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Modeling team performance

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  • Nikolaus Beck
  • Mark Meyer

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  • Nikolaus Beck & Mark Meyer, 2012. "Modeling team performance," Empirical Economics, Springer, vol. 43(1), pages 335-356, August.
    • Handle: RePEc:spr:empeco:v:43:y:2012:i:1:p:335-356
    DOI: 10.1007/s00181-011-0463-2
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    References listed on IDEAS

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    1. Sutter, Matthias & Kocher, Martin G., 2004. "Favoritism of agents - The case of referees' home bias," Journal of Economic Psychology, Elsevier, vol. 25(4), pages 461-469, August.
    2. Rodney Fort & James Quirk, 1995. "Cross-subsidization, Incentives, and Outcomes in Professional Team Sports Leagues," Journal of Economic Literature, American Economic Association, vol. 33(3), pages 1265-1299, September.
    3. Forrest, David & Goddard, John & Simmons, Robert, 2005. "Odds-setters as forecasters: The case of English football," International Journal of Forecasting, Elsevier, vol. 21(3), pages 551-564.
    4. Bernd Frick, 2007. "The Football Players' Labor Market: Empirical Evidence From The Major European Leagues," Scottish Journal of Political Economy, Scottish Economic Society, vol. 54(3), pages 422-446, July.
    5. Georg Stadtmann & Dirk Czarnitzki, 2002. "Uncertainty of outcome versus reputation: Empirical evidence for the First German Football Division," Empirical Economics, Springer, vol. 27(1), pages 101-112.
    6. Bernd Frick, 2009. "Globalization and Factor Mobility," Journal of Sports Economics, , vol. 10(1), pages 88-106, February.
    7. Ioannis Asimakopoulos & John Goddard, 2004. "Forecasting football results and the efficiency of fixed-odds betting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(1), pages 51-66.
    8. Dobson, Stephen & Goddard, John, 2003. "Persistence in sequences of football match results: A Monte Carlo analysis," European Journal of Operational Research, Elsevier, vol. 148(2), pages 247-256, July.
    9. Marvin Washington & Marc J. Ventresca, 2004. "How Organizations Change: The Role of Institutional Support Mechanisms in the Incorporation of Higher Education Visibility Strategies, 1874–1995," Organization Science, INFORMS, vol. 15(1), pages 82-97, February.
    10. Sloane, Peter J, 1971. "The Economics of Professional Football: The Football Club as a Utility Maximiser," Scottish Journal of Political Economy, Scottish Economic Society, vol. 18(2), pages 121-146, June.
    11. Thomas J. Dohmen, 2008. "The Influence Of Social Forces: Evidence From The Behavior Of Football Referees," Economic Inquiry, Western Economic Association International, vol. 46(3), pages 411-424, July.
    12. Goddard, John, 2005. "Regression models for forecasting goals and match results in association football," International Journal of Forecasting, Elsevier, vol. 21(2), pages 331-340.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Julia Müller & Thorsten Upmann, 2017. "Eigenvalue Productivity: Measurement of Individual Contributions in Teams," CESifo Working Paper Series 6679, CESifo.
    2. Massimiliano Castellani & Pierpaolo Pattitoni & Roberto Patuelli, 2015. "Abnormal Returns of Soccer Teams," Journal of Sports Economics, , vol. 16(7), pages 735-759, October.
    3. Julia Müller & Thorsten Upmann & Joachim Prinz, 2013. "Individual Team Productivity - A Conceptual Approach," Tinbergen Institute Discussion Papers 13-183/I, Tinbergen Institute.
    4. Besters, Lucas, 2018. "Economics of professional football," Other publications TiSEM d9e6b9b7-a17b-4665-9cca-1, Tilburg University, School of Economics and Management.
    5. Eukasz Leksowski, 2021. "Relationship between sport and financial performance in top European football clubs," Zeszyty Naukowe Małopolskiej Wyższej Szkoły Ekonomicznej w Tarnowie / The Malopolska School of Economics in Tarnow Research Papers Collection, Malopolska School of Economics in Tarnow, vol. 49(1), pages 41-59, March.
    6. Thomas P. Moliterno & Nikolaus Beck & Christine M. Beckman & Mark Meyer, 2014. "Knowing Your Place: Social Performance Feedback in Good Times and Bad Times," Organization Science, INFORMS, vol. 25(6), pages 1684-1702, December.
    7. Jarvandi Ali & Sarkani Shahram & Mazzuchi Thomas, 2013. "Modeling team compatibility factors using a semi-Markov decision process: a data-driven approach to player selection in soccer," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 9(4), pages 347-366, December.
    8. Müller, Michael, 2016. "The strongest link in a weak team? Performance of players with and without outside options in relegated football clubs," Discussion Papers of the Institute for Organisational Economics 07/2016, University of Münster, Institute for Organisational Economics.

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    More about this item

    Keywords

    Football; Diffusion processes; New institutional theory; Organizational demography; Team heterogeneity; Regression-to-the-mean; C12; C23; D23; D71; L22; L83;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D23 - Microeconomics - - Production and Organizations - - - Organizational Behavior; Transaction Costs; Property Rights
    • D71 - Microeconomics - - Analysis of Collective Decision-Making - - - Social Choice; Clubs; Committees; Associations
    • L22 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Organization and Market Structure
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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