A Discrete-Choice Model of a College Football Recruitâ€™s Program Selection Decision
McDonald Paul Mirabile and
Mark Witte ()
Journal of Sports Economics, 2017, vol. 18, issue 3, 211-238
We formalize a discrete-choice model of program selection from the view of college football recruits. With a conditional logit model, we correctly predict the recruitâ€™s preferred college for 65% of the 19,815 individuals, besting a purely random guess method (21%). We focus on the role football will play in postcollegiate careers of high-rated, mid-rated, and low-rated prospects in choosing a school. High-rated and mid-rated recruits value historical on-the-field success, historical head coach success, stadium capacity, media exposure, facilities, and coaching expenditures. Academic considerations and more recent on-the-field success, however, are more dominant factors for low-rated recruits.
Keywords: college; football; recruiting; career expectations; conditional logit (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:sae:jospec:v:18:y:2017:i:3:p:211-238
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