Publications

Individuals often engage in brokering behaviors intended to influence other people’s interactions and relationships. An open research question in the nascent literature on brokering as a social process concerns its situational antecedents. We…

Accounting studies often examine whether the relation between X and Y varies with a moderating variable, M, by including an interactive term, X × M, in a regression. We provide plain-English guidance…

The relative scarcity of policy-relevant research is the inevitable result of editorial policies pursued by most if not all of the highest status management and organization science journals. Ironically, there are a plethora of policy-oriented…

We use administrative data from the U.S. Census Bureau to estimate the causal effects of loose credit conditions on firm employment and worker earnings. To obtain quasi-random variation in firms’ exposure to credit booms, we exploit the…

We examine a dynamic disclosure model in which the value of a firm follows a random walk. Every period, with some probability, the manager learns the firm’s value and decides whether to disclose it. The manager maximizes the market perception of…

Problem Definition: The paper focuses on an innovative bank-intermediated trade finance contract, which we call dynamic trade finance DTF, under which banks dynamically adjust loan interest rates as an order passes…

Previous research focused on popular U.S. Supreme Court rulings expanding rights; however, less is known about rulings running against prevailing public opinion and restricting rights. We examine the impact of the Dobbs v. Jackson Women’s…

There are a number of available methods for selecting whom to prioritize for treatment, including ones based on treatment effect estimation, risk scoring, and handcrafted rules. We propose rank-weighted average treatment effect (RATE) metrics as…

Unlike traditional firm production, gig economy workers provide their own physical capital. As a consequence, the low-income households for whom gig economy opportunities are most valuable often borrow to participate. In the context of ride share…

This review revisits the literature on fiscal capacity using modern tools from asset pricing. We find that properly accounting for aggregate risk substantially reduces fiscal capacity. In this environment, the gap between the risk-free rate and…

Purpose

This article seeks to enhance the understanding as to why head coaches and general managers (GMs) in the National Basketball Association (NBA) and the National Football League (NFL) exit from their positions.

Design/…

New AI tools have the potential to change the way workers perform and learn, but little is known about their impacts on the job. In this paper, we study the staggered introduction of a generative AI-based conversational assistant using data from…

We examine the relationship between public firm disclosure and aggregate new business formation. Consistent with the notion that public company disclosures provide information spillovers that reduce the extent of uncertainty about new…

The increasing frequency of severe wildfires demands a shift in landscape management to mitigate their consequences. The role of managed, low-intensity fire as a driver of beneficial fuel treatment in fire-adapted ecosystems has drawn interest in…

We study the disclosure policy of a regulator overseeing a monitor with reputation concerns. The monitor faces a manager, who chooses how much to manipulate based on the monitor’s reputation. Reputational incentives are strongest for intermediate…

Social networks utilize award recognition and front pages to motivate user content creation, facilitate consumer discovery of content, and provide attention and recognition to the best content. Past research shows that such attention and…

The rapid development of generative AI technology is transforming the political landscape, presenting both challenges and opportunities for the 2024 US election. This document provides a research-based overview of the potential impact of…

In many applications, e.g. in healthcare and e-commerce, the goal of a contextual bandit may be to learn an optimal treatment assignment policy at the end of the experiment. That is, to minimize simple regret. However, this objective remains…

In many applications, e.g. in healthcare and e-commerce, the goal of a contextual bandit may be to learn an optimal treatment assignment policy at the end of the experiment. That is, to minimize simple regret. However, this objective remains…

Spatial access to healthcare facilities (i.e., how long people need to travel to reach care) is important for understanding public health, but hard to measure. Most research so far has focused on theoretical (potential) travel times. Using…