- Consulting Editors
- The Oxford Handbook of Sports Economics
- Preface to Volume Two: Economics Through Sports
- Prejudice and Progress in Baseball: Lessons on the Economics of Race and Discrimination
- The Economics of Discrimination: Evidence from Basketball
- Gender and Discrimination in Professional Golf
- The Economics of Discrimination: Evidence from Hockey
- The Production Technology of Major League Baseball
- Measuring Performance in the National Basketball Association
- Frontier Models and Their Application to the Sports Industry
- Age and Performance Under Pressure: Golfers on the LPGA Tour
- Salary Dispersion and Team Production: Evidence From the National Hockey League
- Travel and Population Issues in Modeling Attendance Demand
- Demand, Attendance, and Censoring: Utilization Rates in the National Football League
- Demand for Attendance: Price Measurement
- Major League Baseball is Just Like Mcdonald's?: Lessons from Unrecognized Rival Leagues
- The Market Structure of Professional Sports and the Implications for Stadium Construction and Team Movements
- Location, Location, Location?: Sports Franchise Placement in the Four Major U.S. Sports Leagues
- Event Analysis
- Behavioral Biases and Sportsbook Pricing in Major League Baseball
- Multiplier Effects and Local Economic Impact
- Contingent Valuation of Sports
- The Economics of Crime Reconsidered: A Game Theoretic Approach with an Empirical Test from Major League Baseball
- Illustrations of Price Discrimination in Baseball
- Contest Theory and its Applications in Sports
- Tournament Incentives in Professional Bowling
Abstract and Keywords
This article explores the several empirical attempts to quantify the productivity of National Basketball Association (NBA) players, and argues that models should be judged both on the consistency of the measures through time and on the correlation with winning percentages. The scoring models have a good job of explaining player salary. It also appears to be quite consistent over time. The plus-minus approach can explain wins. Wins Produced and Win Shares seem to trump the scoring models or the plus-minus models. Although research in basketball is not without its challenges, the performance metrics the researcher can employ in basketball might be the best player data available in the study of professional team sports.
David J. Berri, Department Of Economics Finance, Southern Utah University.
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