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The future development of world records

Author

Listed:
  • Franziska K. Kruse

    (Chair for Economic Policy, University of Hamburg)

  • Wolfgang Maennig

    (Chair for Economic Policy, University of Hamburg)

Abstract

We conduct an innovative analysis of sporting world records by a) using economic instead of sporting determinants and b) by using multivariate stochastic frontier functions. Using data from 48 different disciplines between 1970 and 2014, we show that world records are close to full efficiency and therefore actual athletic frontiers. Forecasts including economic determinants imply that the dynamics of world records largely depend on the dynamics of the frontiers and their driving forces, i.e., socio-economic developments.

Suggested Citation

  • Franziska K. Kruse & Wolfgang Maennig, 2017. "The future development of world records," Working Papers 061, Chair for Economic Policy, University of Hamburg.
    • Handle: RePEc:hce:wpaper:061
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    File URL: http://www.hced.uni-hamburg.de/WorkingPapers/HCED-061.pdf
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    References listed on IDEAS

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    Cited by:

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    2. Steffen Q. Mueller, 2020. "Pre- and within-season attendance forecasting in Major League Baseball: a random forest approach," Applied Economics, Taylor & Francis Journals, vol. 52(41), pages 4512-4528, September.
    3. Wolfgang Maennig & Stefan Wilhelm, 2023. "Crime Prevention Effects of Data Retention Policies," Working Papers 074, Chair for Economic Policy, University of Hamburg.
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    7. Wolfgang Maennig, 2023. "Centralization in National High-Performance Sports Systems: Reasons, Processes, Dimensions, Characteristics, and Open Questions," Working Papers 073, Chair for Economic Policy, University of Hamburg.

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    More about this item

    Keywords

    World records; productivity growth; stochastic frontier function; technical efficiency;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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