Measuring competitive balance in Formula One racing

Budzinski, Oliver; Feddersen, Arne

doi:10.4337/9781839102172.00006

Cited by 7 publications

(5 citation statements)

References 22 publications

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“…First of all, it should be emphasized that the human factor in the form of individual drivers is a significant determinant of championship place (Depken et al, 2018). This conclusion is in agreement with Budzinski and Feddersen (2020) and Castellucci et al (2011) who also observed performance differences between drivers.…”

Section: Discussionsupporting

confidence: 92%

“…It is therefore important to answer whether there is a correlation between the level of pay and the performance of the drivers. Previous studies show a weak correlation (Budzinski & Feddersen, 2020;Raconteur Publishing, 2016). However, it may be due to a correlation between team budget and drivers' salaries.…”

Section: Fixed Costsmentioning

confidence: 92%

“…The authors use the data envelopment analysis method, whereas Mourão (2017) uses the CBA method as used in this paper. Budzinski and Feddersen (2020) focus on the question of competitive balance in Formula One, that is, they examine what individual differences in drivers' competitiveness are. For their investigation, they use three time frames, one race, one season, and a sample of all seasons from 1950 to 2010.…”

Section: Literaturementioning

confidence: 99%

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The key importance of spending on research and development in Formula One

Loník,

Kotrba

2023

Manage Decis Econ

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This paper analyzes the impact of budget strategy on Formula One team success in the World Constructors Championship using data from 11 seasons (2010–2020) before the budget cap. It demonstrates that budget strategy positively affects standings, points, podium finishes, and race completion. The motivation to achieve better results is explained through success‐related returns. Cost–benefit analysis and regression models were employed, revealing a significant influence of budget strategy on team success. Investing in research and development emerges as the most effective approach to enhance the success rate.

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Section: Discussionsupporting

confidence: 92%

Section: Fixed Costsmentioning

confidence: 92%

Section: Literaturementioning

confidence: 99%

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The key importance of spending on research and development in Formula One

Loník,

Kotrba

2023

Manage Decis Econ

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“…Despite the sports' global appeal, the empirical literature on F1 racing is relatively sparse, particularly when it comes to modeling consumer (tv) interest. More precisely, despite the existence of a handful of empirical studies assessing the competitive balance, and therefore an integral aspect of Rottenberg's (1956) original demand equation, in F1 racing (e.g., Budzinski andFeddersen, 2020;Judde et al, 2013;Mastromarco & Runkel, 2009), none of these studies also explored an association with consumer demand. Similarly, Rockerbie and Easton (2021), although interested in estimating the specific driver effects in F1 racing, limit their analysis to an evaluation of sporting performances, as have others (e.g., Bell et al, 2016;Eichenberger & Stadelmann, 2009;Philips, 2014).…”

Section: A Brief Synthesis Of the Empirical Literature On F1 Racingmentioning

confidence: 99%

Formula 1 Grands Prix demand across different distribution channels

Baecker

Ansari

Schreyer

2022

Managing Sport and Leisure

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Rationale: Over the last two decades, sports economists and management scholars alike have increasingly begun modeling the tv demand for professional sports, most notably association football. However, there as yet exists no empirical study on whether the observed mechanisms are robust across different distribution channels.Design/methodology/approach: In this study, we add to this still-emerging literature stream by analyzing the robustness of otherwise well-explored determinants of tv demand across different distribution channels (free-to-air and pay-tv), also distinguishing between male and female tv audiences.Findings/research contribution: Interestingly, exploring the German tv demand for F1 racing at two different tv channels holding non-exclusive media rights between 2011 and 2017, we note that the effects of most (e.g., the starting time, weather), though not all, determinants are robust across the two different channels and the two audience groups.Practical implications: Our results thus suggest that media right holders interested in maximizing television audience demand for a sport broadcast are well-advised to add nuance to their communication efforts.

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“…In past research, different methods have been suggested to measure uncertainty for both, different types of uncertainty and different sports. The general focus has been on team sports and the literature regarding uncertainty in individual sports is relatively limited (Berkowitz et al, 2011; Budzinski & Feddersen, 2020; Chaplin et al, 2017). Although there are several papers discussing competition and uncertainty in tennis (del Corral, 2009; Du Bois & Heyndels, 2007; Gomez-Gonzalez & del Corral, 2020), to our knowledge, there are only two studies discussing match-level uncertainty in professional tennis (del Corral, 2009; Du Bois & Heyndels, 2007).…”

Section: Introductionmentioning

confidence: 99%

Match-Level Uncertainty in Professional Tennis Revisited—A Novel Approach Applied for the Time Between 2010 and 2019

Özaydın,

Könecke

2024

Journal of Sports Economics

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Despite its popularity, outcome uncertainty in professional tennis did not receive much attention from academics in the recent past. This is astonishing because it should be of utmost importance in professional tennis in the following years with the approaching end of the era of the Big 3. This study investigates match-level uncertainty in professional women's and men's tennis between 2010 and 2019 using a logit model with a dataset consisting of 51,054 matches. In the different analyses, the variations in the ranking and quality differences between players are taken into account in addition to differences across surfaces, tournaments, and genders. In the investigated period, women's tennis has relatively higher outcome uncertainty when compared to men's. The results also illustrate that talent seems to be distributed more evenly in women's tennis, whereas men's tennis has high heterogeneity in terms of talent. Moreover, very specific subgroups of matches having the highest and lowest uncertainty in men's and women's tennis are identified. Managerial implications are also presented to show how organizers, policy makers and, eventually, fans can benefit from the insights presented in this study.

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Measuring competitive balance in Formula One racing

Cited by 7 publications

References 22 publications

The key importance of spending on research and development in Formula One

The key importance of spending on research and development in Formula One

Formula 1 Grands Prix demand across different distribution channels

Match-Level Uncertainty in Professional Tennis Revisited—A Novel Approach Applied for the Time Between 2010 and 2019

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