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Abstract
This thesis investigates the economic value a basketball superstar contributes to their franchise in the National Basketball Association (NBA) over a three-season span (2021-2024), using multivariable regressions to examine how several independent variables affect the dependent variable-revenue. A key feature of the analysis is the incorporation of a lagged variable, superstar lagged, which assesses the impact of having superstars the season prior on revenue. The results suggest that superstars do not have a statistically significant effect on revenue, and other variables, including revenue from seasons prior, market size, and ticket price, have a more substantial impact on revenue.