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Hierarchical structures in the Gross Domestic Product per capita fluctuation in Latin American countries

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Author Info

  • Redelico, Francisco O.
  • Proto, Araceli N.
  • Ausloos, Marcel

Abstract

A description of relations between the yearly fluctuations of the Gross Domestic Product (GDP) per capita of 19 Latin American (LA) countries is presented using either a linear (PCC) or a nonlinear correlation coefficient (NCC). Various time windows have been examined to measure the weights giving rise to links used to built complex networks for which the countries are nodes. The Average Overlap Index (AOI) for LA countries has been calculated for the two correlation coefficients showing that it is rather systematically higher than for the 25 EU countries.

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File URL: http://www.sciencedirect.com/science/article/pii/S0378437109004191
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Bibliographic Info

Article provided by Elsevier in its journal Physica A: Statistical Mechanics and its Applications.

Volume (Year): 388 (2009)
Issue (Month): 17 ()
Pages: 3527-3535

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Handle: RePEc:eee:phsmap:v:388:y:2009:i:17:p:3527-3535

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Web page: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/

Related research

Keywords: Econophysics; Gross Domestic Product; Latin America;

References

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  1. M. Gligor & M. Ausloos, 2008. "Clusters in weighted macroeconomic networks: the EU case. Introducing the overlapping index of GDP/capita fluctuation correlations," The European Physical Journal B - Condensed Matter and Complex Systems, Springer, vol. 63(4), pages 533-539, June.
  2. Ausloos, Marcel & Miśkiewicz, Janusz & Sanglier, Michèle, 2004. "The durations of recession and prosperity: does their distribution follow a power or an exponential law?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 339(3), pages 548-558.
  3. Mircea Gligor & Marcel Ausloos, 2008. "Convergence and cluster structures in EU area according to fluctuations in macroeconomic indices," Papers 0805.3071, arXiv.org.
  4. Yang, Yue & Yang, Huijie, 2008. "Complex network-based time series analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(5), pages 1381-1386.
  5. Redelico, Francisco O. & Proto, Araceli N. & Ausloos, Marcel, 2008. "Power law for the duration of recession and prosperity in Latin American countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(25), pages 6330-6336.
  6. M. Gligor & M. Ausloos, 2007. "Cluster structure of EU-15 countries derived from the correlation matrix analysis of macroeconomic index fluctuations," The European Physical Journal B - Condensed Matter and Complex Systems, Springer, vol. 57(2), pages 139-146, 05.
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Citations

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Cited by:
  1. Maharaj, Elizabeth Ann & D’Urso, Pierpaolo, 2010. "A coherence-based approach for the pattern recognition of time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(17), pages 3516-3537.
  2. Janusz Mi\'skiewicz, 2012. "Network analysis of correlation strength between the most developed countries," Papers 1211.3599, arXiv.org.
  3. Miśkiewicz, Janusz, 2013. "Power law classification scheme of time series correlations. On the example of G20 group," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2150-2162.

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