IDEAS home Printed from https://ideas.repec.org/p/fau/wpaper/wp2008_31.html
   My bibliography  Save this paper

Firms formation and growth in the model with heterogeneous agents and monitoring

Author

Abstract

In this article we extend the agent-based model of firms’ formation and growth proposed in [4]. In [4] the firms‘ creation, expansion or contraction results from the interaction of heterogeneous utility maximizers. While the original model was able to replicate the power law distribution in the firms’ sizes agents in the model set their utility maximizing effort levels completely freely and undetected. This led to the emergence of free riding and influenced the overall dynamics of the model. Therefore we decided to extend the original model by introducing the monitoring which is seen in the economic literature, besides for example the proper incentive scheme ([18]), as a possible way how to make employees work harder. Our motivation is to compare the extended model with both to the original case without monitoring and empirical data about firms‘ sizes distribution.

Suggested Citation

  • Peter Marko & Petr Svarc, 2008. "Firms formation and growth in the model with heterogeneous agents and monitoring," Working Papers IES 2008/31, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Nov 2008.
    • Handle: RePEc:fau:wpaper:wp2008_31
    as

    Download full text from publisher

    File URL: http://ies.fsv.cuni.cz/default/file/download/id/9410
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sergey V. Buldyrev & Jakub Growiec & Fabio Pammolli & Massimo Riccaboni & H. Eugene Stanley, 2007. "The Growth of Business Firms: Facts and Theory," Journal of the European Economic Association, MIT Press, vol. 5(2-3), pages 574-584, 04-05.
    2. Chang, Myong-Hun & Harrington, Joseph Jr., 2006. "Agent-Based Models of Organizations," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 26, pages 1273-1337, Elsevier.
    3. Jeffery Carpenter & Samuel Bowles & Herbert Gintis, 2006. "Mutual Monitoring in Teams: Theory and Experimental Evidence on the Importance of Reciprocity," Middlebury College Working Paper Series 0608, Middlebury College, Department of Economics.
    4. Alchian, Armen A & Demsetz, Harold, 1972. "Production , Information Costs, and Economic Organization," American Economic Review, American Economic Association, vol. 62(5), pages 777-795, December.
    5. Robert Axtell, 1999. "The Emergence of Firms in a Population of Agents," Working Papers 99-03-019, Santa Fe Institute.
    6. Bohn, Henning, 1987. "Monitoring multiple agents : The role of hierarchies," Journal of Economic Behavior & Organization, Elsevier, vol. 8(2), pages 279-305, June.
    7. Yannick Malevergne & Didier Sornette, 2006. "Extreme Financial Risks : From Dependence to Risk Management," Post-Print hal-02298069, HAL.
    Full references (including those not matched with items on IDEAS)

    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. Tortia, Ermanno C., 2021. "Employment protection regimes and dismissal of members in worker cooperatives," MPRA Paper 109214, University Library of Munich, Germany.
    2. Chang, Myong-Hun & Harrington, Joseph Jr., 2006. "Agent-Based Models of Organizations," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 26, pages 1273-1337, Elsevier.
    3. Brice Corgnet & Roberto Hernán-González & Stephen Rassenti, 2011. "Real Effort, Real Leisure and Real-time Supervision: Incentives and Peer Pressure in Virtual Organizations," Working Papers 11-05, Chapman University, Economic Science Institute.
    4. Tomas J. Philipson & Seth A. Seabury & Lee M. Lockwood & Dana P. Goldman & Darius N. Lakdawalla, 2010. "Geographic Variation in Health Care: The Role of Private Markets," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 41(1 (Spring), pages 325-361.
    5. Baarda, James R., 2003. "Current Law & Economics Debates: Tools for Assessing Fundamental Cooperative Changes?," 2003 Annual Meeting, October 29 31802, NCERA-194 Research on Cooperatives.
    6. Ugo Pagano, 2010. "Marrying in the Cathedral: A Framework for the Analysis of Corporate Governance," Chapters, in: Alessio M. Pacces (ed.), The Law and Economics of Corporate Governance, chapter 6, Edward Elgar Publishing.
    7. Soufiane Mezzourh & Walid A Nakara, 2009. "Governance and innovation : A Knowledge-based approach [La gouvernance de l'innovation : une approche par la connaissance]," Post-Print halshs-01955966, HAL.
    8. David J. Cooper & Krista Saral & Marie Claire Villeval, 2021. "Why Join a Team?," Management Science, INFORMS, vol. 67(11), pages 6980-6997, November.
    9. Peter-J. Jost, 2023. "Auditing versus monitoring and the role of commitment," Review of Accounting Studies, Springer, vol. 28(2), pages 463-496, June.
    10. José Castro Caldas & Helder Coelho, 1999. "The Origin of Institutions: Socio-Economic Processes, Choice, Norms and Conventions," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 2(2), pages 1-1.
    11. Peter G. Klein & Michael E. Sykuta, 2010. "Editors’ Introduction," Chapters, in: Peter G. Klein & Michael E. Sykuta (ed.), The Elgar Companion to Transaction Cost Economics, chapter 1, Edward Elgar Publishing.
    12. Dendi Ramdani & Arjen Witteloostuijn, 2012. "The Shareholder–Manager Relationship and Its Impact on the Likelihood of Firm Bribery," Journal of Business Ethics, Springer, vol. 108(4), pages 495-507, July.
    13. Chenini Hajer & Jarboui Anis, 2018. "Analysis of the Impact of Governance on Bank Performance: Case of Commercial Tunisian Banks," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(3), pages 871-895, September.
    14. Foss Kirsten & Foss Nicolai & Klein Peter G. & Klein Sandra K., 2002. "Heterogeneous Capital, Entrepreneurship, and Economic Organization," Journal des Economistes et des Etudes Humaines, De Gruyter, vol. 12(1), pages 1-20, March.
    15. Michael Berlemann & Vera Jahn & Robert Lehmann, 2018. "Ways Out of the Empirical Mittelstand Research Dilemma," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 71(23), pages 22-28, December.
    16. Li, Bin & Yao, Yao & Shahab, Yasir & Li, Hai-Xia & Ntim, Collins G., 2020. "Parent-subsidiary dispersion and executive excess perks consumption," International Review of Financial Analysis, Elsevier, vol. 70(C).
    17. van der Heijden, Eline & Potters, Jan & Sefton, Martin, 2009. "Hierarchy and opportunism in teams," Journal of Economic Behavior & Organization, Elsevier, vol. 69(1), pages 39-50, January.
    18. Argandoña, Antonio, 2003. "Private-to-private corruption," IESE Research Papers D/531, IESE Business School.
    19. Derek Jones & Panu Kalmi & Niels Mygind, 2005. "Choice of Ownership Structure and Firm Performance: Evidence from Estonia," Post-Communist Economies, Taylor & Francis Journals, vol. 17(1), pages 83-107.
    20. Pascal Louvet & Ollivier Taramasco, 2004. "Gouvernement d’entreprise:un modèle de répartition de la valeur créée entre dirigeant et actionnaire," Revue Finance Contrôle Stratégie, revues.org, vol. 7(1), pages 81-116, March.

    More about this item

    Keywords

    monitoring; firms‘ size; power law; agent-based model; simulation; heterogeneous agents;
    All these keywords.

    JEL classification:

    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Econometric and Statistical Methods; Specific Distributions

    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:fau:wpaper:wp2008_31. 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: Natalie Svarcova (email available below). General contact details of provider: https://edirc.repec.org/data/icunicz.html .

    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.