This thesis is an investigation of the affects illicit behaviors have on player salaries in the National Football League (NFL). Illicit behaviors include criminal arrests and convictions, and acts fine-able by the NFL. Previous studies in this area have been limited and with the exception of a few have focused on salary determinants which did not include behavior. Further extensive research has been conducted on the affect criminal behavior has on income and entry into the American labor market. An Ordinary Least Squares (OLS) model is used to explore different offensive positions and the role illicit behaviors play in salary determination. The regression t-values show varying results for different positions based on varying illicit acts. Despite the few instances where salary is affected at better than the 10% level, the evidence points to limited economic repercussions for players who commit illicit acts.
This thesis has the purpose of improving upon the study of behavior and its impact on the payment of NFL players. Previous studies have laid the groundwork for investigating this topic and this paper continues to delve into the subject. An Ordinary Least Squares (OLS) was used to analyze the data concerning salary determinants with a focus on illicit behavior. The adjusted models were met with mixed results and suggest that behavior may only have a mild impact on salary, if at all.