Browsing by Subject "endogenous switching regression model"
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Item Do Managers Matter : Evidence from E-sports(Western Economic Association International, 2019-08-12) Coates, Dennis; Parshakov, Petr; Paklina, SofiaGrowing importance of human resources places the role of managers at the core of company efficiency. However, there are studies that demonstrate the efficiency of teams without a manager, so-called self-managed teams, is higher comparing with managed teams. Thus, despite the focus on managerial efficiency in the economic literature, the issue of whether a team needs a manager is far from settled. In this paper, we use a quasi-experimental setting from eSports (competitive video gaming) to understand whether the hiring a manager is of benefit to team performance. The empirical part of the study is based an endogenous switching regression model. This method allows investigating what performance of self-managed team would be if it will have a manager and vice versa. The dataset includes the information of prize money and features of top e-Sports teams in Counter-Strike: Global Offensive (e-Sports discipline) from 2013 to 2017. The main finding of this study is that managed teams perform better than self-managed ones but this is not due to the manager.