Star Developers and Open Source Software

Working Papers

The idea that source code for computer software be accessible to anyone has gained increasing popularity among software developers, fueling the rapid growth of the open source software (OSS) movement. Platforms for OSS development currently host incredibly valuable projects like the Linux kernel, TensorFlow and various blockchain software projects.Read More

Does Private Equity Ownership Make Firms Cleaner? The Role Of Environmental Liability Risks

Working Papers

As VC firms have an acute interest in high-tech companies, they potentially bear substantial risk of patent litigation. In this project, we aim at looking into the following questions: how do ex-ante and ex-post patent litigation risks affect VC firms’ investment strategies and how those risks is propagated among all portfolio companies they have invested?Read More

Personal Wealth and Self-Employment

Working Papers

We examine how wealth windfalls affect self-employment decisions using data on cash payments from claims on Texas shale drilling to people throughout the United States. Individuals who receive large wealth shocks (greater than $50,000) have 51% higher self-employment rates.Read More

Artificial Intelligence and Drug Innovation: A Large Scale Examination of the Pharmaceutical Industry

Working Papers

Artificial Intelligence (AI) is playing an increasingly important role in the global economy and has transformed many business practices. As AI has advanced beyond the conventionally narrow domains, it is starting to exhibit characteristics of “general purpose technologies (GPT)” that are expected to change the nature of more business innovations and reduce their associated financial costs and time.Read More

Intellectual Property Rights, Professional Business Services and Top Wage Inequality

Working Papers

High skill labor demand is infrequent but firms cannot adjust perfectly due to several adjustment costs. Professional Business Services (PBS) sector help alleviate this problem by allowing high skill labor to move across firms, reducing idiosyncratic part of labor demand risk.Read More

Organizational Change and the Dynamics of Innovation: Formal R&D Structure and Intrafirm Inventor Networks

Published Research

Prior research has argued and shown that firms with centralized R&D produce broader innovations relative to decentralized firms, but the organizational mechanisms underlying this relationship are underexplored. This gap limits our understanding of whether and how formal R&D structure can be used as a lever to influence research outcomes.Read More

Alliance-Network Externalities and Firm Innovation: Separating Endogenous from Exogenous Network Effects

Working Papers

We investigate whether the effect of network position on innovation is causal or spurious. Although empirical evidence demonstrates that certain structural positions in alliance networks (e.g. structural holes) affect firm innovation, it is hard to disentangle the factors allowing a firm to put itself in a certain position from the innovation outcomes that stem from being in that position.Read More

Progress and Setbacks: The Two Faces of Technology Emergence

Published Research

Emerging technologies are an important driver of economic growth. However, the process of their emergence may not only be characterized by technological progress but also by setbacks. We offer a perspective on technology emergence that explicitly incorporates setbacks into the technology’s evolution and explains how industry participants may react to setbacks in emerging technologies.Read More

Does Immediate Feedback Make You Not Try as Hard? A Study on Automotive Telematics

Working Papers

Technological innovation is changing the landscape of many industries, and automotive telematics devices are perhaps the most disruptive technology for the auto insurance industry and most automotive manufacturers have plans to develop telematics. Moreover, a number of startup companies use telematics devices in various applications. Read More

Optimal Uniform Capital Taxation in a Partially Automated Society

Working Papers

A recent rapid-automation movement has been displacing routine labor and has sparked a series of discussions about taxation on automation such as a robot tax. However, the government’s dilemma is that the planner may want to tax such physical capital that displaces routine labor for redistributive motives but does not want to tax other physical capital that increases such workers’ productivities.Read More

Do Ratings Cut Both Ways? Impact of Bilateral Ratings on Platforms

Working Papers

Traditional online platforms (e.g., Amazon Marketplace) use Unilateral Rating System (URS), where customers rate sellers. However, sharing economy platforms (e.g., Uber, Airbnb) have adopted Bilateral Rating System (BRS) that also allows service providers to rate customers, and even selects customers based on their ratings.Read More

Implications of Paycheck Variation on Retention

Working Papers

Uber. Upwork. TaskRabbit. The world of work is transforming and my research agenda attempts to identify and explain 1) how work is changing and 2) how these changes affect workers, especially those who are marginalized or vulnerable.Read More

Watershed Moments, Cognitive Discontinuities, and Entrepreneurial Entry: The Case of New Space

Working Papers

In this paper, we explore how an industry’s watershed moments – vivid, publically salient, emotionally resonant events – can drive the emergence of a new market. Our empirical context is the New Space market, a growing number of new, private companies developing and using spaceflight-access technologies. Read More

Returns to Political Contribution in Housing Markets

Working Papers

Are there returns to political contribution? This paper investigates whether political donation influences regulation in the market for one of the largest asset classes in the U.S.—real estate. Using new data on local campaign donors linked to sellers of new construction in Corelogic, a regression discontinuity design tests whether political contribution purchases regulatory outcomes.Read More

Risk Factors That Matter: Textual Analysis of Risk Disclosures for the Cross-Section of Returns

Working Papers

I exploit unsupervised machine learning and natural language processing techniques to elicit the risk factors that firms themselves identify in their annual reports. I quantify the firms’ exposure to each identified risk, design an econometric test to classify them as either systematic or idiosyncratic, and construct factor mimicking portfolios that proxy for each undiversifiable source of risk.Read More