Publications

Competing power generation sources have experienced considerable shifts in both their revenue potential and their costs in recent years. Here we introduce the concept…

Although economic theory suggests that the federal government can influence spending by states through subsidies to programs that states operate, no recent work has quantified the magnitude of this effect for Medicaid, the largest program of this…

The authors analyzed data from multiple large-scale randomized experiments on LinkedIn’s People You May Know algorithm, which recommends new connections to LinkedIn members, to test the extent to which weak ties increased job mobility in the…

We study a classic problem in revenue management: quantity-based, single-resource revenue management with no-shows. In this problem, a firm observes a sequence of T customers requesting a service. Each arrival is drawn independently from…

We present a data-driven algorithm that advertisers can use to automate their digital ad-campaigns at online publishers. The algorithm enables the advertiser to search across available target audiences and ad-media to find the best possible…

Chosen by the JFS Associate Editors and Editor-in-Chief as a 2022 JFS Noteworthy Article.

The genealogy process is typically the most time-consuming part of — and a limiting factor in the success of — forensic genetic genealogy,…

Organizations benefit when they are perceived as authentic. Yet, explanations for this effect typically rely on context-specific attributions that can carry different meanings for different people. Here we develop some elements of a broader…

“Buy Now Pay Later” (BNPL) is a largely unregulated FinTech innovation that provides consumers with easy access to credit for specific retail purchases. The BNPL market is projected to reach $1 trillion by 2025, but we know little about the…

I want to congratulate Nikolaos Ignatiadis and Stefan Wager on a very stimulating paper on a timely and important topic. They discuss empirical Bayes procedures and propose new methods for constructing robust confidence intervals. The proposed…

This study finds that voluntary non-earnings disclosures substitute for redacted proprietary contract information. When firms redact contract information, they provide more voluntary disclosures and have higher information uncertainty and…

We evaluate how features of the digital environment free or constrain the self. Based on the current empirical literature, we argue that modern technological features, such as predictive algorithms and tracking tools, pose four potential…

In this study, we causally examine complementarity in usage across a set of related software products from a multi-product firm. Digital contexts are characterized by little price variation, bundled pricing plans, and infrequent purchase or…

Convex optimization with feedback is a framework where a learner relies on iterative queries and feedback to arrive at the minimizer of a convex function. It has gained considerable popularity thanks to its scalability in large-scale optimization…

We model the creation of a new venture with a novel drift-variance diffusion control framework in which the state of the venture is captured by a diffusion process. The entrepreneur creating the venture chooses costly controls, which determine…

Creative industries produce many one-hit wonders who struggle to repeat their initial success and fewer hit makers who sustain success over time. To develop theory on the role of creativity in driving sustained market success, I…

Predicting the responses of a cell under perturbations may bring important benefits to drug discovery and personalized therapeutics. In this work, we propose a novel graph variational Bayesian causal inference framework to predict a cell’s gene…

Privately issued money often bears devaluation risk that create monetary transaction frictions. We evaluate the real effects of supplying a new type of safe money in the historical context of the U.S. in 1863. We instrument for the change in…

In our article, we introduced two general methods for conducting inference for empirical Bayes estimands. The discussants have contributed to our work by clarifying and raising important issues regarding our manuscript, suggesting further…

Early theories of status dynamics in small groups portrayed intragroup status as a limited resource — as the status of one group member rises, the status of another must fall. Recent theorizing presents an alternative view: that the amount of…