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Category Archives: M52

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.

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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.

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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.

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

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