2016
DOI: 10.1177/1527002514538639
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Heterogeneous Contestants and the Intensity of Tournaments

Abstract: We empirically investigate whether tournaments between heterogeneous contestants are less intense. To test our hypotheses, we use professional sports data from the TOYOTA Handball-Bundesliga, the major handball league in Germany. Based on sports betting odds, we estimate the differences in winning probabilities of the competing teams and find evidence for a negative impact of the matchup’s heterogeneity on the intensity of the game. The decrease is significant not only at the beginning but also toward the end … Show more

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Cited by 33 publications
(32 citation statements)
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“…To the best of our knowledge, there has been no empirical evidence so far concerning the impact of heterogeneity in the context of dismissals and our analysis reveals that this is a key factor determining the success of a replacement. Moreover, our results are consistent with recent findings from the empirical literature on asymmetric contests, which often finds a negative correlation between effort levels and the degree of heterogeneity of contestants (see, e.g., Berger and Nieken ; Brown ; Lynch ; Nieken and Stegh ; Orrison, Schotter, and Weigelt ; Schotter and Weigelt ; Sunde ).…”
Section: Introductionsupporting
confidence: 92%
“…To the best of our knowledge, there has been no empirical evidence so far concerning the impact of heterogeneity in the context of dismissals and our analysis reveals that this is a key factor determining the success of a replacement. Moreover, our results are consistent with recent findings from the empirical literature on asymmetric contests, which often finds a negative correlation between effort levels and the degree of heterogeneity of contestants (see, e.g., Berger and Nieken ; Brown ; Lynch ; Nieken and Stegh ; Orrison, Schotter, and Weigelt ; Schotter and Weigelt ; Sunde ).…”
Section: Introductionsupporting
confidence: 92%
“…Extensive research centers on different determinants of performance, success, or productivity of teams or individual athletes, but few focus explicitly on effort , mainly because of the difficulty of measuring something that “is [often] not directly observable by the principal or the audience (including the econometrician), which constitutes the major empirical problem for testing the incentive effect” (Sunde , 3200). Sports data provide manifold, extensive statistics, but the best method to measure effort is unclear (Berger and Nieken ), and many previously applied measures might not actually reflect it.…”
Section: Data and Descriptive Statisticsmentioning
confidence: 99%
“…Some studies argue that overall team effort can be derived from the intensity of a match, which can be approximated by the number of penalties a team receives due to fouls or other rule violations. Frick, Gürtler, and Prinz () use the number of penalty cards (yellow, yellow/red, and red) issued to each soccer team per match to assess match intensity and thus team effort; Berger and Nieken () similarly rely on the number of 2‐minute suspensions per handball match and team as a measure of “defensive effort.” Although they acknowledge that such efforts also could reflect sabotage activities, they relate positively to a team's winning probability. Therefore, these authors consider the number of 2‐minute suspensions as a good proxy for the intensity of a team's play.…”
Section: Data and Descriptive Statisticsmentioning
confidence: 99%
“…They find that favored teams tend to engage in fair actions (fair tackles), whereas underdogs are more prone to rely on sabotage behavior (fouls). For hockey (Berger and Nieken, ) and handball (Nieken and Stegh, ) heterogeneity has been confirmed to decrease fouls and therefore penalties.…”
Section: Literature Review: Empirical Evidence On Sabotagementioning
confidence: 99%