{"id":{"repo_id":"arkansas","oai_identifier":"oai:scholarworks.uark.edu:etd-2130"},"canonical_url":"https://search.dev.ndltd.org/etd/arkansas/oai:scholarworks.uark.edu:etd-2130","repository":{"repo_id":"arkansas","name":"University of Arkansas","base_url":"https://scholarworks.uark.edu/do/oai/"},"display":{"title":"MLB Franchises & Predictors of Valuation","abstract":"<p>There have been many studies done, for MLB, regarding multiple economic factors, yet there is previous research done to investigate the predictors a team's valuation. This study aims to investigate what, if any, of certain predictor variables effect the valuation of an MLB franchise over a five year span, beginning in 2008. The study includes 29 MLB franchises and looks at secondary fiscal and performance data throughout the five year span. The results of a regression analysis concluded that three predictor variables, market size, average ticket price, and salary expense, were significant indicators of valuation while the remainder of the variables were not significant predictors.</p>","abstract_html":"&lt;p&gt;There have been many studies done, for MLB, regarding multiple economic factors, yet there is previous research done to investigate the predictors a team&#x27;s valuation. This study aims to investigate what, if any, of certain predictor variables effect the valuation of an MLB franchise over a five year span, beginning in 2008. The study includes 29 MLB franchises and looks at secondary fiscal and performance data throughout the five year span. The results of a regression analysis concluded that three predictor variables, market size, average ticket price, and salary expense, were significant indicators of valuation while the remainder of the variables were not significant predictors.&lt;/p&gt;","abstract_has_math":false,"creators":["Willett, Danielle Marie"],"institution":null,"degree_name":"Master of Education in Recreation and Sport Management (MEd)","degree_level":"Thesis","degree_discipline":null,"degree_department":null,"school":null,"contributors":["Eddy, Terence W.","Hamilton, Clayton"],"advisors":["Dittmore, Stephen W."],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-05-01T07:00:00Z","date_published":"2015-05-01T07:00:00Z","updated_at":"2026-07-24T00:59:58Z","subjects":["Social sciences","Baseball","Sport franchises","Valuation predictors","Sports Management"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://scholarworks.uark.edu/etd/1131","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Eddy, Terence W.","Hamilton, Clayton"]},{"key":"dc:contributor.advisor","label":"Advisor","values":["Dittmore, Stephen W."]},{"key":"dc:creator","label":"Author","values":["Willett, Danielle Marie"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2017-09-29T07:00:00Z"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Education in Recreation and Sport Management (MEd)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Social sciences","Baseball","Sport franchises","Valuation predictors","Sports Management"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholarworks.uark.edu/etd/1131"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["<p>There have been many studies done, for MLB, regarding multiple economic factors, yet there is previous research done to investigate the predictors a team's valuation. This study aims to investigate what, if any, of certain predictor variables effect the valuation of an MLB franchise over a five year span, beginning in 2008. The study includes 29 MLB franchises and looks at secondary fiscal and performance data throughout the five year span. The results of a regression analysis concluded that three predictor variables, market size, average ticket price, and salary expense, were significant indicators of valuation while the remainder of the variables were not significant predictors.</p>"]},{"key":"dc:title","label":"Title","values":["MLB Franchises & Predictors of Valuation"]}]}],"canonical_facts":{"dc:contributor":["Eddy, Terence W.","Hamilton, Clayton"],"dc:contributor.advisor":["Dittmore, Stephen W."],"dc:creator":["Willett, Danielle Marie"],"dc:date":["2015"],"dc:date.available":["2017-09-29T07:00:00Z"],"dc:description.abstract":["<p>There have been many studies done, for MLB, regarding multiple economic factors, yet there is previous research done to investigate the predictors a team's valuation. This study aims to investigate what, if any, of certain predictor variables effect the valuation of an MLB franchise over a five year span, beginning in 2008. The study includes 29 MLB franchises and looks at secondary fiscal and performance data throughout the five year span. The results of a regression analysis concluded that three predictor variables, market size, average ticket price, and salary expense, were significant indicators of valuation while the remainder of the variables were not significant predictors.</p>"],"dc:identifier":["https://scholarworks.uark.edu/etd/1131"],"dc:subject":["Social sciences","Baseball","Sport franchises","Valuation predictors","Sports Management"],"dc:title":["MLB Franchises & Predictors of Valuation"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["Master of Education in Recreation and Sport Management (MEd)"]},"updated_at":"2026-07-24T00:59:58Z"}