| 书目名称 | Frontiers in Major League Baseball | | 副标题 | Nonparametric Analys | | 编辑 | John Ruggiero | | 视频video | | | 概述 | Addresses current issues in baseball including steroid use and labor market outcomes.Provides a thorough theoretical treatment of data envelopment analysis with a specific application to Major League | | 丛书名称 | Sports Economics, Management and Policy | | 图书封面 |  | | 描述 | This book focuses on the application of Data Envelopment Analysis (DEA) to Major League Baseball (MLB).DEA is a nonparametric linear programming model that is used across academic disciplines. In sports economics, authors have applied the technique primarily to assess team and/or managerial efficiency. The basis for performance analysis is economic production theory, where it is assumed that baseball can be viewed as a production process whereby inputs (player quality measures) are transformed into outputs (wins, attendance).The primary advantage that DEA has over more traditional regression based approaches is the ability to handle multiple inputs and multiple outputs.Further, the approach is nonparametric and hence, does not require a priori specification of the production function.The book develops the theory of DEA in the context of a production environment.A focal point is the assessment of technical and cost efficiency of MLB teams.It is shown that previous frontier applications that measure efficiency provide biased results given that the outcome of a game is zero-sum.If a team loses a game due to inefficiency, another team wins a lost game.A corrected frontier is presented | | 出版日期 | Book 20111st edition | | 关键词 | Baseball; DEA; Performance Analysis; Player Rankings; Production Economics; Sports Labor Market | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4419-0831-5 | | isbn_softcover | 978-1-4614-2734-6 | | isbn_ebook | 978-1-4419-0831-5Series ISSN 2191-298X Series E-ISSN 2191-2998 | | issn_series | 2191-298X | | copyright | Springer Science+Business Media, LLC 2011 |
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发表于 2025-3-21 17:33:45
