We use machine learning to analyze minute-by-minute Bloomberg online status data and study how the effort provision of top executives in public corporations affects firm value. While executives likely spend most of their time doing other activities, Bloomberg usage data allows us to characterize...

Legal records indicate that conflicts of interest -- that is, situations in which officers and directors were in a position to benefit themselves at the expense of minority shareholders -- were endemic to corporations in the late-nineteenth and early-twentieth century U.S. Yet investors...

We estimate the long-term effects of experiencing high levels of job demands on the mortality and aging of CEOs. The estimation exploits variation in takeover protection and industry crises. First, using hand-collected data on the dates of birth and death for 1,605 CEOs of large, publicly-listed...

We study how ownership structure, in particular public listing status, affects workplace safety and productivity tradeoffs. Theory offers competing hypotheses on how listing related frictions affect these tradeoffs. We exploit detailed asset-level data in the U.S. coal industry and find that...

The increased burden of disclosure and governance regulations is often cited as a key reason for the significant decline in the number of publicly-listed companies in the U.S. We explore the connection between regulatory costs and the number of listed firms by exploiting a regulatory quirk: many...

We examine how public firms listed in North American stock exchanges acquire technology companies during 2010-2020. Combining data from S&P, Refinitiv, Compustat, and CRSP, and utilizing a unique S&P taxonomy that classifies tech M&As by tech categories and business verticals, we show that 13.1%...