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Travel Costs in the NBA Production Function

Author

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  • Andrew W. Nutting

    (College of Business and Economics, University of Idaho, Moscow, anutting@uidaho.edu)

Abstract

This article empirically determines whether travel factors affect National Basketball Association (NBA) teams’ production of wins, offense, and defense. Distance traveled has little impact on win production. Teams with fewer days since their last game produce fewer wins, with an especially large effect for visiting teams in the first half of the season. Game frequency costs accrue in the second half of the season, significantly hurting visiting teams’ win production. In the second half of seasons, win production increases when teams play in time zones to the east and decreases in time zones to the west of their home time zone.

Suggested Citation

  • Andrew W. Nutting, 2010. "Travel Costs in the NBA Production Function," Journal of Sports Economics, , vol. 11(5), pages 533-548, October.
  • Handle: RePEc:sae:jospec:v:11:y:2010:i:5:p:533-548
    DOI: 10.1177/1527002509355637
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    References listed on IDEAS

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    7. KimMarie McGoldrick & Lisa Voeks, 2005. "“We Got Game!â€," Journal of Sports Economics, , vol. 6(1), pages 5-23, February.
    8. Young Hoon Lee & David Berri, 2008. "A Re‐Examination Of Production Functions And Efficiency Estimates For The National Basketball Association," Scottish Journal of Political Economy, Scottish Economic Society, vol. 55(1), pages 51-66, February.
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    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Stefano Cabras & Marco Delogu & J.D. Tena, 2023. "Forced to play too many matches? A deep-learning assessment of crowded schedule," Applied Economics, Taylor & Francis Journals, vol. 55(52), pages 6187-6204, November.
    2. Andrew W. Nutting, 2013. "Immediate Effects of On-The-Job Training and Its Intensity," Journal of Sports Economics, , vol. 14(3), pages 303-320, June.
    3. Seungwhan Chun & Sang Soo Park, 2021. "Home Advantage in Skeleton: Familiarity versus Crowd Support," Journal of Sports Economics, , vol. 22(1), pages 3-26, January.
    4. Yung-Chin Chiu & Chen-Kang Chang, 2022. "Major League Baseball during the COVID-19 pandemic: does a lack of spectators affect home advantage?," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-6, December.
    5. Yoon Tae Sung & Scott Tainsky, 2014. "The National Football League Wagering Market," Journal of Sports Economics, , vol. 15(4), pages 365-384, August.
    6. Andrew W. Nutting & Joseph Price, 2017. "Time Zones, Game Start Times, and Team Performance," Journal of Sports Economics, , vol. 18(5), pages 471-478, June.
    7. Christopher J. Boudreaux & Shane D. Sanders & Bhavneet Walia, 2017. "A Natural Experiment to Determine the Crowd Effect Upon Home Court Advantage," Journal of Sports Economics, , vol. 18(7), pages 737-749, October.

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    More about this item

    Keywords

    L83 - sports; J24 - Labor Productivity; D24 - Production;
    All these keywords.

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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