We combine novel micro data with quasi-random timing of patent decisions over the business cycle to estimate the effects of the Great Recession on innovative startups. After purging ubiquitous selection biases and sorting effects, we find that recession startups experience better long-term...

We show that private firms that go public in the U.S. create positive information externalities for their already-listed peers: their IPO filings improve their peers’ trading liquidity directly, by reducing information asymmetry, and indirectly, by crowding in both voluntary disclosure and...

We study how well-incentivized boards monitor CEOs and whether such monitoring improves performance. Using unique, detailed data on boards' information sets and decisions for a large sample of private-equitybacked firms, we find that gathering information helps boards learn about CEO ability....

We provide evidence on the value of patents to startups by leveraging the quasi-random assignment of applications to examiners with different propensities to grant patents. Using unique data on all first-time applications filed at the U.S. Patent Office since 2001, we find that startups that win...