We provide novel empirical evidence on the association between social networks and the adoption of renewable energy technology. We distinguish between two main transmission mechanisms through which social networks can affect renewable energy technology adoption: information diffusion and social...

We examine the optimal intervention of an influence designer in the presence of social learning in a network. Before learning begins, a designer implants opinions into the network to make agents' ultimate opinions as close as to target opinions. By decomposing the influence matrix, which...

This study examines the association between informed short selling and a firm’s position in the board interlock network formed by shared directors. We find that better-connected firms experience higher levels of informed short selling and that this association is driven by both eigenvector...

Do investors like political connections? We answer this question by exploiting a unique political measure and analyzing the market reaction after the US Supreme Court decision in 2010, which allowed firms to establish a new form of political connection through the employment of independent...

This paper describes a multidimensional machine learning model and its implementation in a financial technology (fintech) application. The aim of the model is to learn from both micro economic financial data and macro economic trends the credit rating of companies that ask for credit. We show...

We examine how people form social networks among their peers. We use a unique dataset that tells us the volume of email between any two people in the sample. The data are from students and recent graduates of Dartmouth College. First year students interact with peers in their immediate proximity...

We propose a network model with communities to study the stock co-jump dependency. To estimate the community structure, we extend the SCORE algorithm in Jin (2015) and develop a Spectral Clustering On Ratios-of-Eigenvectors for networks with Dependent Multivariate Poisson edges (SCORE-DMP)...

We analyze how economic conditions at the time of arrival affect the economic integration of family-sponsored migrants in the U.S. Our identification strategy exploits long waiting times for family-sponsored immigration visas that decouple the migration decision from economic conditions at the...