Honors Theses

Date of Award

2014

Document Type

Undergraduate Thesis

Department

Economics

First Advisor

Joshua Hendrickson

Relational Format

Dissertation/Thesis

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.

Accessibility Status

Searchable text

Included in

Economics Commons

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