Institutional Scholarship

Signing Bonuses & Subsequent Productivity: Predicting Success in the MLB Draft

Show simple item record

dc.contributor.advisor Preston, Anne Elizabeth
dc.contributor.author Hubley, Bobby
dc.date.accessioned 2012-06-11T16:16:46Z
dc.date.available 2012-06-11T16:16:46Z
dc.date.issued 2012
dc.identifier.uri http://hdl.handle.net/10066/8212
dc.description.abstract This study examines the ability of Major League Baseball organizations to successfully value and project the future productivity of players selected in the amateur draft. To do so, the relationship between player valuations (i.e. signing bonuses) and future productivity is investigated. Productivity is measured using three different metrics: Wins-Above Replacement, the probability of making a Major League Appearance, and the probability of becoming an All-Star. The results suggest that holding constant round & placement in round, elevated draft pick compensation significantly influences the likelihood of making the Major Leagues, and to a much lesser extent, player productivity once there. A supplementary analysis reveals that while teams are somewhat successful in their attempts to project future productivity, they are not necessarily efficient in their allocation of signing bonus expenditures.
dc.description.sponsorship Haverford College. Department of Economics
dc.language.iso eng
dc.rights.uri http://creativecommons.org/licenses/by-nc/3.0/us/
dc.subject.lcsh Baseball draft -- United States
dc.subject.lcsh Baseball players -- Recruiting -- United States
dc.subject.lcsh Baseball players -- Rating of -- United States
dc.title Signing Bonuses & Subsequent Productivity: Predicting Success in the MLB Draft
dc.type Thesis
dc.rights.access Open Access


Files in this item

This item appears in the following Collection(s)

Show simple item record

http://creativecommons.org/licenses/by-nc/3.0/us/ Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc/3.0/us/

Search


Browse

My Account