ON THE OPTIMAL REALIGNMENT OF A CONTEST: THE CASE OF COLLEGE FOOTBALL.
This article examines the relationship between demand and scheduling in college football. We first derive two different metrics for team quality, and then use those metrics to see how they impact attendance. We find that there is a positive interaction between the quality of the teams. Then various...
| Publicado en: | Economic Inquiry Vol. 56; no. 1; pp. 483 - 497 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Wiley-Blackwell
Jan2018
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=126419568&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 126419568 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00952583 EIQ jtl: Economic Inquiry issn: 00952583 maglogo: Y pubinfo: dt: Jan2018 vid: 56 iid: 1 pid: 480 pub: Wiley-Blackwell artinfo: ui: 126419568 10.1111/ecin.12493 ppf: 483 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P size: 171KB tig: atl: ON THE OPTIMAL REALIGNMENT OF A CONTEST: THE CASE OF COLLEGE FOOTBALL. aug: au: Szymanski, Stefan Winfree, Jason affil: Professor, School of Kinesiology, University of Michigan, Ann Arbor, MI, 48109. Associate Professor, Agricultural Economics and Rural Sociology, University of Idaho, Moscow, ID, 83844. su: College football Scheduling Football teams Simulation methods & models Sports teams sug: subj: Sports Teams and Clubs All Other Amusement and Recreation Industries College football Scheduling Football teams Simulation methods & models Sports teams ab: This article examines the relationship between demand and scheduling in college football. We first derive two different metrics for team quality, and then use those metrics to see how they impact attendance. We find that there is a positive interaction between the quality of the teams. Then various simulations are run to see how attendance would change under different scheduling scenarios. If teams are put into conferences based on the team quality measures, the average per game attendance only rises 1-2%. This is true if 1-year or 10-year quality measures are used. However, our simulation suggests that this effect would be more than offset, mainly because schools with larger capacity would play fewer home games and so aggregate attendance would fall. We discuss whether this effect would be mitigated by capacity adjustments in the longer term. ( JEL L83, Z20, C78) pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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