We analyze a unique database from a sample of real-world boardrooms - minutes of board meetings and board-committee meetings of eleven business companies for which the Israeli government holds a substantial equity interest. We use these data to evaluate the underlying assumptions and predictions...

This paper investigates the frequency of connections between banks and non-financial firms through board linkages and whether those connections affect lending and borrowing behavior. Although a board linkages may reduce the costs of information flows between the lender and borrower, a board...

We derive conditions for when having a “busy” director on the board is harmful to shareholders and when it is beneficial. Our model allows directors to condition their monitoring choices on their co-directors' choices and to experience positive or negative monitoring synergies across firms....

We examine CEO-board dynamics using a new panel dataset that spans 1920 to 2011. The long sample allows us to perform within-firm and within-CEO tests over a long horizon, many for the first time in the governance literature. Consistent with theories of bargaining or dynamic contracting, we find...

This paper presents theory and evidence on horizontal industry structure, focusing on situations where plant-level scale economies are small and market power is not an issue. At issue is the question: what makes industries necessarily fragmented? The theoretical model distinguishes between the...

Narrative records in US newspapers reveal that about 70 percent of Federal Open Market Committee (FOMC) members who served during the last 55 years are perceived to have had persistent policy preferences over time, as either inflation-fighting hawks or growth-promoting doves. The rest are...

We develop a dynamic model of board decision-making. We show that a board could retain a policy all directors agree is worse than an available alternative. Thus, directors may retain a CEO they agree is bad—a deadlocked board leads to an entrenched CEO. We explore how to compose boards and...

Can algorithms assist firms in their decisions on nominating corporate directors? We construct algorithms to make out-of-sample predictions of director performance. Tests of the quality of these predictions show that directors predicted to do poorly indeed do poorly compared to a realistic pool...