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This study considers the importance of location for new and relocated major league franchises in the more than 130 years since the National League was founded. Included are an analysis of market differences and similarities, team performances and demographics and area economic comparisons. Market data are used to predict future expansions and relocations of major league teams.
This research proposed a set of measures of Competitive Balance which aims to address three dimensions of Competitive Balance: Closeness, Dominance and Consistency. Longitudinal MLB data is used for empirical evaluation purpose. The matched pair of teams is used as the basic research object in this study, and the growth model is applied to analyze the relationship between game attendances and the proposed measures of Competitive Balance. Research confirmed that Competitive Balance is multidimensional, and not every dimension of Competitive Balance is correlated with game attendance. Fans prefer changes, and they are not attracted by consecutive wins or losses. Rather fans are more like to go to games that can potentially affect teams0́9 standings in their divisions or league. Fans show no specific preferences to upset games.
Why would a Japanese millionaire want to buy the Seattle Mariners baseball team, when he has admitted that he has never played in or even seen a baseball game? Cash is the answer: major league baseball, like professional football, basketball, and hockey, is now big business with the potential to bring millions of dollars in profits to owners. Not very long ago, however, buying a sports franchise was a hazardous investment risked only by die-hard fans wealthy enough to lose parts of fortunes made in other businesses. What forces have changed team ownership from sports-fan folly to big-business savvy? Why has The Wall Street Journal become popular reading in pro sports locker rooms? And why are sports pages now dominated by economic clashes between owners and players, cities with franchises and cities without them, leagues and players' unions, and team lawyers and players' lawyers? In answering these questions, James Quirk and Rodney Fort have written the most complete book on the business and economics of professional sports, past and present. Pay Dirt offers a wealth of information and analysis on the reserve clause, salary determination, competitive balance in sports leagues, the market for franchises, tax sheltering, arenas and stadiums, and rival leagues. The authors present an abundance of historical material, much of it new, including team ownership histories and data on attendance, TV revenue, stadium and arena contracts, and revenues and costs. League histories, team statistics, stories about players and owners, and sports lore of all kinds embellish the work. Quirk and Fort are writing for anyone interested in sports in the 1990s: players, players' agents, general managers, sportswriters, and, most of all, sports fans.
Some issues include Minutes of the annual convention.
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 to overcome this problem. Free agent salary arbitration is analyzed using a dual DEA model. Each free agent's contract zone is identified. The upper and lower bounds, representing the player's and team's perspective of value, respectively, are estimated. Player performance is estimated using a modified DEA model to rank order players based on multiple attributes. This model will be used to evaluate current Hall of Fame players. We provide arguments for other players who are deserving of membership. We also use our measure of performance and evaluate age-performance profilers for many ball players. Regression analysis is used to identify the age of peak performance. The method is used to evaluate some of the all-time greats. We also use the method to analyze admitted and implicated steroid users. The results clearly show that performance was enhanced. This book will provide appropriate theoretical models with methodological considerations and interesting empirical analyses and is intended to serve academics and practitioners interested in applying DEA to baseball as well as other sports or production processes. >
Examines the many economic pressures exerted on professional baseball, and measures their effects both on the field and in the ticket office
This book is unique in that it offers the first truly rigorous application of economic principles to its subject. The authors analyse:* the economic literature on sporting leagues* the demand for professional team sports* the players' labour market.Amongst the topics discussed are the US system of franchising and draft picks and the chances of thei