SCORE TO WIN BIG By Ashley Nissenbaum. About the Authors David J Berri, PhD Associate Professor in...
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![Page 1: SCORE TO WIN BIG By Ashley Nissenbaum. About the Authors David J Berri, PhD Associate Professor in the Department of Economics Economics of Sports.](https://reader035.fdocuments.us/reader035/viewer/2022062423/56649ed25503460f94be172e/html5/thumbnails/1.jpg)
SCORE TO WIN BIG
By Ashley Nissenbaum
![Page 2: SCORE TO WIN BIG By Ashley Nissenbaum. About the Authors David J Berri, PhD Associate Professor in the Department of Economics Economics of Sports.](https://reader035.fdocuments.us/reader035/viewer/2022062423/56649ed25503460f94be172e/html5/thumbnails/2.jpg)
About the Authors
David J Berri, PhD Associate Professor in the Department of Economics Economics of Sports
Stacey L Brooke, PhD Associate professor in the Department of Economics Behavior of sports leagues and decision making in
professional sports Martin Schmidt, PhD
Associate professor in the Department of Economics Macroeconomics and economics of sports
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Instrumental Rationality
Douglass North (1994) “…Informational feedback process and
arbitraging actors will correct initially incorrect models…”
Abundance of information in sports and failure results in loss of revenues So why not follow instrumental
rationality???
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Straying from Instrumental Rationality
Moneyball On Base Percentage was undervalued by
decision makers “Go For It”
NFL coaches acted conservative while going for it on the 4th down
Draft Position in the NBA Slow to adapt to new information
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Lessons Learned
Lesson 1 Points scored dominates the evaluation of player
productivity in the NBA Lesson 2
Player productivity on the court creates team wins Lesson 3
Team wins drive team revenue Lesson 4
Team Payroll is not highly correlated with team wins Lesson 5
Player performance is relatively consistent across time Lesson 6
NBA efficiency is not about efficiency
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Examining the All Rookie Team 3 variables
Player Performance (NBA efficiency , Wins Produced and Points Scored)
Draft Position Number of Games Played
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Examining the All-Rookie Team
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Collection of Player Statistics
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Elasticity of Voting Points
Points scored has the largest impact on voting points
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A Test of Free Agents
Data from 255 players with multiyear contracts
Dependent variable – average real salary over contract life
Considered a number of non-performance factors: Injury (captured in number of games
played) Market size Player position Experience
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Estimated Coefficients
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Entire Vector of Player Statistics