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Surviving in the shadows—An economic and empirical discussion about the survival of the non-winning F1 drivers

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  • Mourao, Paulo Reis

Abstract

F1 drivers are the (most) visible faces of a F1 team’s performance. Good performances ensure a lengthier contract between drivers and teams. Reversely, humble performances may jeopardize the renewal of drivers’ contracts to their teams. This paper will study the capacity of F1 drivers surviving professionally in competition. Considering two major samples of drivers (without points or without victories) and two types of ‘exits’ (exiting the team or exiting the F1 competition), various regressions of Cox survival models and of parametric regressions have been obtained. The main results suggest that recent worse standings results, higher ages and a higher number of withdrawals contribute to the shortening of F1 careers. It has also been observed that the early decades of competition were not known for providing a higher number of races for drivers. Reversely, adding podium positions (even without winning) ensures a longer professional life in F1.

Suggested Citation

  • Mourao, Paulo Reis, 2018. "Surviving in the shadows—An economic and empirical discussion about the survival of the non-winning F1 drivers," Economic Analysis and Policy, Elsevier, vol. 59(C), pages 54-68.
    • Handle: RePEc:eee:ecanpo:v:59:y:2018:i:c:p:54-68
    DOI: 10.1016/j.eap.2018.04.001
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    Cited by:

    1. Schöber, Timo & Stadtmann, Georg & Parshakov, Petr, 2021. "Survival of professional CS:GO teams: What matters? A research note," Discussion Papers 425, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    2. Onur Burak Celik, 2020. "Survival of Formula One Drivers," Social Science Quarterly, Southwestern Social Science Association, vol. 101(4), pages 1271-1281, July.
    3. Oliver Budzinski & Arne Feddersen, 2020. "Measuring competitive balance in Formula One racing," Chapters, in: Plácido Rodríguez & Stefan Kesenne & Brad R. Humphreys (ed.), Outcome Uncertainty in Sporting Events, chapter 1, pages 5-26, Edward Elgar Publishing.

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    More about this item

    Keywords

    Survival models; Formula one; Motorsports;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation

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