Skip to main content
Log in

How log-normal is your country? An analysis of the statistical distribution of the exported volumes of products

  • Regular Article
  • Network Economics
  • Published:
The European Physical Journal Special Topics Aims and scope Submit manuscript

Abstract

We have considered the statistical distributions of the volumes of 1131 products exported by 148 countries. We have found that the form of these distributions is not unique but heavily depends on the level of development of the nation, as expressed by macroeconomic indicators like GDP, GDP per capita, total export and a recently introduced measure for countries’ economic complexity called fitness. We have identified three major classes: a) an incomplete log-normal shape, truncated on the left side, for the less developed countries, b) a complete log-normal, with a wider range of volumes, for nations characterized by intermediate economy, and c) a strongly asymmetric shape for countries with a high degree of development. Finally, the log-normality hypothesis has been checked for the distributions of all the 148 countries through different tests, Kolmogorov-Smirnov and Cramér-Von Mises, confirming that it cannot be rejected only for the countries of intermediate economy.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. B. Balassa, The Manchester School 33, 99 (1965)

    Article  Google Scholar 

  2. M. Bee, M. Riccaboni, S. Schiavo, Phys. Rev. E 84, 026104 (2011)

    Article  ADS  Google Scholar 

  3. S.T. Bramwell, T. Fennell, P.C.W. Holdsworth, B. Portelli, EPL 57, 310 (2002)

    Article  ADS  Google Scholar 

  4. G. Caldarelli, M. Cristelli, A. Gabrielli, L. Pietronero, A. Scala, A. Tacchella, PLoS ONE 7, e47278 (2012)

    Article  ADS  Google Scholar 

  5. M. Cristelli, A. Gabrielli, A. Tacchella, G. Caldarelli, L. Pietronero, PLoS ONE 10, e70726 (2013)

    Article  Google Scholar 

  6. M. Cristelli, A. Tacchella, A. Zaccaria, L. Pietronero, Growth scenarios for sub-saharan countries in the framework of economic complexity (2014) https://mpra.ub.uni-muenchen.de/71594

  7. M. Cristelli, A. Tacchella, L. Pietronero, PLoS ONE 10, e0117174 (2015)

    Article  Google Scholar 

  8. D.A. Darling, The Annals of Mathematical Statistics 28, 823 (1957)

    Article  MathSciNet  Google Scholar 

  9. W. Easterly, A. Reshef, J. Schwenkenberg, The World Bank Policy Research Working Paper, 5081 (2009)

  10. G. Fagiolo, J. Econ. Interact. and Coordi. 5, 1 (2010)

    Article  Google Scholar 

  11. G. Gaulier, S. Zignago, Centre d’Etudes Prospectives et d’Informations Internationales (2010), http://www.cepii.fr/anglaisgraph/workpap/pdf/2010/wp2010-23.pdf

  12. E. Helpman, M.J. Melitz, S.R. Yeaple, Export versus fdi. Technical report, National Bureau of Economic Research (2003)

  13. C. Hidalgo, R. Hausmann, Proc. Natl. Acad. Sci. 106, 10570 (2009)

    Article  ADS  Google Scholar 

  14. I.M. Jánosi, J.A.C. Gallas, Physica A 271, 448 (1999)

    Article  ADS  Google Scholar 

  15. M.J. Melitz, Econometrica 71, 1695 (2003)

    Article  MathSciNet  Google Scholar 

  16. OriginLab, http://www.originlab.com/doc/Origin-Help/NLFit-Algorithm#How_Origin_Fits_the_Curve

  17. Package nortest − > https://cran.r-project.org/web/packages/nortest/index.html plnorm − > https://stat.ethz.ch/R-manual/R-devel/library/stats/html/Lognormal.html pnorm − > https://stat.ethz.ch/R-manual/R-devel/library/stats/html/ Normal.html

  18. A. Petri, A. Baldassarri, F. Dalton, G. Pontuale, L. Pietronero, S. Zapperi, Eur. Phys. J. B 64, 531 (2008)

    Article  ADS  Google Scholar 

  19. E. Pugliese, A. Zaccaria, L. Pietronero, On the convergence of the fitness-complexity algorithm [arXiv:1410.0249] (2014)

  20. E. Pugliese, G.L. Chiarotti, A. Zaccaria, L. Pietronero, Complex economies have a lateral escape from the poverty trap [arXiv:1511.08622] (2015)

  21. W.J. Reed, M. Jorgensen, Communications in statistics: Theory and Methods 33, 1733 (2004)

    Article  MathSciNet  Google Scholar 

  22. W. Shockley, Proceedings of the IRE 45, 180 (1957)

    Article  Google Scholar 

  23. T. Squartini, G. Fagiolo, D. Garlaschelli, Phys. Rev. E 84, 046118 (2011)

    Article  ADS  Google Scholar 

  24. A. Tacchella, M. Cristelli, G. Caldarelli, A. Gabrielli, L. Pietronero, Sci. Rep. 2, 723 (2012)

    Article  ADS  Google Scholar 

  25. A. Zaccaria, M. Cristelli, A. Tacchella, L. Pietronero, PLoS ONE 9, e113770 (2014)

    Article  ADS  Google Scholar 

  26. A. Zaccaria, M. Cristelli, R. Kupers, A. Tacchella, L. Pietronero, J. Econ. Interact. Coordi. 11, 151 (2016)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mario Alberto Annunziata.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Annunziata, M., Petri, A., Pontuale, G. et al. How log-normal is your country? An analysis of the statistical distribution of the exported volumes of products. Eur. Phys. J. Spec. Top. 225, 1985–1995 (2016). https://doi.org/10.1140/epjst/e2015-50320-7

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1140/epjst/e2015-50320-7

Navigation