Publications

Background and Objective

Long COVID (LC) refers to persistent symptoms after acute COVID-19 infection, which may persist for months or years. LC affects millions of people globally, with substantial impacts on quality of life, employment…

This paper studies demand, fatalities, and regulation in firearm markets. I assemble 20 years of administrative data from California, recording all licit handgun purchases and fatalities. Leveraging variation from the entry timing of firearm…

This paper studies the roles of market power and taxes in determining market surplus and social welfare in the U.S. consumer firearms industry. Using microdata from Massachusetts and aggregate data from other states, we estimate an equilibrium…

Sovereign debt yields have undergone a historic decline over the last half century. Standard explanations, including aging populations and increases in asset demand from abroad, encounter difficulties when confronted with the full range of…

People’s unwillingness to engage with others who hold views that differ from their own—in other words, their lack of receptiveness to opposing views—is a growing problem globally. We explore the possibility that something as simple as how people…

I examine whether mandating the disclosure of investments influences firms’ strategic interactions. I exploit an SEC regulation requiring firms to report off-balance sheet purchase obligations, such as commitments to inventory purchases, CAPEX, R…

We study the effects of social media political advertising by randomizing subsets of 36,906 Facebook users and 25,925 Instagram users to have political ads removed from their news feeds for 6 weeks before the 2020 US presidential election. We…

The Fed is now growing its balance sheet roughly in step with the quantity of reserve balances needed by banks within each day to make timely payments to each other. Systemically important banks also demand large quantities of reserve balances to…

Antisemitism, characterized by prejudice, discrimination, and hostility toward Jews, is marked by two enduring paradoxes. First, although people typically defer to powerholders, perceptions of Jews as powerful are associated with disdain rather…

To effectively address support for intergroup violence, we must understand the psychology promoting it. Dehumanization—the explicit and blatant denial of an outgroup’s humanity—is widely considered one such promoter, which has informed…

Flexibility is a cornerstone of operations management, crucial to hedge stochasticity in product demands, service requirements, and resource allocation. In two-sided platforms, flexibility is also two-sided and can be viewed as the compatibility…

Belief change does not always lead to behavior change. This belief–behavior gap has received considerable attention, particularly in the context of misinformation. We expand upon ideas in the literature by offering additional insight derived from…

We analyze the efficiency and efficacy of human and intellectual capital investment to better understand the effects of social investment. Existing literature in the corporate setting lacks analysis on the impact of human and intellectual capital…

Why, when, and to whom do we attribute superhuman characteristics? Seven studies establish the positivity of superhumanization, show that Black Americans superhumanize their ingroup more than White Americans, and find that exposure to media…

We develop a unified theory of delegated capital management by extending the paradigm of Berk and Green (2004) from mutual funds to alternative assets. With competitive markets and rational investors, we derive the optimal contract and account…

What explains wealth and portfolio differences between Black and White Americans? We find that disparities in economic factors explain portfolios well, but only partly explain the wealth gap. In a dynamic setting, economic factors often change…

In collaboration with VolunteerMatch (VM)—the world’s largest online platform for connecting volunteers with volunteering opportunities—we designed and implemented a new display ranking algorithm. VM’s original ranking algorithm was intended to…

Developing accurate clinical prediction models is often bottlenecked by the difficulty of generating meaningful predictive features from unstructured data. While electronic health records (EHRs) contain rich narrative information, extracting a…

Generative AI needs automatic clinical text accuracy metrics, but none exist for echocardiography. To address this, we developed EchoGraph, a BERT-based model trained on 600 densely annotated echocardiography reports from the Mayo Clinic (2017),…