Publications

We explore the welfare implications of data-tracking technologies that enable firms to collect consumer data and use it for price discrimination. The model we develop centers around two features: competition between firms and consumers’ level of…

In this Closer Look, we examine individual investor perception of ESG to gauge their concern for environmental and social issues, their view of whether fund managers should use their voting power to influence ESG practices, and their willingness…

In summer 2022, Stanford Graduate School of Business, the Hoover Institution Working Group on Corporate Governance at Stanford University, and Rock Center for Corporate Governance at Stanford University jointly conducted a nationwide survey of 2,…

How does cognitive diversity in a group affect its performance? Prior research suggests that group cognitive diversity poses a performance tradeoff: diverse groups excel at creativity and innovation but struggle to take coordinated action.…

We consider a matching market where buyers and sellers arrive according to independent Poisson processes at the same rate and independently abandon the market if not matched after an exponential amount of time with the same mean. In this…

We study social learning and information transmission in a sender-receiver game wherein senders may be attacked (“cancelled”) for challenging the status-quo beliefs. We find that cancellations (and self-censorship) don’t arise unless there is a…

This paper reviews the empirical methods used in the accounting literature to draw causal inferences. Similar to other social science disciplines, recent years have seen a burgeoning growth in the use of methods that seek to provide as-if random…

This essay describes the evolution and recent convergence of two methodological approaches to causal inference. The first one, in statistics, started with the analysis and design of randomized experiments. The second, in econometrics, focused on…

We design and implement an adaptive experiment (a “contextual bandit”) to learn a targeted treatment assignment policy, where the goal is to use a participant’s survey responses to determine which charity to expose them to in a donation…

Two leading hypotheses for why individuals unintentionally share misinformation are that 1) they are unable to recognize that a post contains misinformation, and 2) they make impulsive, emotional sharing decisions without thinking about whether a…

We examine methods for evaluating interventions designed to improve decision-making quality when people misunderstand the consequences of their choices. In an experiment involving financial education, conventional outcome metrics (financial…

Our efforts here represent an exploratory attempt to make some progress on developing a fuller understanding of gender and organizational culture. In doing so, we report on a wide-ranging survey we administered to a sample of full-time workers (…

This paper studies strategic consumer shopping behavior in response to a macroeconomic policy and quantifies its unintended consequences for retailers vis-à-vis the policy goal. Using transaction-level data from a large retail chain in India, we…

Before the era of large central bank balance sheets, banks relied on incoming payments to fund outgoing payments in order to conserve scarce liquidity. Even in the era of large central bank balance sheets, rather than funding payments with…

Does going public affect the amount and type of corporate tax planning? Using a panel of U.S. corporate tax return data from 1994 to 2018, we show that IPO completion is associated with the implementation of multinational income shifting…

The operation of markets and of politics are in practice deeply intertwined. Political decisions set the rules of the game for market competition and, conversely, market competitors participate in and influence political decisions. We develop an…

Introduction: Population-level algorithm-enabled remote patient monitoring (RPM) based on continuous glucose monitor (CGM) data review has been shown to improve clinical outcomes in diabetes patients, especially children.…

The article offers information about the platform annexation, and the logic using basic principles from platform economics. It analyzes the platform annexation to the traditional antitrust categories in the market. It mentions that a platform…

Learning optimal policies from historical data enables the gains from personalization to be realized in a wide variety of applications. The growing policy learning literature focuses on a setting where the treatment assignment policy does not…