Abstract
Professional team sports provide an ideal real world experiment to explore the effect of top executive replacement due to the availability of excellent performance data. This paper investigates how replacing the coach affects the performance of football teams. Analyzing almost 2,000 matches of the Austrian premier football league by ordinal (probit) regression techniques we find that a new coach tends to enhance team performance in home matches but to weaken it in away matches. However, neither of these effects turns out to be statistically significant. Nevertheless, the much discussed coach effect—ousting an underperforming coach in order to improve team performance at least temporarily—may make sense despite the costs involved by providing stronger ex-ante incentives for effort.
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Notes
Aside from the managerial focus of this study, sports results have been used to investigate numerous other questions, e.g. racial biases (Madden (2004) shows that Afro-American coaches in the NFL have been more successful and Szymanski (2000) finds a similar racial bias of overpaying white players in English football) or game theoretic considerations on tactics (e.g. Palomino et al. 2000). Chiappori et al. (2002) use data on football penalties to demonstrate the use of mixed strategies.
e.g. Bernstein (1998) calls Michael Milken and T. Boone Pickens heroes, because they have revolutionized the notoriously lazy American management (a point that should not be forgotten in the current debate about ‘locusts’ and corporate governance).
The logit model assumes the simpler logistic cumulative distribution that was also fitted but its discussion is here suppressed due to very similar results.
Clubs recently joining the Bundesliga have been assigned the lowest rank, i.e., 10.
All regressions were performed with SPSS Version 11.5 using ‘plum’.
Regressions were performed for stx j and sty j up to j = 5 and including all five, with the lowest relative standard error for the coefficient of the coach effect for j = 3 (i.e., the 3rd game) but remaining insignificant at usual levels. The logit specification yields identical results with respect to significance (Pseudo-R2s in the order of 0.10 are all alike, with probit showing a little better fit). A binary differentiation––lose, not lose––does not alter these conclusions either. Details are available upon request.
This incentive is well expressed by Michael Owen, a professional football player from the English Premier League: “It'll be another challenge now for all the lads to impress the new manager, whoever he may be. Even if he knows what you can do, you'll still have to convince him you should be in his plans.” (http://www.liverpoolfc.tv/news/archivedirs/features/2000/oct/F149010320-1904.htm also quoted in Höffler and Sliwka (2003)).
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Wirl, F., Sagmeister, S. Changing of the guards: New coaches in Austria’s premier football league. Empirica 35, 267–278 (2008). https://doi.org/10.1007/s10663-008-9063-6
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DOI: https://doi.org/10.1007/s10663-008-9063-6