IDEAS home Printed from https://ideas.repec.org/h/elg/eechap/3116_12.html

Evolution of Worker-Employer Networks and Behaviors under Alternative Non-Employment Benefits: An Agent-Based Computational Study

In: Innovations in Financial and Economic Networks

Author

Listed:
  • Mark Pingle
  • Leigh Tesfatsion

Abstract

Networks provide the foundation for the functioning of our societies and economies. Their study has had a long tradition in such fields as engineering, operations research, management science and computer science. More recently, the disciplines of finance and economics have come to be rich and fascinating sources of network-based problems and applications. This focused and refereed volume of contributions from leading international scholars provides a wealth of innovations in the study of financial and economic networks.

Suggested Citation

  • Mark Pingle & Leigh Tesfatsion, 2003. "Evolution of Worker-Employer Networks and Behaviors under Alternative Non-Employment Benefits: An Agent-Based Computational Study," Chapters, in: Anna Nagurney (ed.), Innovations in Financial and Economic Networks, chapter 12, pages 256-285, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:3116_12
    as

    Download full text from publisher

    File URL: https://www.elgaronline.com/view/edcoll/9781843764151/9781843764151.00021.xml
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Zach Lewkovicz & Jean-Daniel Kant, 2008. "A Multiagent Simulation Of A Stylized French Labor Market: Emergences At The Micro Level," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 11(02), pages 217-230.
    2. John Duffy & M. Utku Unver, 2003. "Asset Price Bubbles and Crashes with Near-Zero-Intelligence Traders: Towards an Understanding of Laboratory Findings," Computational Economics 0307001, University Library of Munich, Germany, revised 17 Mar 2004.
    3. Christian Martin & Michael Neugart, 2009. "Shocks and Endogenous Institutions: An Agent-based Model of Labor Market Performance in Turbulent Times," Computational Economics, Springer;Society for Computational Economics, vol. 33(1), pages 31-46, February.
    4. Richard B. Freeman, 2007. "Labor Market Institutions Around the World," NBER Working Papers 13242, National Bureau of Economic Research, Inc.
    5. Matteo Richiardi, 2003. "The Promises and Perils of Agent-Based Computational Economics," LABORatorio R. Revelli Working Papers Series 29, LABORatorio R. Revelli, Centre for Employment Studies.
    6. 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.
    7. Simon Gemkow & Michael Neugart, 2011. "Referral hiring, endogenous social networks, and inequality: an agent-based analysis," Journal of Evolutionary Economics, Springer, vol. 21(4), pages 703-719, October.
    8. Flaminio Squazzoni, 2010. "The impact of agent-based models in the social sciences after 15 years of incursions," History of Economic Ideas, Fabrizio Serra Editore, Pisa - Roma, vol. 18(2), pages 197-234.
    9. Richard Freeman, 2005. "Labour market institutions without blinders: The debate over flexibility and labour market performance," International Economic Journal, Taylor & Francis Journals, vol. 19(2), pages 129-145.
    10. Sandra Silva & Jorge Valente & Aurora Teixeira, 2012. "An evolutionary model of industry dynamics and firms’ institutional behavior with job search, bargaining and matching," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 7(1), pages 23-61, May.
    11. Paola Tubaro, 2011. "Computational Economics," Chapters, in: John B. Davis & D. Wade Hands (ed.), The Elgar Companion to Recent Economic Methodology, chapter 10, Edward Elgar Publishing.
    12. Boudreau, James W., 2010. "Stratification and growth in agent-based matching markets," Journal of Economic Behavior & Organization, Elsevier, vol. 75(2), pages 168-179, August.

    More about this item

    Keywords

    ;

    JEL classification:

    • J6 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory

    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:elg:eechap:3116_12. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Darrel McCalla (email available below). General contact details of provider: http://www.e-elgar.com .

    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.