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Power Law Scaling in the World Income Distribution

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Author Info

  • Corrado Di Guilmi

    ()
    (Department of Economics - Università Politecnica delle Marche)

  • Mauro Gallegati

    ()
    (Department of Economics - Università Politecnica delle Marche)

  • Edoardo Gaffeo

    ()
    (Department of Economics - University of Udine)

Abstract

We show that over the period 1960-1997, the range comprised between the 30th and the 85th percentiles of the world income distribution expressed in terms of GDP per capita invariably scales down as a Pareto distribution. Furthermore, the time path of the power law exponent displays a negatively sloped trend. Our findings suggest that the cross-country average growth process appears to be scale invariant but for countries in the tails of the world income distribution, and that the relative volatility of smaller countries' growth processes have increased over time.

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Bibliographic Info

Article provided by AccessEcon in its journal Economics Bulletin.

Volume (Year): 15 (2003)
Issue (Month): 6 ()
Pages: 1-7

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Handle: RePEc:ebl:ecbull:eb-03o40003

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Keywords: Growth;

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References

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  1. John Sutton, 1997. "Gibrat's Legacy," Journal of Economic Literature, American Economic Association, vol. 35(1), pages 40-59, March.
  2. Danny Quah, 1996. "Twin Peaks: Growth and Convergence in Models of Distribution Dynamics," CEP Discussion Papers dp0280, Centre for Economic Performance, LSE.
  3. Dinopoulos, Elias & Thompson, Peter, 1998. " Schumpeterian Growth without Scale Effects," Journal of Economic Growth, Springer, vol. 3(4), pages 313-35, December.
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  7. Pritchett, Lant, 1995. "Divergence, big time," Policy Research Working Paper Series 1522, The World Bank.
  8. Quah, Danny T, 1996. "Twin Peaks: Growth and Convergence in Models of Distribution Dynamics," Economic Journal, Royal Economic Society, vol. 106(437), pages 1045-55, July.
  9. Blank, Aharon & Solomon, Sorin, 2000. "Power laws in cities population, financial markets and internet sites (scaling in systems with a variable number of components)," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 287(1), pages 279-288.
  10. Gaffeo, Edoardo & Gallegati, Mauro & Palestrini, Antonio, 2003. "On the size distribution of firms: additional evidence from the G7 countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 117-123.
  11. Danny Quah, 1992. "Empirical cross-section dynamics in economic growth," Discussion Paper / Institute for Empirical Macroeconomics 75, Federal Reserve Bank of Minneapolis.
  12. Agenor, Pierre-Richard & McDermott, C John & Prasad, Eswar S, 2000. "Macroeconomic Fluctuations in Developing Countries: Some Stylized Facts," World Bank Economic Review, World Bank Group, vol. 14(2), pages 251-85, May.
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  17. Rosen, Kenneth T. & Resnick, Mitchel, 1980. "The size distribution of cities: An examination of the Pareto law and primacy," Journal of Urban Economics, Elsevier, vol. 8(2), pages 165-186, September.
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Citations

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Cited by:
  1. Carlo Bianchi & Pasquale Cirillo & Mauro Gallegati & Pietro Vagliasindi, 2007. "Validating and Calibrating Agent-Based Models: A Case Study," Computational Economics, Society for Computational Economics, vol. 30(3), pages 245-264, October.
  2. Diego Garlaschelli & Maria I. Loffredo, 2007. "Effects of network topology on wealth distributions," Papers 0711.4710, arXiv.org, revised Jan 2008.
  3. G. Fagiolo & M. Napoletano & A. Roventini, 2007. "How do output growth-rate distributions look like? Some cross-country, time-series evidence," The European Physical Journal B - Condensed Matter and Complex Systems, Springer, vol. 57(2), pages 205-211, 05.
  4. Jia Shao & Plamen Ch. Ivanov & Boris Podobnik & H. Eugene Stanley, 2007. "Quantitative relations between corruption and economic factors," Papers 0705.0161, arXiv.org.
  5. Tomson Ogwang, 2011. "Power laws in top wealth distributions: evidence from Canada," Empirical Economics, Springer, vol. 41(2), pages 473-486, October.
  6. Domenico Delli Gatti & Corrado Di Guilmi & Edoardo Gaffeo & Gianfranco Giulioni & Mauro Gallegati & Antonio Palestrini, 2004. "Business Cycle Fluctuations And Firms' Size Distribution Dynamics," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 223-240.
  7. D. Garlaschelli & T. Di Matteo & T. Aste & G. Caldarelli & M. I. Loffredo, 2007. "Interplay between topology and dynamics in the World Trade Web," The European Physical Journal B - Condensed Matter and Complex Systems, Springer, vol. 57(2), pages 159-164, 05.
  8. Pasquale Cirillo & Mauro Gallegati, 2012. "The Empirical Validation of an Agent-based Model," Eastern Economic Journal, Palgrave Macmillan, vol. 38(4), pages 525-547.
  9. Alexander M. Petersen & Boris Podobnik & Davor Horvatic & H. Eugene Stanley, 2010. "Scale invariant properties of public debt growth," Papers 1002.2491, arXiv.org.
  10. Roki Iwahashi & Tomohiro Machikita, 2004. "A new empirical regularity in world income distribution dynamics, 1960-2001," Economics Bulletin, AccessEcon, vol. 6(19), pages 1-15.
  11. González-Val, Rafael & Sanso-Navarro, Marcos, 2008. "Gibrat’s law for countries," MPRA Paper 9733, University Library of Munich, Germany.

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