Home » JEL Codes » M » M5

Category Archives: M5

For Love of the Game: A Study of Tournament Theory and Intrinsic Motivation in Dota 2

By YAO Shengjie

This paper studies the effect of intrinsic motivation on the extrinsic incentives specified by tournament structure in tournament theory in the context of e-sports. It incorporates tournament theory and motivation crowding theory in the same framework, something that past literature have hinted towards but never formally done so. It also uses an e-sports dataset, a type of dataset that few academics in the past have dealt with, but one that offers many interesting potentials. Results weakly show that crowding-in occurs in e-sports, but the effects of tournament structure on performance are inconclusive in the context of this paper. Implications of this paper lie mainly in the possibility for future academics to utilise e-sports data for research.

View Thesis

Advisors: Professor Grace Kim | JEL Codes: J31, J33, J41, M51, M52, Z20

Incentives to Quit in Men’s Professional Tennis: An Empirical Test of Tournament Theory

By Will Walker

This paper studies the influence of incentives on quitting behaviors in professional men’s tennis tournaments and offers broader implications to pay structures in the labor market. Precedent literature established that prize incentives and skill heterogeneity can impact player effort exertion. Prize incentives include prize money and indirect financial rewards (ranking points). Players may also exert less effort when there is a significant difference in skill between the match favorite and the match underdog. Results warrant three important conclusions. First, prize incentives (particularly prize money) do influence a player’s likelihood of quitting. Results on skill heterogeneity are less conclusive, though being the “match favorite” could reduce the odds of quitting. Finally, match underdogs and “unseeded” players may be especially susceptible to the influence of prize incentives when considering whether to quit.

View Thesis

View Data

Advisors: Peter Arcidiacono and Grace Kim | JEL Codes: J41, J31, J32, J33, M12, M51, M52

Gender Equality as a Result of Offering Employee Benefit Policies

By Meghan Mcaneny

In this study, I investigate the relationship between the percentage of women in leadership in a company and its employee benefits. This papeuses data on individual firms’ benefits such as paid parental leave, familial support, and flexibility arrangements. Using OLS, I conclude that benefits that shift familial burdens from women to men, specifically paid paternity leave, result in more women in leadershipThis creates an even playing field for women to be promoted as the company environment does not penalize women for using benefits. I also find a negative relationship between reimbursement for fertility procedures and women in leadership.

View Thesis

Advisor: Alison Hagy, Marjorie McElroy | JEL Codes: J22, J32, M51, M52 | Tagged: Employee Benefits, Women in Business Leadership, Work-Life Balance

Implications of Teacher Tenure on Teacher Quality and Student Performance in North Carolina

By Dana Fenster

This paper examines the relationship between teacher tenure and teacher quality in North Carolina, measured via student performance on the state End of Grade (EOG) standardized tests. After presenting a comprehensive synopsis of the current teacher tenure policy, I use data from the North Carolina Education Research Data Center (NCERDC) to compare demonstrated teacher effectiveness across the tenure bubble, defined as one to eight years of teaching experience within the same district. Ultimately, I find that there is significant jump in average teacher quality at the tenure cutoff, suggesting that tenure policy is effective in retaining high quality teachers while removing those who are ineffective.

Honors Thesis

Advisor: Hugh Macartney | JEL Codes: I21, J24, J41, M5 | Tagged: Economics of Education, Labor Economics, Teacher Tenure

Questions?

Undergraduate Program Assistant
Matthew Eggleston
dus_asst@econ.duke.edu

Director of the Honors Program
Michelle P. Connolly
michelle.connolly@duke.edu