HUMAN CAPITAL, SOCIAL CAPITAL AND SCIENTIFIC RESEARCH IN EUROPE: AN APPLICATION OF LINEAR HIERARCHICAL MODELS

Authors

  • MATHIEU GOUDARD,

    1. Aix-Marseille Université and Amse-Greqam, Centre de la Vieille Charité
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  • MICHEL LUBRANO

    1. AMU-Cnrs and Amse-Greqam, Centre de la Vieille Charité
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    • We are grateful to Nicolas Carayol and Stephen Bazen for pointing out several references concerning the economic of science and the theory of human capital, to Pascal Lavergne for useful discussions on multilevel modeling and to Russell Davidson for useful comments and suggestions concerning exogeneity. We are grateful to Suzanne de Chevigné for arousing our interest in sociology. We would like also to thank Tony Atkinson for fruitful discussions and suggestions concerning the characterization of social capital in research institutions. Of course remaining errors are solely ours.


  • Manuscript received 13.1.12; final version received 3.7.12.

Abstract

The theory of human capital, even if it reckons the importance of time in science, is too short for explaining the existing diversity of scientific output. The paper introduces social capital as a necessary complement to explain the creation of scientific human capital. It connects these two concepts by means of a hierarchical econometric model. Bibliographical databases contain much information which is exploited to figure out collaboration, mobility, publishing habits and institutional characteristics. The two level hierarchical model is estimated on 14 European countries using bibliometric data in the fields of economics.

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