Publications

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…

Medical errors are rampant across healthcare settings, imposing a significant burden on patient safety. Here, we examined the ripple effects of diversity splits, or faultlines, within hospital teams on patient safety and care. Hospitals consist…

We study the design of stress tests that provide information about aggregate and idiosyncratic risk in banks’ portfolios and impose contingent capital requirements. In the optimal static test, an adverse scenario fails all weak and some strong…

Since 1980, foreign investors have timed their purchases and sales of U.S. Treasurys to yield particularly low returns. Their annual “dollar-weighted” returns, measured by the internal rate of return on their purchases and sales of Treasury bonds…

Unfunded public pension obligations represent the largest liability for state and local governments in the United States. As of fiscal year 2021, the total reported unfunded liabilities of these plans are $1.076 trillion. In contrast, the market…

The ability of recent Large Language Models (LLMs) such as GPT-3.5 and GPT-4 to generate human-like texts suggests that social scientists could use these LLMs to construct measures of semantic similarity that match human judgment. In this article…

How can we democratically govern the AI, social media, and online platforms of the future? Today, low participation is a major barrier to community governance online. We leverage a digital quasi-experiment that allows us to study the links…

Tropical deforestation for agriculture causes alarming CO2 emissions and loss of biodiversity and ecosystem services. To prevent this, various governments and multinational commodity-buyers offer a positive incentive for locals conditional on no…

This paper analyzes a randomized controlled trial of a personalized digital counseling intervention addressing informational constraints and choice architecture, cross-randomized with discounts for long-acting reversible contraceptives (LARCs),…