Publications

Since humanity’s first steps, individuals have used nonverbal cues to communicate and infer leadership, such as walking ahead of others. Menon et al., (2010) showed that the use of spatial ordering as cue to leadership differs across cultures:…

Randomized clinical trials (RCT) are the gold standard for informing treatment decisions. Observational studies are often plagued by selection bias, and expert-selected covariates may insufficiently adjust for confounding. We explore how…

Women continue to be underrepresented in leadership positions. This underrepresentation is at least partly driven by gender stereotypes that associate men, but not women, with achievement-oriented, agentic traits (e.g., assertive and decisive).…

U.S. Veterans Affairs (VA) patients’ multi-system use can create challenges for VA clinicians who are responsible for coordinating Veterans’ use of non-VA care, including VA-purchased care (“Community Care”) and Medicare. To examine the…

This article studies the impact of business modernization on the sales performance of traditional retailers in an emerging market. The authors define modernization as the adoption of physical structures and tangible practices of organized retail…

We conducted a longitudinal study, using logistic regression to examine how outpatient care fragmentation in FY14 (as measured by number of unique providers, Breslau’s Usual Provider of Care (UPC), Bice-Boxerman’s Continuity of Care Index (COCI…

Can differences in beliefs about politics, particularly the benefits of war and peace, move markets? During the Siege of Paris by the Prussian army (1870–71) and its aftermath, we document that the price of the French 3% sovereign bond (rente)…

Quantification has been constitutive of psychology since its inception and is core to its scientific status. The adoption of qualitative methods eschewing inferential statistics is therefore unlikely to obtain. Rather than discarding useful tools…

Encouraging vaccination is a pressing policy problem. To assess whether text-based reminders can encourage pharmacy vaccination and what kinds of messages work best, we conducted a megastudy. We randomly assigned 689,693 Walmart pharmacy patients…

We propose a definition for the average indirect effect of a binary treatment in the potential outcomes model for causal inference under cross-unit interference. Our definition is analogous to the standard definition of the average direct effect…

DAOs can reshape society by bringing democratic control to important economic and social activities previously governed through more hierarchical means. But as many people have pointed out, DAOs have not yet achieved their goal of true…

We model a market for a skill in short supply and high demand, where the presence of charlatans (professionals who sell a service they do not deliver on) is an equilibrium outcome. In the model, reducing the number of charlatans through…

U.S. state legislatures are critical policymaking bodies and the major pipeline of candidates to national office. Polarization in state legislatures has increased substantially in recent decades, yet we understand little about the role of…

In response to the complexity, challenges, and slow pace of innovation, health care organizations are adopting interdisciplinary team approaches. Systems engineering, which is oriented to creating new, scalable processes that perform with higher…

Conditionally accepted at the Journal of Accounting and Economics.

We investigate the relationship between private firms’ disclosures and the demand for the equity of their publicly traded peers. Using data on the global…

We examine how information about the diversity of a potential employer’s workforce affects individuals’ job-seeking behavior, and whether workers’ preferences explain corporate disclosure decisions. We embed a field experiment in job…

It is well-established that the Conquest of the Americas by Europeans led to catastrophic declines in indigenous populations. However, less is known about the conditions under which indigenous communities were able to overcome the onslaught of…

We use new hand-collected data from corporate filings to study the drivers of corporate capital structure adjustment. Classifying firms by their adjustment frequencies, we reveal previously unknown patterns in their reasons for financing and the…

Causal inference has recently attracted substantial attention in the machine learning and artificial intelligence community. It is usually positioned as a distinct strand of research that can broaden the scope of machine learning from predictive…