Rust, Daniel (2014) An Analysis of New Performance Metrics in the NBA and Their Effects on Win Production and Salary. Undergraduate thesis, under the direction of Joshua Hendrickson from Economics, University of Mississippi.
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Abstract
In this study I perform statistical analysis on new metrics in the NBA designed to expose information about the inputs of basketball production. These input data were collected manually for every NBA player in the 2012-13 season, along with common advanced statistics. With these new metrics regression analysis is used to separately determine their effects on existing win production metrics and salary. In this analysis I control for team and position effects. Once these effects were determined, I was able to compare them and look for specific skills or strategies that may be undervalued or overvalued by NBA teams relative to their impact on producing wins. Offensive rebounding (ORB%) and usage rate (USG%) are found to be undervalued and overvalued, respectively. Teams generally allocated salary consistent with the effects identified by the input data from Synergy. Nonetheless further study, chiefly expanding the sample and controlling for individual heterogeneity among players, needs to be conducted.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Creators: | Rust, Daniel |
| Student's Degree Program(s): | B.A. in Economics |
| Thesis Advisor: | Joshua Hendrickson |
| Thesis Advisor's Department: | Economics |
| Institution: | University of Mississippi |
| Subjects: | H Social Sciences > HA Statistics H Social Sciences > HB Economic Theory |
| Depositing User: | Daniel Rust |
| Date Deposited: | 09 May 2014 15:05 |
| Last Modified: | 09 May 2014 15:05 |
| URI: | http://thesis.honors.olemiss.edu/id/eprint/137 |
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