Award/Availability

Honors Program Thesis (UNI Access Only)

First Advisor

Bryce Kanago

Keywords

Basketball attendance--Statistical methods; National Basketball Association;

Abstract

I explore which characteristics of NBA teams are significant determinants of average annual attendance by team for the 1990-91 to 2014-15 seasons. I use regression analysis to investigate which characteristics determine demand for attendance. My panel data includes independent variables measuring each team’s success, its playing style, level of “star power,” local price of NFL ticket prices, home city population, real income per person, and the local unemployment rate.

My paper employs a two-stage regression model to address the endogeneity of ticket prices. The data used in the model spans twenty-five of the most recent NBA seasons. This is a longer range of data and includes more recent data than previously studied. In addition, a city, or in some cases a regional, consumer price index is employed to convert monetary figures into real terms. In past research, only a national consumer price index was used. My paper also considers variables not used in past research. For example, I consider the total number of all-stars on a team to account for “star-power,” and the unemployment rate of each team’s home city. By determining which variables are significant and the direction and magnitude of their impact on a team’s annual attendance, the results may be used to predict future NBA attendance figures, analyze how different teams can improve attendance and revenues, and identify what other cities are the best candidates for attracting new NBA teams.

Keywords: Instrumental Variables, National Basketball Association, Attendance

Date of Award

2016

Department

Department of Economics

University Honors Designation

A thesis submitted in partial fulfillment of the requirements for the designation University Honors

Date Original

5-2016

Object Description

1 PDF file (27 pages)

Language

EN

File Format

application/pdf

Available for download on Sunday, June 10, 2018

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