Examination of National Basketball Association (NBA) team values based on dynamic linear mixed models.

In the last decade, NBA has grown into a billion-dollar industry where technology and advanced game plans play an essential role. Investors are interested in research examining the factors that can affect the team value. The aim of this research is to investigate the factors that affect the NBA team...

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Autor principal:	Efehan Ulas
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/260fcff55ab34591b2000053a905d68f
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spelling	oai:doaj.org-article:260fcff55ab34591b2000053a905d68f2021-12-02T20:10:29ZExamination of National Basketball Association (NBA) team values based on dynamic linear mixed models.1932-620310.1371/journal.pone.0253179https://doaj.org/article/260fcff55ab34591b2000053a905d68f2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0253179https://doaj.org/toc/1932-6203In the last decade, NBA has grown into a billion-dollar industry where technology and advanced game plans play an essential role. Investors are interested in research examining the factors that can affect the team value. The aim of this research is to investigate the factors that affect the NBA team values. The value of a team can be influenced not only by performance-based variables, but also by macroeconomic indicators and demographic statistics. Data, analyzed in this study, contains of game statistics, economic variables and demographic statistics of the 30 teams in the NBA for the 2013-2020 seasons. Firstly, Pearson correlation test was implemented in order to identify the related variables. NBA teams' characteristics and similarities were assessed with Machine Learning techniques (K-means and Hierarchical clustering). Secondly, Ordinary linear regression (OLS), fixed effect and random effect models were implemented in the statistical analyses. The models were compared based on Akaike Information Criterion (AIC). Fixed effect model with one lag was found the most effective model and our model produced consistently good results with the R2 statistics of 0.974. In the final model, we found that the significant determinants of team value at the NBA team level are revenue, GDP, championship, population and key player. In contrast, the total number of turnovers has a negative impact on team value. These findings would be beneficial to coaches and managers to improve their strategies to increase their teams' value.Efehan UlasPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 6, p e0253179 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Efehan Ulas Examination of National Basketball Association (NBA) team values based on dynamic linear mixed models.
description	In the last decade, NBA has grown into a billion-dollar industry where technology and advanced game plans play an essential role. Investors are interested in research examining the factors that can affect the team value. The aim of this research is to investigate the factors that affect the NBA team values. The value of a team can be influenced not only by performance-based variables, but also by macroeconomic indicators and demographic statistics. Data, analyzed in this study, contains of game statistics, economic variables and demographic statistics of the 30 teams in the NBA for the 2013-2020 seasons. Firstly, Pearson correlation test was implemented in order to identify the related variables. NBA teams' characteristics and similarities were assessed with Machine Learning techniques (K-means and Hierarchical clustering). Secondly, Ordinary linear regression (OLS), fixed effect and random effect models were implemented in the statistical analyses. The models were compared based on Akaike Information Criterion (AIC). Fixed effect model with one lag was found the most effective model and our model produced consistently good results with the R2 statistics of 0.974. In the final model, we found that the significant determinants of team value at the NBA team level are revenue, GDP, championship, population and key player. In contrast, the total number of turnovers has a negative impact on team value. These findings would be beneficial to coaches and managers to improve their strategies to increase their teams' value.
format	article
author	Efehan Ulas
author_facet	Efehan Ulas
author_sort	Efehan Ulas
title	Examination of National Basketball Association (NBA) team values based on dynamic linear mixed models.
title_short	Examination of National Basketball Association (NBA) team values based on dynamic linear mixed models.
title_full	Examination of National Basketball Association (NBA) team values based on dynamic linear mixed models.
title_fullStr	Examination of National Basketball Association (NBA) team values based on dynamic linear mixed models.
title_full_unstemmed	Examination of National Basketball Association (NBA) team values based on dynamic linear mixed models.
title_sort	examination of national basketball association (nba) team values based on dynamic linear mixed models.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/260fcff55ab34591b2000053a905d68f
work_keys_str_mv	AT efehanulas examinationofnationalbasketballassociationnbateamvaluesbasedondynamiclinearmixedmodels
_version_	1718374988951584768

Examination of National Basketball Association (NBA) team values based on dynamic linear mixed models.

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