Who Sponsors Whom and Why? An Empirical Investigation of Sports Sponsorships

Abstract

This paper applies a two-sided matching model to investigate the formations of sports sponsorships using a dataset containing the shirt sponsorships from 43 English football clubs during the period from 1990 to 2010. We find that sponsorships become less valuable as the distance between the club and the sponsor’s head office grows and that better-performing clubs can attract more distant sponsors. In addition, there is an assortative matching between a club’s attendance and a sponsor’s revenue. Based on the estimates from the two-sided matching model, we simulate the counterfactual matching outcomes if sponsorships on alcohol and gambling are banned. Our estimates suggest that such bans will not have the biggest impact on the (relatively successful) clubs that currently have alcohol and gambling sponsors. Instead, it is clubs with low attendance and clubs in low income, less populated areas will be most affected.

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