DP16475 Networks and Manager Pay: Evidence from Time-Varying Exogenous Metrics
|Author(s):||Sharmin Sazedj, José Tavares|
|Publication Date:||August 2021|
|Keyword(s):||Manager Pay, networks, productivity, Rent extraction|
|JEL(s):||J24, J30, L14|
|Programme Areas:||Organizational Economics|
|Link to this Page:||cepr.org/active/publications/discussion_papers/dp.php?dpno=16475|
In this paper we assess the quantitative impact of a top manager's network on pay, using a novel dataset that comprehends the entire career of top managers for the universe of business firms in Portugal. We construct 5 different network metrics that are sensitive to exogenous variation. Further, we analyze these metrics using high dimensional fixed effects models and instrumental variable procedures to address thoroughly endogeneity concerns. We confirm that networks are associated to higher manager pay, both base wage and bonus. A one standard deviation increase in the number of connections is associated to a 8% higher bonus and 5% higher total pay. The depth of the connections prevails over mere number, while indirect measures capturing the information value of networks also matter. Finally, well connected managers that have access to private information not only further their career options and their bargaining power, they also benefit the firm. In other words, our results suggest that, from the firm's perspective, productivity gains associated to large-network managers go beyond the pay premium, so that networks are not overpaid.