IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v370y2006i2p697-703.html
   My bibliography  Save this article

A power-law distribution for tenure lengths of sports managers

Author

Listed:
  • Aidt, Toke S.
  • Leong, Bernard
  • Saslaw, William C.
  • Sgroi, Daniel

Abstract

We show that the tenure lengths for managers of sport teams follow a power law distribution with an exponent between 2 and 3. We develop a simple theoretical model which replicates this result. The model demonstrates that the empirical phenomenon can be understood as the macroscopic outcome of pairwise interactions among managers in a league, threshold effects in managerial performance evaluation, competitive market forces, and luck at the microscopic level.

Suggested Citation

  • Aidt, Toke S. & Leong, Bernard & Saslaw, William C. & Sgroi, Daniel, 2006. "A power-law distribution for tenure lengths of sports managers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(2), pages 697-703.
    • Handle: RePEc:eee:phsmap:v:370:y:2006:i:2:p:697-703
    DOI: 10.1016/j.physa.2006.03.016
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437106003475
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2006.03.016?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Steven N. Durlauf, 2005. "Complexity and Empirical Economics," Economic Journal, Royal Economic Society, vol. 115(504), pages 225-243, June.
    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. Goodall, Amanda H. & Kahn, Lawrence M. & Oswald, Andrew J., 2008. "Why Do Leaders Matter? The Role of Expert Knowledge," IZA Discussion Papers 3583, Institute of Labor Economics (IZA).
    2. Joseph Lampel & Jamal Shamsie & Zur Shapira, 2009. "Experiencing the Improbable: Rare Events and Organizational Learning," Organization Science, INFORMS, vol. 20(5), pages 835-845, October.

    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. Davide Consoli & Pier Paolo Patrucco, 2011. "Complexity and the Coordination of Technological Knowledge: The Case of Innovation Platforms," Chapters, in: Handbook on the Economic Complexity of Technological Change, chapter 8 Edward Elgar Publishing.
    2. Alfò, Marco & Carbonari, Lorenzo & Trovato, Giovanni, 2023. "On the effects of taxation on growth: an empirical assessment," Macroeconomic Dynamics, Cambridge University Press, vol. 27(5), pages 1289-1318, July.
    3. Kieran Donaghy, 2011. "Models of travel demand with endogenous preference change and heterogeneous agents," Journal of Geographical Systems, Springer, vol. 13(1), pages 17-30, March.
    4. Shana M. Sundstrom & Craig R. Allen & David G. Angeler, 2020. "Scaling and discontinuities in the global economy," Journal of Evolutionary Economics, Springer, vol. 30(2), pages 319-345, April.
    5. Cristiano, Antonelli & Scellato, Giuseppe, 2007. "Complexity and Innovation: Social Interactions and Firm Level Total Factor Productivity," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 200709, University of Turin.
    6. Jovanovic, Franck & Schinckus, Christophe, 2016. "Breaking down the barriers between econophysics and financial economics," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 256-266.
    7. Sequeira, Tiago & Morão, Hugo, 2020. "Growth accounting and regressions: New approach and results," International Economics, Elsevier, vol. 162(C), pages 67-79.
    8. Cristiano Antonelli, 2011. "The Economic Complexity of Technological Change: Knowledge Interaction and Path Dependence," Chapters, in: Cristiano Antonelli (ed.), Handbook on the Economic Complexity of Technological Change, chapter 1, Edward Elgar Publishing.
    9. Katarzyna Ostasiewicz & Michal H. Tyc & Piotr Goliczewski & Piotr Magnuszewski & Andrzej Radosz & Jan Sendzimir, 2006. "Integrating economic and psychological insights in binary choice models with social interactions," Papers physics/0609170, arXiv.org.
    10. Philip Haynes & David Alemna, 2022. "A Systematic Literature Review of the Impact of Complexity Theory on Applied Economics," Economies, MDPI, vol. 10(8), pages 1-23, August.
    11. Xavier Gabaix, 2009. "Power Laws in Economics and Finance," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 255-294, May.
    12. Francisco J. Santos-Arteaga & Debora Di Caprio & Madjid Tavana & Aidan O'Connor, 2017. "Formalising The Demand For Technological Innovations: Rational Herds, Market Frictions And Network Effects," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(02), pages 1-43, February.
    13. Chai, Andreas & Stepanova, Elena & Moneta, Alessio, 2023. "Quantifying expenditure hierarchies and the expansion of global consumption diversity," Journal of Economic Behavior & Organization, Elsevier, vol. 214(C), pages 860-886.
    14. Barde, Sylvain, 2016. "Direct comparison of agent-based models of herding in financial markets," Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 329-353.
    15. Robert Marks, 2007. "Validating Simulation Models: A General Framework and Four Applied Examples," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 265-290, October.
    16. repec:spo:wpmain:info:hdl:2441/7kr9gv74ut9ngo58gia97t83i7 is not listed on IDEAS
    17. Lux, Thomas & Alfarano, Simone, 2016. "Financial power laws: Empirical evidence, models, and mechanisms," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 3-18.
    18. Mário Alexandre Patrício Martins da Silva, 2012. "The Knowledge Multiplier," FEP Working Papers 456, Universidade do Porto, Faculdade de Economia do Porto.
    19. Cristiano Antonelli & Giuseppe Scellato, 2013. "Complexity and technological change: knowledge interactions and firm level total factor productivity," Journal of Evolutionary Economics, Springer, vol. 23(1), pages 77-96, January.
    20. Robin Maialeh, 2019. "Generalization of results and neoclassical rationality: unresolved controversies of behavioural economics methodology," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(4), pages 1743-1761, July.
    21. Ron Martin & Peter Sunley, 2010. "Complexity Thinking and Evolutionary Economic Geography," Chapters, in: Ron Boschma & Ron Martin (ed.), The Handbook of Evolutionary Economic Geography, chapter 4, Edward Elgar Publishing.

    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:eee:phsmap:v:370:y:2006:i:2:p:697-703. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.