IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-09-00413.html
   My bibliography  Save this article

A note on the endogeneity of the pay-performance relationship in professional soccer

Author

Listed:
  • Stephan Nüesch

    (University of Zurich)

Abstract

Torgler and Schmidt (2007) have recently found a positive impact of pay on player performance in German soccer, measured by the number of goals and assists scored within a season. This note shows that their result is spurious as both a player's wage and goal/assist scoring are driven by individual playing abilities. Holding the (unobserved) time-invariant and the varying talent of a player constant, the positive pay-performance link is no longer statistically significant. In professional soccer, wages seem to buy talent rather than motivation.

Suggested Citation

  • Stephan Nüesch, 2009. "A note on the endogeneity of the pay-performance relationship in professional soccer," Economics Bulletin, AccessEcon, vol. 29(3), pages 1850-1855.
  • Handle: RePEc:ebl:ecbull:eb-09-00413
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2009/Volume29/EB-09-V29-I3-P33.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Egon Franck & Stephan Nüesch, 2007. "Wage Dispersion and Team Performance - An Empirical Panel Analysis," Working Papers 0017, University of Zurich, Center for Research in Sports Administration (CRSA).
    2. Benno Torgler & Sascha Schmidt, 2007. "What shapes player performance in soccer? Empirical findings from a panel analysis," Applied Economics, Taylor & Francis Journals, vol. 39(18), pages 2355-2369.
    3. Carlos Pestana Barros & Stephanie Leach, 2006. "Performance evaluation of the English Premier Football League with data envelopment analysis," Applied Economics, Taylor & Francis Journals, vol. 38(12), pages 1449-1458.
    4. Barros, Carlos Pestana & Garcia-del-Barrio, Pedro, 2008. "Efficiency measurement of the English football Premier League with a random frontier model," Economic Modelling, Elsevier, vol. 25(5), pages 994-1002, 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. Garry A. Gelade, 2018. "The Influence of Team Composition on Attacking and Defending in Football," Journal of Sports Economics, , vol. 19(8), pages 1174-1190, December.
    2. Tim R. L. Fry & Guillaume Galanos & Alberto Posso, 2014. "Let's Get Messi? Top-Scorer Productivity in the European Champions League," Scottish Journal of Political Economy, Scottish Economic Society, vol. 61(3), pages 261-279, July.
    3. Alberto Posso & Tim R. L. Fry & Michael Gangemi & George B. Tawadros, 2016. "¡Fútbol!," Journal of Sports Economics, , vol. 17(3), pages 219-233, April.

    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. Andrés Picazo-Tadeo & Francisco González-Gómez, 2010. "Does playing several competitions influence a team’s league performance? Evidence from Spanish professional football," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 18(3), pages 413-432, September.
    2. Francisco González-Gómez & Andrés J. Picazo-Tadeo, 2010. "Can We Be Satisfied With Our Football Team? Evidence From Spanish Professional Football," Journal of Sports Economics, , vol. 11(4), pages 418-442, August.
    3. Fiona Carmichael & Dennis Thomas, 2014. "Team performance: production and efficiency in football," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 10, pages 143-165, Edward Elgar Publishing.
    4. Artur Wyszyński, 2017. "Sytuacja finansowa klubów Ekstraklasy w ujęciu metody DEA," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 69-99.
    5. Torben Tiedemann & Tammo Francksen & Uwe Latacz-Lohmann, 2011. "Assessing the performance of German Bundesliga football players: a non-parametric metafrontier approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 19(4), pages 571-587, December.
    6. C. P. Barros & O. H. dos S. Figueiredo & Silvestre Dumbo, 2016. "A performance assessment of the Angolan soccer league," Applied Economics, Taylor & Francis Journals, vol. 48(29), pages 2711-2720, June.
    7. Carlos Pestana Barros & Gaël Bertrand & Laurent Botti & Scott Tainsky, 2014. "Cost efficiency of French rugby clubs," Applied Economics, Taylor & Francis Journals, vol. 46(23), pages 2721-2732, August.
    8. Halkos, George & Tzeremes, Nickolaos, 2012. "Evaluating professional tennis players’ career performance: A Data Envelopment Analysis approach," MPRA Paper 41516, University Library of Munich, Germany.
    9. Ira Horowitz, 2017. "An Efficiency Evaluation of Men’s College Basketball Coaches," The American Economist, Sage Publications, vol. 62(1), pages 77-98, March.
    10. Carlos Pestana Barros & Eduardo Couto & Antonio Samagaio, 2014. "Management ability, strategy, tactics and team performance," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 11, pages 166-188, Edward Elgar Publishing.
    11. J. Brandon Bolen & Jon Rezek & Joshua D. Pitts, 2019. "Performance Efficiency in NCAA Basketball," Journal of Sports Economics, , vol. 20(2), pages 218-241, February.
    12. Wei Xu, 2018. "Operational Efficiency of the Football Team in Chinese Super League with DEA," International Business Research, Canadian Center of Science and Education, vol. 11(3), pages 1-9, March.
    13. Carlos Pestana Barros & Peter Wanke & Otávio Figueiredo, 2015. "The Brazilian Soccer Championship: an efficiency analysis," Applied Economics, Taylor & Francis Journals, vol. 47(9), pages 906-915, February.
    14. Fiona Carmichael & Giambattista Rossi & Denis Thomas, 2017. "Production, Efficiency, and Corruption in Italian Serie A Football," Journal of Sports Economics, , vol. 18(1), pages 34-57, January.
    15. Artur Wyszynski, 2016. "Efficiency Of Football Clubs In Poland," OLSZTYN ECONOMIC JOURNAL, University of Warmia and Mazury in Olsztyn, Faculty of Economic Sciences, vol. 11(1), pages 59-72, February.
    16. Jardin, Mathieu, 2009. "Efficiency of French football clubs and its dynamics," MPRA Paper 19828, University Library of Munich, Germany.
    17. Paulo Reis Mourao, 2016. "Soccer transfers, team efficiency and the sports cycle in the most valued European soccer leagues – have European soccer teams been efficient in trading players?," Applied Economics, Taylor & Francis Journals, vol. 48(56), pages 5513-5524, December.
    18. Fabíola Zambom-Ferraresi & Lucía Isabel García-Cebrián & Fernando Lera-López & Belén Iráizoz, 2017. "Performance Evaluation in the UEFA Champions League," Journal of Sports Economics, , vol. 18(5), pages 448-470, June.
    19. Halil İbrahim KESKİN & Hakan ÖNDES, 2020. "Measuring the Efficiency of Selected European Football Clubs: DEA and Panel Tobit Model," Sosyoekonomi Journal, Sosyoekonomi Society, issue 28(43).
    20. C. P. Barros & Dércio Mandlaze & Scott Tainsky, 2016. "The efficiency of Mozambique soccer league: the Moçambola," Applied Economics, Taylor & Francis Journals, vol. 48(31), pages 2965-2971, July.

    More about this item

    JEL classification:

    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs
    • J4 - Labor and Demographic Economics - - Particular Labor Markets

    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:ebl:ecbull:eb-09-00413. 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: John P. Conley (email available below). General contact details of provider: .

    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.