SOCIAL NETWORKS IN THE BOARDROOM
Author(s) -
Kramarz Francis,
Thesmar David
Publication year - 2013
Publication title -
journal of the european economic association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 7.792
H-Index - 93
eISSN - 1542-4774
pISSN - 1542-4766
DOI - 10.1111/jeea.12021
Subject(s) - unobservable , corporate governance , matching (statistics) , business , accounting , set (abstract data type) , ranking (information retrieval) , active monitoring , empirical evidence , affect (linguistics) , identification (biology) , social network (sociolinguistics) , value (mathematics) , economics , social media , finance , econometrics , political science , computer science , philosophy , statistics , linguistics , mathematics , botany , epistemology , real time computing , machine learning , biology , programming language , law
This paper provides evidence that social networks strongly affect board composition and are detrimental to corporate governance. Our empirical investigation relies on a large data set of executives and outside directors of French public firms. This data source is a matched employer–employee data set that provides detailed information on directors/CEOs as well as information about the firm employing them. We find a strong and robust correlation between the CEO's network and that of his directors. Networks of former high‐ranking civil servants are the most active in shaping board composition. Our identification strategy takes into account not only firm and directors’ fixed effects but also the matching of firms and director in terms of one observable and one unobservable characteristic. Turning to the direct effects of such network activity, we find that firms in which these networks are most active pay their CEOs more, are less likely to replace a CEO who underperforms, and engage in less value‐creating acquisitions. These findings suggest that social networks are active in the boardroom and have detrimental effects on firms’ governance.
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