IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-01500868.html
   My bibliography  Save this paper

Human Capital, Social Capital and Scientific Research in Europe: an Application of Linear Hierarchical Models

Author

Listed:
  • Mathieu Goudard

    (GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

  • Michel Lubrano

    (GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

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.

Suggested Citation

  • Mathieu Goudard & Michel Lubrano, 2013. "Human Capital, Social Capital and Scientific Research in Europe: an Application of Linear Hierarchical Models," Post-Print hal-01500868, HAL.
  • Handle: RePEc:hal:journl:hal-01500868
    DOI: 10.1111/j.1467-9957.2012.02331.x
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Stephan, Paula E., 2010. "The Economics of Science," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 217-273, Elsevier.
    3. Luc Bauwens & Giordano Mion & Jacques-François Thisse, 2011. "The Resistible Decline of European Science," Recherches économiques de Louvain, De Boeck Université, vol. 77(4), pages 5-31.
    4. 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.
    5. James J. Heckman & Lance J. Lochner & Petra E. Todd, 2003. "Fifty Years of Mincer Earnings Regressions," NBER Working Papers 9732, National Bureau of Economic Research, Inc.
    6. 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 752-768, September.
    7. 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 114-132, March.
    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(4), pages 431-456, November.
    9. 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(4), pages 431-456, November.
    10. Harvey Goldstein & Sally Thomas, 1996. "Using Examination Results as Indicators of School and College Performance," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 159(1), pages 149-163, January.
    11. 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 352-352.
    12. Harvey Goldstein & David J. Spiegelhalter, 1996. "League Tables and Their Limitations: Statistical Issues in Comparisons of Institutional Performance," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 159(3), pages 385-409, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Stelios Katranidis & Theodore Panagiotidis & Costas Zontanos, 2017. "Economists, Research Performance and National Inbreeding: North Versus South," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 46(1), pages 145-163, February.
    2. Fernando J. Garrigos-Simon & M. Dolores Botella-Carrubi & Tomas F. Gonzalez-Cruz, 2018. "Social Capital, Human Capital, and Sustainability: A Bibliometric and Visualization Analysis," Sustainability, MDPI, vol. 10(12), pages 1-19, December.
    3. Stelios Katranidis & Theodore Panagiotidis & Kostas Zontanos, 2022. "A note on the relative productivity drivers of economists: a probit/logit approach for six European countries," Economic Change and Restructuring, Springer, vol. 55(4), pages 2171-2178, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Koenig, Michael & Hsieh, Chih-Sheng & Liu, Xiaodong & Zimmermann, Christian, 2018. "Superstar Economists: Coauthorship networks and research output," CEPR Discussion Papers 13239, C.E.P.R. Discussion Papers.
    2. Raquel Carrasco & Javier Ruiz-Castillo, 2014. "The Evolution Of The Scientific Productivity Of Highly Productive Economists," Economic Inquiry, Western Economic Association International, vol. 52(1), pages 1-16, January.
    3. Rajeev K. Goel & Devrim Göktepe-Hultén, 2020. "Drivers of innovation productivity of academic researchers through career advancement," The Journal of Technology Transfer, Springer, vol. 45(2), pages 414-429, April.
    4. Feichtinger, Gustav & Grass, Dieter & Kort, Peter M. & Seidl, Andrea, 2021. "On the Matthew effect in research careers," Journal of Economic Dynamics and Control, Elsevier, vol. 123(C).
    5. A. J. Novák & G. Feichtinger, 2022. "Accumulation and obsolescence of research knowledge," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(4), pages 1151-1166, December.
    6. Peter Burridge & J. Paul Elhorst & Katarina Zigova, 2016. "Group Interaction in Research and the Use of General Nesting Spatial Models," Advances in Econometrics, in: Spatial Econometrics: Qualitative and Limited Dependent Variables, volume 37, pages 223-258, Emerald Group Publishing Limited.
    7. Pedro Albarrán & Raquel Carrasco & Javier Ruiz-Castillo, 2017. "Geographic mobility and research productivity in a selection of top world economics departments," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 241-265, April.
    8. Besancenot, Damien & Huynh, Kim & Serranito, Francisco, 2017. "Co-authorship and research productivity in economics: Assessing the assortative matching hypothesis," Economic Modelling, Elsevier, vol. 66(C), pages 61-80.
    9. Edwin Horlings & Thomas Gurney, 2013. "Search strategies along the academic lifecycle," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1137-1160, March.
    10. Matthias Krapf, 2015. "Age and complementarity in scientific collaboration," Empirical Economics, Springer, vol. 49(2), pages 751-781, September.
    11. John P. Conley & Mario J. Crucini & Robert A. Driskill & Ali Sina Onder, 2011. "Incentives and the Effects of Publication Lags on Life Cycle Research Productivity in Economics," Vanderbilt University Department of Economics Working Papers 1122, Vanderbilt University Department of Economics.
    12. Feichtinger, G. & Grass, D. & Kort, P.M., 2019. "Optimal scientific production over the life cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 108(C).
    13. Thomas Bolli & Jörg Schläpfer, 2015. "Job mobility, peer effects, and research productivity in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 629-650, September.
    14. Chih-Sheng Hsieh & Michael König & Xiaodong Liu & Christian Zimmermann, 2020. "Collaboration in Bipartite Networks, with an Application to Coauthorship Networks," Tinbergen Institute Discussion Papers 20-056/VIII, Tinbergen Institute.
    15. Thursby, Marie & Thursby, Jerry & Gupta-Mukherjee, Swasti, 2007. "Are there real effects of licensing on academic research? A life cycle view," Journal of Economic Behavior & Organization, Elsevier, vol. 63(4), pages 577-598, August.
    16. Libman, A., 2010. "Economics in Germany – from National to Global," Journal of the New Economic Association, New Economic Association, issue 8, pages 155-158.
    17. Chih-Sheng Hsieh & Michael D König & Xiaodong Liu & Christian Zimmermann, 2022. "Collaboration in Bipartite Networks," Working Papers 2202, National Taiwan University, Department of Economics, revised Feb 2022.
    18. Daniel S. Hamermesh, 2018. "Citations in Economics: Measurement, Uses, and Impacts," Journal of Economic Literature, American Economic Association, vol. 56(1), pages 115-156, March.
    19. Damien Besancenot & Kim Huynh & Francisco Serranito, 2015. "Co-Authorship And Individual Research Productivity In Economics: Assessing The Assortative Matching Hypothesis," CEPN Working Papers halshs-01252373, HAL.
    20. Damien Besancenot & Kim Van Huynh & Francisco Serranito, 2015. " Thou shalt not work alone ," CEPN Working Papers hal-01175758, HAL.

    More about this item

    Keywords

    Economie quantitative;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-01500868. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.