Publications

Multi-armed bandit (MAB) algorithms are efficient approaches to reduce the opportunity cost of online experimentation and are used by companies to find the best product from periodically refreshed product catalogs. However, these algorithms face…

In many models, economic growth is driven by people discovering new ideas. These models typically assume either a constant or growing population. However, in high income countries today, fertility is already below its replacement rate: women are…

The President’s 2021 Executive Order urged the Division to reevaluate certain aspects of antitrust analyses, facilitate a whole-of-government approach to reinvigorating competition, and pursue aggressive antitrust enforcement. Consistent with the…

We document that (i) debt-to-equity ratios and levered equity betas negatively covary with the market risk premium in distressed firms; (ii) the negative covariance generates negative alphas among those firms. We build a dynamic credit risk model…

Conspiracies are consequential and social, yet online conspiracy groups that consist of individuals (and bots) seeking to explain events or a system have been neglected in sociology. We extract conspiracy talk about the COVID-19 pandemic on…

Multi-sector efforts to address the structural drivers of health inequities faced by racial and ethnic minority communities in the USA often ignore the potential of action by for-profit businesses, perhaps due to skepticism about the role of…

Decisions take time, and the time taken to reach a decision is likely to be informative about the cost of more precise judgments. We formalize this insight using a dynamic model of optimal evidence accumulation. We provide conditions under which…

Early in the COVID-19 pandemic, US Veterans Health Administration (VHA) employee occupational health (EOH) providers were tasked with assuming a central role in coordinating employee COVID-19 screening and clearance for duty,…

Negative healthcare delivery experiences can cause lasting patient distress and medical service misuse and disuse. Yet no multi-site study has examined whether care-team members understand what most upsets patients about their care.

We…

Congress has been grappling with an ambitious agenda this legislative session, debating plans to support working families with child care, tax credits, housing support, preschool education, and other efforts to strengthen the middle class.1 In…

Labor economists regularly analyze employment data by fitting predictive models to small, carefully constructed longitudinal survey datasets. Although modern machine learning methods offer promise for such problems, these survey datasets are too…

Two intermediary-based factors — a corporate bond dealer inventory measure and a broad intermediary distress measure — explain more than 40% of the puzzling common variation in credit spread changes beyond canonical structural factors. A…

Under what conditions can members of poor disenfranchised communities survive and even foster entrepreneurship in environments where violence is cheap? How do such conditions alter ethnic identities and political institutions? In this paper, we…

Modern digital advertising platforms allow ads to be targeted in a variety of ways, and generally aim to match the ad being shown with either the user or the content being shown. In this study, we examine the effect of matching in emotional…

[Part of the thesis awarded the 2023 George B. Dantzig Dissertation Award; Winner of 2023 MSOM SIG Best Paper Award in Service Management; Finalist 2025 Management Science Best Paper in OM Award; 2nd place 2021 RMP Jeff McGill Student Paper Award…

Background: Health care delivery system features can have a profound effect on how frontline physicians and other clinical personnel in primary care practices (primary care providers [PCPs]) view the quality and safety of what…

Importance Home dialysis rates for end-stage kidney disease (ESKD) treatment are substantially lower in the US than in other high-income countries, yet there is limited knowledge on how to increase these rates.

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Free association among words is a fundamental and ubiquitous memory task. Although distributed semantics (DS) models can predict the association between pairs of words, and semantic network (SN) models can describe transition probabilities in…

In honor cultures, relatively minor disputes can escalate, making numerous forms of aggression widespread. We find evidence that honor cultures’ focus on virility impedes a key conflict de-escalation strategy — apology — that can be successfully…

How does a failure in a retailer’s mobile app impact shoppers’ purchases in its online (website and app) and offline (brick-and-mortar store) channels? Our main hypothesis is that an app failure has a negative effect on offline purchases and no…