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
What is a feasible and efficient policy to regulate air pollution from vehicles? A Pigouvian tax is technologically infeasible. Most countries instead rely on exhaust standards that limit air pollution emissions per mile for new vehicles. We assess the effectiveness and efficiency of these standards, which are the centerpiece of US Clean Air Act regulation of transportation, and counterfactual policies.…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
Consumers are often skeptical of social innovation (e.g., CSR), thinking that firms undertake such innovations to increase profit rather than to “do the right thing.” How can firms convey the social and monetary benefits of investing in social innovations to consumers and stakeholders to best improve their brand image?…Read More
Exploring the latest in digital health through case studies on innovation and connectivity in chronic disease management.…Read More
I quantify the impact of trade secret protection on labor outsourcing, and consequently, on aggregate productivity.…Read More
We show that bank credit affects entrepreneurship, but only in low-income regions. We use a novel methodology to identify credit supply shock from regional demand shock using comprehensive data on small business loans between pairs of banks and counties in the US.…Read More
Entrepreneurial strategies to cope with dynamic environments are becoming increasingly important globally with the heightened technological and institutional disruptions in the recent and coming years. These dynamic environments are usually characterized by high velocity, complexity, ambiguity and unpredictability, creating additional challenges for entrepreneurs to find and realize opportunities…Read More
Supervised machine learning algorithms fail to perform well in the presence of endogeneity in the explanatory variables. In this paper, we borrow from literature on partial identification to propose deep causal inequalities that overcomes this issue.…Read More
People are frequently asked to engage in collective action—voting, protesting, signing petitions, donating—to uplift members of traditionally marginalized groups and encourage social change. Prior research suggests that minority group members who advocate for collective action are penalized for doing so, while majority group members are not. In this work, I shift focus from perceptions of people who take collective action to how effectively people are able to persuade others to engage in collective action.…Read More
