Separately measuring home‐field advantage for offenses and defenses: A panel‐data study of constituent channels within collegiate American football

IF 1.8 4区 经济学 Q2 ECONOMICS
Matthew J. McMahon, Sarah Marx Quintanar
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引用次数: 0

Abstract

We improve constituent‐channel estimates of home‐field and neutral‐site advantage for collegiate American football's top division by utilizing a richer, 12‐season data set and by exploiting the COVID‐19 pandemic as a random shock. Novel to the literature, we separately examine points scored by each team, allowing us to identify impacts on each team's offense and defense individually. The information set provided by our model is a strict superset of that provided by the previous standard in the literature, making ours a strictly dominant modeling choice. We demonstrate this improvement theoretically and empirically. Physiologically, away‐team travel distance does not impact their own score, but it increases home‐team scores, consistent with the notion that defenses tire faster than offenses. There is also similar but limited evidence of this effect for neutral‐site teams. Time zones may play a minor role, too. Psychologically, crowd size and density hurt away‐team scores but do not impact home or neutral‐site teams. The away‐team effect disappears in 2020, however, indicating that the pre‐2020 effect is caused by the crowd's noise, not their mere presence. We also find that increasing stadium capacity while holding crowd size constant hurts home‐team scores, highlighting the importance of considering ticket demand when considering stadium expansion. Tactically, stadium familiarity helps offenses, not defenses, while team‐opponent familiarity has the opposite effect. Weather also plays a role. At median values for key variables, we find an overall home‐field advantage of 4.1 points.
分别衡量进攻方和防守方的主场优势:美式橄榄球大学生组成渠道的面板数据研究
我们利用更丰富的 12 个赛季的数据集,并利用 COVID-19 大流行病作为随机冲击,改进了对美式橄榄球顶级联赛主场优势和中立场地优势的成分渠道估计。与文献不同的是,我们对每支球队的得分进行了单独研究,从而可以识别出对每支球队进攻和防守的影响。我们的模型所提供的信息集是以往文献标准所提供信息集的严格超集,这使得我们的模型成为严格意义上的主导模型选择。我们从理论和经验上证明了这一改进。从生理学角度来看,客队的旅行距离不会影响本队的得分,但却会增加主队的得分,这与防守方比进攻方更容易疲劳的概念是一致的。中立场球队也有类似的影响,但证据有限。时区也可能起到微小的作用。从心理上讲,观众人数和密度会影响客队得分,但不会影响主队或中立场地队。然而,客队效应在 2020 年消失了,这表明 2020 年前的效应是由观众的噪音造成的,而不仅仅是他们的存在。我们还发现,在观众人数不变的情况下,增加体育场容量会损害主队得分,这突出了在考虑扩建体育场时考虑门票需求的重要性。在战术上,体育场的熟悉程度有助于进攻而非防守,而球队与对手的熟悉程度则会产生相反的效果。天气也有影响。在关键变量的中位值上,我们发现主场优势总体为 4.1 分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.20
自引率
5.30%
发文量
58
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