We analyze how contractibility affects contract design. A major concern when designing research agreements is that researchers use their funding to subsidize other projects. We show that, when research activities are not contractible, an option contract is optimal. The financing firm obtains the option to terminate the agreement and, in case of termination, broad property rights. The threat of termination deters researchers from cross-subsidization, and the cost of exercising the termination option deters the financing firm from opportunistic termination. We test this prediction using 580 biotechnology research agreements. Contracts with termination options are more common when research is non-contractible.

The Economics of Copyright "Fair Use" in a Networked World by Benjamin Klein, Andres V. Lerner and Kevin M. Murphy. Published in volume 92, issue 2, pages 205-208 of American Economic Review, May 2002

Venture capital distributions, a legal form of insider trading, provides an ideal arena for examining the share price impact of transactions by informed parties. These sales, which occur after substantial run‐ups in share value, generate a substantial price reaction immediately around the event. In the months after distribution, returns apparently continue to be negative. When the short‐ and long‐run reactions are decomposed, they are consistent with the view that venture capitalists use inside information to time stock distributions: Distributions of firms brought public by lower quality underwriters and of less seasoned firms have more negative price reactions.

“Founder-friendly” venture financings and nontraditional venture investors have both flourished over the past decade. Using detailed contract data, we study open-end mutual funds investing in private venture-backed firms. We posit that conflicts between early-stage venture investors and liquidity-constrained later-stage ones influence the classic agency problems affecting entrepreneurs and investors. We find that mutual funds with more stable funding are more likely to invest in private firms and that financing rounds with mutual fund participation have stronger redemption, stronger IPO-related rights, and less board representation. These findings are consistent with our conceptual framework.

Using a difference-in-differences approach, we study how intellectual property right (IPR) protection affects innovation in China in the years around the privatizations of state-owned enterprises (SOEs). Innovation increases after SOE privatizations, and this increase is larger in cities with strong IPR protection. Our results support theoretical arguments that IPR protection strengthens firms’ incentives to innovate and that private sector firms are more sensitive to IPR protection than SOEs. Received June 17, 2015; editorial decision November 23, 2016 by Editor Andrew Karolyi.

Financial economists have intensely debated the performance of IPOs using data after the formation of Nasdaq. This paper sheds light on this controversy by undertaking a large, out‐of‐sample study: We examine the performance for five years after listing of 3,661 U.S. IPOs from 1935 to 1972. The sample displays some underperformance when event‐time buy‐and‐hold abnormal returns are used. The underperformance disappears, however, when cumulative abnormal returns are utilized. A calendar‐time analysis shows that over the entire period, IPOs return as much as the market. The intercepts in CAPM and Fama–French regressions are insignificantly different from zero, suggesting no abnormal performance.

This paper examines the role of investments by angel groups across a heterogeneous set of 21 countries with varying entrepreneurship ecosystems. Exploiting quasi-random assignment of deals around the groups’ funding thresholds, we find a positive impact of funding on firm growth, performance, survival, and follow-on fundraising, which is independent of the level of venture activity and entrepreneur-friendliness in the country. However, the maturity of startups that apply for funding (and are ultimately funded) inversely correlates with the entrepreneurship-friendliness of the country. This may reflect self-censoring by early-stage firms that do not expect to receive funding in these environments.

This paper presents evidence of performance persistence in entrepreneurship. We show that entrepreneurs with a track record of success are much more likely to succeed than first-time entrepreneurs and those who have previously failed. In particular, they exhibit persistence in selecting the right industry and time to start new ventures. Entrepreneurs with demonstrated market timing skill are also more likely to outperform industry peers in their subsequent ventures. This is consistent with the view that if suppliers and customers perceive the entrepreneur to have market timing skill, and is therefore more likely to succeed, they will be more willing to commit resources to the firm. In this way, success breeds success and strengthens performance persistence.

It is well documented that the venture capital industry is highly volatile and that much of this volatility is associated with shifting valuations and activity in public equity markets. This paper examines how changes in public market signals affected venture capital investing between 1975 and 1998. We find that venture capitalists with the most industry experience increase their investments the most when public market signals become more favorable. Their reaction to an increase is greater than the reaction of venture capital organizations with relatively little industry experience and those with considerable experience but in other industries. The increase in investment rates does not affect the success of these transactions adversely to a significant extent. These findings are consistent with the view that venture capitalists rationally respond to attractive investment opportunities signaled by public market shifts.

We document the widespread nature and structure of missing observations of firm fundamentals and show how to systematically handle them. Missing financial data affects more than 70% of firms that represent about half of the total market cap. Firm fundamentals have complex systematic missing patterns, invalidating traditional approaches to imputation. We propose a novel imputation method to obtain a fully observed panel of firm fundamentals that exploits both time-series and cross-sectional dependency of data to impute missing values and allows for general systematic patterns of missingness. We document important implications for risk premiums estimates, cross-sectional anomalies, and portfolio construction.