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A Study on the Relationship between Multi-Year Contract and Performance of NBA Players：An Application of DEA
Data Envelopment Analysis,Wilcoxon Signed Ranks Test,Sensitive Analysis,Tobit Regression,
|Publication Year :||2010|
The research is aimed to investigate whether a multiyear contract has an effect on a player's efficiency performance. 135 players are selected from 30 NBA teams during ten seasons, from 1999 to 2008. Data Envelopment Analysis (DEA), Sensitive analysis, and Tobit are used to study the player's performance. The system of the NBA multiyear contract is also introduced in the research. It is expected to give some advice to SBL in Taiwan.
The results are indicated as below. (1) the mean of Scale Technical Efficiency (SE) of the NBA player reaches to 0.99. It reveals that professional basketball players, in general, have above-average skills. (2) Based on descriptive statistics, after a player signs the contract, the mean of player’s Efficiency is lower. (3) According to Wilcoxon signed ranks test, Z value between before and after the contract signing is negative, but it is not significant. (4) From Sensitive analysis it shows that a player's points (the output item) and his free throw attempts (the input item) are the key factors. The output item has a bigger effect than the input item. (5) Tobit regression is applied to find out the factors that influence the player's performance. Game started or not, salary, and a team's win-loss percentage have a positive association with a player's efficiency performance. However, seniority and the period of renewing the contract have a negative association. This result corresponds to Wilcoxon signed ranks test. A Center's efficiency performance is the highest while a Forward's is definitely the lowest. In conclusion, a player indeed tries to reach his maximum performance before signing a multiyear contract. Nevertheless, after a player signs the contract, it is a question whether he deserves the salary.
|Appears in Collections:||農業經濟學系|
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