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Estudio del Desempeño Económico Regional: el caso Argentino

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  • Juan Gabriel Brida

    ()
    (School of Economics and Management, Free University of Bolzano - Italia)

  • Nicolás Garrido

    ()
    (Department of Economics, Universidad Católica del Norte - Chile)

  • Silvia London

    ()
    (Department of Economics, Universidad Nacional del Sur – Consejo Nacional de Investigación Científica y Técnica (CONICET) - Argentina)

Abstract

In this work the economic performance of the Argentinean provinces during the period 1961-2000 is studied. The economic performance is defined from regimes defined by the growth rate and the production per capita of each province during the period. Clusters of performance and their evolution is studied using hierarchical clustering techniques. The main results of the work shows the existence of two clusters with provinces having similar economic performance, and a group of transitional provinces that are moving between the two clusters and in some periods they do not belong to neither of the two groups. On the one hand there is a cluster of poor performance provinces, and on the other hand there is a cluster of high performance provinces. These high performance provinces depend mainly on primary sectors and they are located at the center of the country. The analyses of the results suggest that there is no automatic mechanism of convergence among Argentinean provinces.

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File URL: https://sites.google.com/a/ucn.cl/wpeconomia/archivos/WP2011-02.pdf
File Function: First version, 2011
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Bibliographic Info

Paper provided by Universidad Catolica del Norte, Chile, Department of Economics in its series Documentos de Trabajo en Economia y Ciencia Regional with number 12.

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Length: 35 pages
Date of creation: May 2011
Date of revision: May 2011
Handle: RePEc:cat:dtecon:dt201102

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Keywords: Economic Performance; Hierarchical Clusters; Economics Dynamics.;

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References

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  1. Durlauf, Steven N. & Johnson, Paul A. & Temple, Jonathan R.W., 2005. "Growth Econometrics," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 8, pages 555-677 Elsevier.
  2. Pritchett, Lant, 2000. "Understanding Patterns of Economic Growth: Searching for Hills among Plateaus, Mountains, and Plains," World Bank Economic Review, World Bank Group, vol. 14(2), pages 221-50, May.
  3. R. Mantegna, 1999. "Hierarchical structure in financial markets," The European Physical Journal B - Condensed Matter and Complex Systems, Springer, vol. 11(1), pages 193-197, September.
  4. Quah, Danny, 1996. "Twin Peaks: Growth and Convergence in Models of Distribution Dynamics," CEPR Discussion Papers 1355, C.E.P.R. Discussion Papers.
  5. Juan Gabriel Brida & W. Adrian Risso, 2009. "Dynamic and Structure of the Italian stock market based on returns and volume trading," Economics Bulletin, AccessEcon, vol. 29(3), pages 2417-2423.
  6. Durlauf, S.M. & Johnson, P.A., 1995. "Multiple Regimes and Cross-Country Growth Behavior," Working papers 9419r, Wisconsin Madison - Social Systems.
  7. Elvio Accinelli & Juan Gabriel Brida, 2007. "Modelos Económicos con Múltiples Regímenes," Revista de Administración, Finanzas y Economía (Journal of Management, Finance and Economics), Tecnológico de Monterrey, Campus Ciudad de México, vol. 1(2), pages 96-115.
  8. repec:hal:journl:halshs-00193304 is not listed on IDEAS
  9. Danny Quah, 1996. "Twin peaks : growth and convergence in models of distribution dynamics," LSE Research Online Documents on Economics 2278, London School of Economics and Political Science, LSE Library.
  10. Brida, Juan G. & Punzo, Lionello F., 2003. "Symbolic time series analysis and dynamic regimes," Structural Change and Economic Dynamics, Elsevier, vol. 14(2), pages 159-183, June.
  11. Brida, Juan Gabriel & Risso, Wiston Adrián, 2008. "Multidimensional minimal spanning tree: The Dow Jones case," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(21), pages 5205-5210.
  12. Nicole Madariaga & Sylvie Montout & Patrice Ollivaud, 2005. "Regional convergence and agglomeration in Argentina : a spatial panel data approach," Cahiers de la Maison des Sciences Economiques bla05006, Université Panthéon-Sorbonne (Paris 1).
  13. Nicole Madariaga & Sylvie Montout & Patrice Ollivaud, 2005. "Regional convergence and agglomeration in Argentina : a spatial panel data approach," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00193304, HAL.
  14. Quah, Danny, 1997. "Empirics for Growth and Distribution: Stratification, Polarization, and Convergence Clubs," CEPR Discussion Papers 1586, C.E.P.R. Discussion Papers.
  15. Jerzmanowski, Michal, 2006. "Empirics of hills, plateaus, mountains and plains: A Markov-switching approach to growth," Journal of Development Economics, Elsevier, vol. 81(2), pages 357-385, December.
  16. Danny Quah, 1996. "Twin Peaks: Growth and Convergence in Models of Distribution Dynamics," CEP Discussion Papers dp0280, Centre for Economic Performance, LSE.
  17. Brida, Juan G. & Anyul, Martin Puchet & Punzo, Lionello F., 2003. "Coding economic dynamics to represent regime dynamics. A teach-yourself exercise," Structural Change and Economic Dynamics, Elsevier, vol. 14(2), pages 133-157, June.
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Cited by:
  1. Brida, Juan Gabriel & London, Silvia & Rojas, Mara, 2013. "Una aplicación de los árboles de expansión mínima y árboles jerárquicos al estudio de la convergencia interregional en dinámica de regímenes || An Application of Minimum Spanning Trees and Hie," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 15(1), pages 3-28, June.
  2. Brida, Juan Gabriel & London, Silvia & Rojas, Mara, 2012. "Desempeño Económico Regional: Un Análisis Dinámico Para El Caso Chileno En El Período 1960-2009
    [Regional Economic Performance: A Dynamic Analysis For The Chilean Case In The Period 1960-2009]
    ," MPRA Paper 39182, University Library of Munich, Germany.

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