IDEAS home Printed from https://ideas.repec.org/p/ise/isegwp/wp442008.html
   My bibliography  Save this paper

Network Effects in a Human Capital Based Economic Growth Model

Author

Listed:
  • Teresa V. Martins
  • Tanya Araújo
  • Maria A. Santos
  • Miguel St Aubyn

Abstract

We revisit a recently introduced agent model [ACS, 11, 99 (2008)], where economic growth is a consequence of education (human capital formation) and innovation, and investigate the influence of the agents’ social network, both on an agent’s decision to pursue education and on the output of new ideas. Regular and random networks are considered. The results are compared with the predictions of a mean field (representative agent) model.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Teresa V. Martins & Tanya Araújo & Maria A. Santos & Miguel St Aubyn, 2008. "Network Effects in a Human Capital Based Economic Growth Model," Working Papers Department of Economics 2008/44, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
  • Handle: RePEc:ise:isegwp:wp442008
    as

    Download full text from publisher

    File URL: https://depeco.iseg.ulisboa.pt/wp/wp442008.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Fagiolo, Giorgio & Dosi, Giovanni, 2003. "Exploitation, exploration and innovation in a model of endogenous growth with locally interacting agents," Structural Change and Economic Dynamics, Elsevier, vol. 14(3), pages 237-273, September.
    2. Charles I. Jones, 1999. "Growth: With or Without Scale Effects?," American Economic Review, American Economic Association, vol. 89(2), pages 139-144, May.
    3. Jones, Charles I., 2005. "Growth and Ideas," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 16, pages 1063-1111, Elsevier.
    4. Quentin Michard & Jean-Philippe Bouchaud, 2005. "Theory of collective opinion shifts: from smooth trends to abrupt swings," Science & Finance (CFM) working paper archive 500060, Science & Finance, Capital Fund Management.
    5. Silverberg, Gerald & Verspagen, Bart, 1994. "Collective Learning, Innovation and Growth in a Boundedly Rational, Evolutionary World," Journal of Evolutionary Economics, Springer, vol. 4(3), pages 207-226, September.
    6. Dopfer,Kurt (ed.), 2005. "The Evolutionary Foundations of Economics," Cambridge Books, Cambridge University Press, number 9780521621991, September.
    7. Chiaromonte, Francesca & Dosi, Giovanni, 1993. "Heterogeneity, competition, and macroeconomic dynamics," Structural Change and Economic Dynamics, Elsevier, vol. 4(1), pages 39-63, June.
    8. Q. Michard & J.-P. Bouchaud, 2005. "Theory of collective opinion shifts: from smooth trends to abrupt swings," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 47(1), pages 151-159, September.
    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. Dong, Feng & Li, Yangfan & Li, Kun & Zhu, Jiao & Zheng, Lu, 2022. "Can smart city construction improve urban ecological total factor energy efficiency in China? Fresh evidence from generalized synthetic control method," Energy, Elsevier, vol. 241(C).

    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. Gerard Ballot & Antoine Mandel & Annick Vignes, 2015. "Agent-based modeling and economic theory: where do we stand?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 199-220, October.
    2. Giorgio Fagiolo & Paul Windrum & Alessio Moneta, 2006. "Empirical Validation of Agent Based Models: A Critical Survey," LEM Papers Series 2006/14, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Safarzyńska, Karolina & Brouwer, Roy & Hofkes, Marjan, 2013. "Evolutionary modelling of the macro-economic impacts of catastrophic flood events," Ecological Economics, Elsevier, vol. 88(C), pages 108-118.
    4. Fulvio Castellacci, 2011. "Theoretical Models of Heterogeneity, Growth and Competitiveness: Insights from the Mainstream and Evolutionary Economics Paradigms," Chapters, in: Miroslav N. Jovanović (ed.), International Handbook on the Economics of Integration, Volume II, chapter 5, Edward Elgar Publishing.
    5. Dosi, Giovanni & Nelson, Richard R., 2010. "Technical Change and Industrial Dynamics as Evolutionary Processes," 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 51-127, Elsevier.
    6. Fulvio Castellacci, 2007. "Evolutionary And New Growth Theories. Are They Converging?," Journal of Economic Surveys, Wiley Blackwell, vol. 21(3), pages 585-627, July.
    7. Frank Beckenbach & Maria Daskalakis & David Hofmann, 2012. "Agent-based modelling of novelty creating behavior and sectoral growth effects—Linking the creative and the destructive side of innovation," Journal of Evolutionary Economics, Springer, vol. 22(3), pages 513-542, July.
    8. Karolina Safarzyńska & Jeroen Bergh, 2010. "Evolutionary models in economics: a survey of methods and building blocks," Journal of Evolutionary Economics, Springer, vol. 20(3), pages 329-373, June.
    9. Fagiolo, Giorgio & Dosi, Giovanni, 2003. "Exploitation, exploration and innovation in a model of endogenous growth with locally interacting agents," Structural Change and Economic Dynamics, Elsevier, vol. 14(3), pages 237-273, September.
    10. Arcalean, Calin & Glomm, Gerhard & Schiopu, Ioana, 2012. "Growth effects of spatial redistribution policies," Journal of Economic Dynamics and Control, Elsevier, vol. 36(7), pages 988-1008.
    11. Christoph J. Borner & Ingo Hoffmann & John H. Stiebel, 2024. "A closer look at the chemical potential of an ideal agent system," Papers 2401.09233, arXiv.org.
    12. Tanya Araújo & Miguel St. Aubyn, 2008. "Education, Neighborhood Effects And Growth: An Agent-Based Model Approach," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 11(01), pages 99-117.
    13. Mirta B. Gordon & Jean-Pierre Nadal & Denis Phan & Viktoriya Semeshenko, 2012. "Entanglement between Demand and Supply in Markets with Bandwagon Goods," Papers 1209.1321, arXiv.org, revised Dec 2012.
    14. Denis Phan, 2006. "Discrete Choices under Social Influence:Generic Properties," Post-Print halshs-00105857, HAL.
    15. Jerbashian Vahagn, 2016. "Knowledge licensing in a model of R&D-driven endogenous growth," The B.E. Journal of Macroeconomics, De Gruyter, vol. 16(2), pages 555-579, June.
    16. Vladimir Matveenkov, 2012. "Structure of Equilibria in a Model of Endogenous Growth with Horizontal Innovations," DEGIT Conference Papers c017_051, DEGIT, Dynamics, Economic Growth, and International Trade.
    17. Coronese, Matteo & Occelli, Martina & Lamperti, Francesco & Roventini, Andrea, 2023. "AgriLOVE: Agriculture, land-use and technical change in an evolutionary, agent-based model," Ecological Economics, Elsevier, vol. 208(C).
    18. Dosi, Giovanni & Palagi, Elisa & Roventini, Andrea & Russo, Emanuele, 2023. "Do patents really foster innovation in the pharmaceutical sector? Results from an evolutionary, agent-based model," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 564-589.
    19. Carla Marchese & Fabio Privileggi, 2018. "Endogenous economic growth with disembodied knowledge," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 20(3), pages 437-449, June.
    20. Fagiolo G. & Roventini A., 2004. "Animal Spirits, Lumpy Investment, and the Business Cycle," Computing in Economics and Finance 2004 109, Society for Computational Economics.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ise:isegwp:wp442008. 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: Vitor Escaria (email available below). General contact details of provider: https://aquila.iseg.ulisboa.pt/aquila/departamentos/EC .

    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.