Private firms in the U.S. are not subject to public reporting requirements, so relatively little is known about their characteristics and behavior – until now. This Data Appendix describes a new database on private U.S. firms, created by Sageworks Inc. in cooperation with hundreds of...

Private firms in the U.S. are not subject to public reporting requirements, so relatively little is known about their characteristics and behavior – until now. This Data Appendix describes a new database on private U.S. firms, created by Sageworks Inc. in cooperation with hundreds of...

We evaluate differences in investment behavior between stock market listed and privately held firms in the U.S. using a rich new data source on private firms. Listed firms invest less and are less responsive to changes in investment opportunities compared to observably similar, matched private...

We investigate whether short-termism distorts the investment decisions of stock market listed firms. To do so, we compare the investment behavior of observably similar public and private firms using a new data source on private U.S. firms, assuming for identification that closely held private...

We document sizeable and surprising differences in investment behavior between stock market listed and privately held firms in the U.S. using a rich new data source on private firms. Listed firms invest substantially less and are less responsive to changes in investment opportunities compared to...

We evaluate differences in investment behavior between stock market listed and privately held firms in the U.S. using a rich new data source on private firms. Listed firms invest less and are less responsive to changes in investment opportunities compared to observably similar, matched private...

Motivated by concerns that the patent system is hindering innovation, particularly for small inventors, this study investigates the bright side of patents. We examine whether patents help startups grow and succeed using detailed micro data on all patent applications filed by startups at the U.S....

Financial constraints are not directly observable, so empirical research relies on indirect measures. We evaluate how well five popular measures (paying dividends, having a credit rating, and the Kaplan-Zingales, Whited-Wu, and Hadlock-Pierce indices) identify firms that are financially...

We provide evidence on the value of patents to startups by leveraging the 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 the...

Financial constraints are not directly observable, so empirical research relies on indirect measures. We evaluate how well five popular measures (paying dividends, having a credit rating, and the Kaplan-Zingales, Whited-Wu, and Hadlock-Pierce indices) identify firms that are financially...