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      Does Crowd Support Drive the Home Advantage in Professional Football? Evidence from German Ghost Games during the COVID-19 Pandemic

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      Journal of Sports Economics
      SAGE Publications

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          Abstract

          This paper examines the relation between crowd support and home advantage in men’s professional football in making use of a unique “natural experiment” induced by restrictions due to the COVID-19 pandemic: the so-called ghost games in the top three German football divisions at the end of the 2019/2020 season. We find that there is a reduced home advantage in the first division, whereas no change is observed in the second and third divisions. Our regression analysis indicates that the decrease in the home advantage and the heterogeneity across divisions are not sensitive to a variety of performance, location, and team covariates and are best explained through the lower occupancy rate in the stadia. Hence, the decrease in occupancy to zero at the ghost games has been less dramatic for teams that have been used to low occupancy rates. We cannot find strong evidence for a change in referee behavior or teams’ tactics as main impact channels of occupancy rates on the home advantage. Hence, we argue that psychological reasons are of higher importance.

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          The influence of crowd noise and experience upon refereeing decisions in football

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            The Home Advantage In Sport Competitions: A Literature Review

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              Favoritism Under Social Pressure

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Journal of Sports Economics
                Journal of Sports Economics
                SAGE Publications
                1527-0025
                1552-7794
                July 08 2021
                : 152700252110265
                Affiliations
                [1 ]DICE, University of Düsseldorf, Düsseldorf, Germany
                Article
                10.1177/15270025211026552
                609e8383-deb2-4ead-aea0-e9c04445e3d6
                © 2021

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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