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Human capital, social capital and scientific research in Europe: an application of linear hierarchical models

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  • Mathieu Goudard

    ()
    (GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille - Université de la Méditerranée - Aix-Marseille II - Université Paul Cézanne - Aix-Marseille III - Ecole des Hautes Etudes en Sciences Sociales (EHESS) - CNRS : UMR6579)

  • Michel Lubrano

    ()
    (GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille - Université de la Méditerranée - Aix-Marseille II - Université Paul Cézanne - Aix-Marseille III - Ecole des Hautes Etudes en Sciences Sociales (EHESS) - CNRS : UMR6579)

Abstract

The theory of human capital is one way to explain individual decisions to produce scientific research. However, this theory, even if it reckons the importance of time in science, is too short for explaining the existing diversity of scientific output. The present paper introduces the social capital of Bourdieu (1980), Coleman (1988) and Putnam (1995) as a necessary complement to explain the creation of scientific human capital. This paper connects these two concepts by means of a hierarchical econometric model which makes the distinction between the individual level (human capital) and the cluster level of departments (social capital). The paper shows how a collection of variables can be built from a bibliographic data base indicating both individual behaviour including mobility and collective characteristics of the department housing individual researchers. The two level hierarchical model is estimated on fourteen European countries using bibliometric data in the fields of economics.

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Bibliographic Info

Paper provided by HAL in its series Working Papers with number halshs-00601033.

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Date of creation: 16 Jun 2011
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Handle: RePEc:hal:wpaper:halshs-00601033

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Keywords: Economics of science; human capital; social capital; hierarchical models; European science;

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  1. Luc BAUWENS & Giordano MION & Jacques-François THISSE, 2011. "The Resistible Decline of European Science," Discussion Papers (REL - Recherches Economiques de Louvain) 2011041, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
  2. Michel Lubrano & Luc Bauwens & Alan Kirman & Camelia Protopopescu, 2003. "Ranking Economics Departments in Europe: A Statistical Approach," Journal of the European Economic Association, MIT Press, vol. 1(6), pages 1367-1401, December.
  3. Paula E. Stephan, 1996. "The Economics of Science," Journal of Economic Literature, American Economic Association, vol. 34(3), pages 1199-1235, September.
  4. Lubrano, Michel & Protopopescu, Camelia, 2004. "Density inference for ranking European research systems in the field of economics," Journal of Econometrics, Elsevier, vol. 123(2), pages 345-369, December.
  5. McDowell, John M, 1982. "Obsolescence of Knowledge and Career Publication Profiles: Some Evidence of Differences among Fields in Costs of Interrupted Careers," American Economic Review, American Economic Association, vol. 72(4), pages 752-68, September.
  6. Heckman, James J. & Lochner, Lance John & Todd, Petra E., 2003. "Fifty Years of Mincer Earnings Regressions," IZA Discussion Papers 775, Institute for the Study of Labor (IZA).
  7. Yoram Ben-Porath, 1967. "The Production of Human Capital and the Life Cycle of Earnings," Journal of Political Economy, University of Chicago Press, vol. 75, pages 352.
  8. Michael Rauber & Heinrich W. Ursprung, 2008. "Life Cycle and Cohort Productivity in Economic Research: The Case of Germany," German Economic Review, Verein für Socialpolitik, vol. 9, pages 431-456, November.
  9. Levin, Sharon G & Stephan, Paula E, 1991. "Research Productivity over the Life Cycle: Evidence for Academic Scientists," American Economic Review, American Economic Association, vol. 81(1), pages 114-32, March.
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