameter lognormal function for the low-middle income group (97%-99% of the population), and with a Pareto or power law function for the high income group (1%-3% of the population). This mixture of two qualitatively different analytical distributions seems stable over the years covered by our data sets, although their parameters significantly change in time. It is also found that the probability density of income growth rates almost has the form of an exponential function.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://arxiv.org/pdf/physics/0504217
File Function: Latest version
Download Restriction: no

Paper provided by arXiv.org in its series Papers with number physics/0504217.

as
in new window

Length:
Date of creation: Apr 2005
Date of revision: Mar 2006
Publication status: Published in Chatterjee, A., Yarlagadda, S., and Chakrabarti B. K. (2005). Econophysics of Wealth Distributions. Milan: Springer-Verlag Italia. (pp. 3-14)
Handle: RePEc:arx:papers:physics/0504217
Contact details of provider: Web page: http://arxiv.org/

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. F. Clementi & M. Gallegati, 2004. "Power Law Tails in the Italian Personal Income Distribution," Papers cond-mat/0408067, arXiv.org.
  2. Kyungsik Kim & Seong-Min Yoon, 2004. "Power Law Distributions in Korean Household Incomes," Papers cond-mat/0403161, arXiv.org.
  3. Adrian Dragulescu & Victor M. Yakovenko, 2001. "Exponential and power-law probability distributions of wealth and income in the United Kingdom and the United States," Papers cond-mat/0103544, arXiv.org, revised Mar 2001.
  4. Youngki Lee & Luis A. N. Amaral & David Canning & Martin Meyer & H. Eugene Stanley, 1998. "Universal features in the growth dynamics of complex organizations," Papers cond-mat/9804100, arXiv.org.
  5. Adrian A. Dragulescu, 2003. "Applications of physics to economics and finance: Money, income, wealth, and the stock market," Papers cond-mat/0307341, arXiv.org, revised Jul 2003.
  6. Bottazzi, Giulio & Secchi, Angelo, 2003. "A stochastic model of firm growth," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 213-219.
  7. G. Willis & J. Mimkes, 2004. "Evidence for the Independence of Waged and Unwaged Income, Evidence for Boltzmann Distributions in Waged Income, and the Outlines of a Coherent Theory of Income Distribution," Papers cond-mat/0406694, arXiv.org.
  8. Levy, Moshe, 2003. "Are rich people smarter?," Journal of Economic Theory, Elsevier, vol. 110(1), pages 42-64, May.
  9. Kaniadakis, G., 2001. "Non-linear kinetics underlying generalized statistics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 296(3), pages 405-425.
  10. Nunes Amaral, Luís A & Buldyrev, Sergey V & Havlin, Shlomo & Maass, Philipp & Salinger, Michael A & Eugene Stanley, H & Stanley, Michael H.R, 1997. "Scaling behavior in economics: The problem of quantifying company growth," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 244(1), pages 1-24.
  11. Makoto Nirei & Wataru Souma, 2007. "A Two Factor Model Of Income Distribution Dynamics," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 53(3), pages 440-459, 09.
  12. T. Di Matteo & T. Aste & S. T. Hyde, 2003. "Exchanges in complex networks: income and wealth distributions," Papers cond-mat/0310544, arXiv.org.
  13. Giulio Bottazzi & Angelo Secchi, 2002. "On the Laplace Distribution of Firms Growth Rates," LEM Papers Series 2002/20, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  14. John Sutton, 2001. "The Variance of Firm Growth Rates: The Scaling Puzzle," STICERD - Economics of Industry Papers 27, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
  15. L. A. N. Amaral & S. V. Buldyrev & S. Havlin & H. Leschhorn & P. Maass & M. A. Salinger & H. E. Stanley & M. H. R. Stanley, 1997. "Scaling behavior in economics: I. Empirical results for company growth," Papers cond-mat/9702082, arXiv.org.
Full references (including those not matched with items on IDEAS)

This item is featured on the following reading lists or Wikipedia pages:

  1. Log-normal distribution in Wikipedia English ne '')
  2. Log-normális eloszlás in Wikipedia Hungarian ne '')

When requesting a correction, please mention this item's handle: RePEc:arx:papers:physics/0504217. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (arXiv administrators)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.