Skip to main content

Kinetic Theory Models for the Distribution of Wealth: Power Law from Overlap of Exponentials

  • Chapter
Econophysics of Wealth Distributions

Part of the book series: New Economic Windows ((NEW))

Abstract

Various multi-agent models of wealth distributions defined by microscopic laws regulating the trades, with or without a saving criterion, are reviewed. We discuss and clarify the equilibrium properties of the model with constant global saving propensity, resulting in Gamma distributions, and their equivalence to the Maxwell-Boltzmann kinetic energy distribution for a system of molecules in an effective number of dimensions D λ, related to the saving propensity λ [M. Patriarca, A. Chakraborti, and K. Kaski, Phys. Rev. E 70 (2004) 016104]. We use these results to analyze the model in which the individual saving propensities of the agents are quenched random variables, and the tail of the equilibrium wealth distribution exhibits a Pareto law f(x) ∝ x α−1 with an exponent α = 1 [A. Chatterjee, B. K. Chakrabarti, and S. S. Manna, Physica Scripta T106 (2003) 367]. Here, we show that the observed Pareto power law can be explained as arising from the overlap of the Maxwell-Boltzmann distributions associated to the various agents, which reach an equilibrium state characterized by their individual Gamma distributions. We also consider the influence of different types of saving propensity distributions on the equilibrium state.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Encyclopaedia Britannica, www.britannica.com/ebc/article?tocId=9372448.

    Google Scholar 

  2. Shostak F (2000) Quarterly J. Australian Econ. 3:69

    Article  Google Scholar 

  3. www.answers.com/income&r=67.

    Google Scholar 

  4. Bennati E (1998) La simulazione statistica nell’analisi della distribuzione del reddito: modelli realistici e metodo di Montecarlo, ETS Editrice, Pisa

    Google Scholar 

  5. Bennati E (1988) Un metodo di simulazione statistica nell’analisi della distribuzione del reddito, Rivista Internazionale di Scienze Economiche e commerciali 735–756

    Google Scholar 

  6. Bennati E (1993) Il metodo di Montecarlo nell’analisi economica, Rassegna di lavori dell’ISCO 10:31

    Google Scholar 

  7. Drăgulescu AA, Yakovenko VM (2000) Statistical mechanics of money, Eur. Phys. J. B 17:723

    Article  Google Scholar 

  8. Chakraborti A, Chakrabarti BK (2000) Statistical mechanics of money: how saving propensity affects its distribution, Eur. Phys. J. B 17:167

    Article  Google Scholar 

  9. Chakraborti A (2002) Distributions of money in model markets of economy, Int. J. Mod. Phys. C 13:1315.

    Article  Google Scholar 

  10. Chatterjee A, Chakrabarti BK, Manna SS, Money in gas-like markets: Gibbs and Pareto laws, Physica Scripta T106:36–38

    Google Scholar 

  11. Chatterjee A, Chakrabarti BK, Manna SS (2004) Pareto law in a kinetic model of market with random saving propensity, Physica A 335:155–163

    Article  Google Scholar 

  12. Das A, Yarlagadda S (2003) A distribution function analysis of wealth distribution, cond-mat/0310343

    Google Scholar 

  13. Repetowicz P, Hutzler S, Richmond P (2004) Dynamics of Money and Income Distributions, cond-mat/0407770

    Google Scholar 

  14. Chatterjee A, Chakrabarti BK, Stinchcombe RB (2005) Master equation for a kinetic model of trading market and its analytic solution: cond-mat/0501413.

    Google Scholar 

  15. Pareto V (1897) Cours d’economie politique, Rouge, Lausanne

    Google Scholar 

  16. Patriarca M, Chakraborti A, Kaski K (2004) Gibbs versus non-Gibbs distributions in money dynamics, Physica A 340:334

    Article  Google Scholar 

  17. Patriarca M, Chakraborti A, Kaski K (2004) Statistical model with a standard gamma distribution, Phys. Rev. E 70:016104

    Article  Google Scholar 

  18. See however similar findings of S. S. Manna in this volume.

    Google Scholar 

  19. See the contribution in this volume by A. Chatterjee.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Italia

About this chapter

Cite this chapter

Patriarca, M., Chakraborti, A., Kaski, K., Germano, G. (2005). Kinetic Theory Models for the Distribution of Wealth: Power Law from Overlap of Exponentials. In: Chatterjee, A., Yarlagadda, S., Chakrabarti, B.K. (eds) Econophysics of Wealth Distributions. New Economic Windows. Springer, Milano. https://doi.org/10.1007/88-470-0389-X_10

Download citation

Publish with us

Policies and ethics