Using a structural model, we show that workers are highly heterogenous in their preferences for both multihoming and repositioning. We provide counterfactual estimates on the effects of proposed firm and regulatory policies aimed at multihoming and repositioning.…Read More
This research explores how a new relation of production—specifically, the shift from human to algorithms as managers on digital platforms—reconfigures and repurposes workplace consent.…Read More
We design new algorithms that leverage tools from survival analysis to provably perform well in these settings. We demonstrate the value of our approach on a large-scale clinical trial database on metastatic breast cancer.…Read More
This project aims to estimate the welfare effects of this strategy in the biotechnology industry, using a structural model of the investment decisions of VCs during the drug development process and the product market for the successful drugs.…Read More
The main questions we analyze in this project are, what are the key engagement drivers in online discussion platforms, and how can a platform leverage these drivers to adjust the user feed to maximize user engagement throughout the path of the discussion.…Read More
We examine the assumptions that underlie our understanding of profit maximizing firms and test whether product/service scope has different implications for social impact creation. This has both theoretical and practical implications for business model innovation that aims to deliver both financial and social value.…Read More
Hydrogen is being explored as a zero-carbon energy alternative in large, heavy and “hard to abate” sectors of the economy such as aviation, shipping, and other heavy industry. While hydrogen has several features that make it attractive for this end goal, there…Read More
In this study we plan to fill this research gap by examining whether social media can help startups to access broader knowledge and subsequently facilitate innovation. Our goal is twofold in this research. First, we explore the effect of social media adoption on startup’s knowledge diversity. Second, we analyze whether startups can successfully transfer the diversified knowledge into innovations.…Read More
Providing access to cleaner and cheaper lighting solutions is necessary to lift people out of poverty. The magnitude of the economic, health, and educational impacts created by these lighting solutions as we move up the energy ladder, however, is not clear.…Read More
We examine how industry-university collaboration (IUC) enhances Chinese firms’ commercialization of their technologies using a comprehensive dataset of medium- sized and large industrial firms and research universities in China.…Read More
Little is known currently about the effect of scale and scope on productivity and innovation in healthcare. We propose using unique and hitherto untapped Census economic files on the healthcare sector to answer these questions.…Read More
This study examines how social safety nets providing paid family leave (PFL) benefits to employees influence subsequent business performance for entrepreneurial ventures.…Read More
This project adapts online learning techniques to unstructured data, focusing on neural networks. We posit a non-parametric multi-armed bandit algorithm with context that uses a neural network for its underlying function approximation. We theoretically analyze and prove guarantees on the regret under this algorithm…Read More
The world of healthcare is moving towards more value-based approaches due to medical expenditure growing out of control. As a result, traditional insurers need to, and have started to, build more connected strategies…Read More
This paper develops a theoretical model to study the economic incentives for a social media platform to moderate user-generated content. We show that a self-interested platform can use content moderation as an effective marketing tool to expand its installed user base, to increase the utility of its users, and to achieve its positioning as a moderate or extreme content platform.…Read More
The goal of the project is to identify cheap talk and faithful signaling in environmental reports issued by the U.S. largest firms and understand the determinants and consequences of cheap talk about firms’ climate responsibility.…Read More
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
Does the adoption of data analytics impact retailers’ performance, and if so, how? Exploiting the staggered adoption of a retail analytics service by more than 1,000 e-commerce websites, we find an average increase of 8-29% in monthly revenues post adoption. …Read More
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
Globally, 1.5 billion people live off the grid, their only access to electricity often limited to operationally-expensive fossil fuel generators. Solar power has risen as a sustainable and less expensive option, but its generation is variable during the day and non-existent at night.…Read More
