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When Does Interference Matter? Decision-Making in Platform Experiments
This paper investigates decision-making in A/B experiments for online platforms and marketplaces. In such settings, due to constraints on inventory, A/B experiments typically lead to biased estimators because of interference; this phenomenon has…
Whispers in Your Mind: The Role of Voice Features in Customer Acquisition and Retention
While most marketing studies have focused on what salespeople say, less is known about the persuasiveness of how they say it, particularly in the distinct contexts of customer acquisition and retention. This research investigates how salespeople’…
Online Algorithms for Matching Platforms with Multichannel Traffic
Two-sided platforms rely on their recommendation algorithms to help visitors successfully find a match. However, on platforms such as VolunteerMatch, which has facilitated millions of connections between volunteers and nonprofits, a sizable…
How Does Internal Communication Technology Affect Internal Information: Theory and Evidence
We study how enhanced internal communication technology influences firms’ internal information production. By developing a model with a headquarters manager and several divisional managers, we formalize two competing economic forces—information…
Are Dead People Voting by Mail: Evidence from Washington State Administrative Data
A common concern about vote-by-mail in the United States is that mail-in ballots are sent to dead people, stolen by bad actors, and counted as fraudulent votes. Studying Washington state’s vote-by-mail program, we link counted ballots and…
Contemporary Social Federalism: Sorting, Natural Polarization, and Policy Devolvement
This article presents a theory of policymaking at the federal and state levels where individuals locate based on the differences in state policies. Individuals have an ideology that represents the strength of preferences for redistribution and…
Majority rule: Do minorities live in ‘tighter’ social worlds?
Exploring social norms through a diversity perspective, this review examines whether minorities live in ‘tighter’ worlds, wherein they are subject to stricter rules and punishments. Integrating research from psychology, economics, and…
On Synthetic Difference-in-Differences and Related Estimation Methods in Stata
In this article, we describe a computational implementation of the synthetic difference-in-differences (SDID) estimator of Arkhangelsky et al. (2021, American Economic Review 111: 4088-4118) for Stata. SDID can be used in many…
A Prediction Model for Differential Resilience to the Effects of Combat-Related Stressors in U.S. Army Soldiers
Objectives
To develop a composite score for differential resilience to effects of combat-related stressors (CRS) on persistent DSM-IV post-traumatic stress disorder (PTSD) among US Army combat arms soldiers…
The AI Dilemma: Growth Versus Existential Risk
Advances in artificial intelligence (AI) are a double-edged sword. On the one hand, they may increase economic growth as AI augments our ability to innovate. On the other hand, many experts worry that these advances entail existential risk:…
The CEO Scorecard: How Directors Select a CEO When They Have Real Skin in the Game
Shareholders and stakeholders place considerable emphasis on the importance of reliable CEO succession planning. Nevertheless, it is far from clear that CEO succession planning is any better today than a decade or two ago.
In this …
The Diffusion and Reach of (Mis)Information on Facebook During the U.S. 2020 Election
Social media creates the possibility for rapid, viral spread of content, but how many posts actually reach millions? And is misinformation special in how it propagates? We answer these questions by analyzing the virality of and exposure to…
The Financial Restructuring Tool Set: How to Fix Your Broken Balance Sheet
Excessive corporate debt can lead to financial distress, which prevents a business from realizing its full potential. When this occurs, a company transforms into a “zombie,” incapable of making essential investments for its future growth or…
An Equilibrium Model of Deferred Prosecution Agreements
Deferred prosecution agreements (DPAs) are now a standard tool used by prosecutors to punish corporate crime. Under a DPA, the defendant escapes prosecution by living up to the terms of the contract. However, if the prosecutor declares a breach,…
Associative Learning and Representativeness
The representativeness heuristic constitutes a striking departure from Bayesian updating. According to a strong form of the heuristic, agents reverse a conditioning argument: for example inferring that a patient is more likely than not to have a…
Aligning Model Properties via Conformal Risk Control
AI model alignment is crucial due to inadvertent biases in training data and the underspecified machine learning pipeline, where models with excellent test metrics may not meet end-user requirements. While post-training alignment via human…
Accounting and Innovation: Paths Forward for Research
Glaeser and Lang (2024; GL) reviews the accounting literature on innovation, which has increased substantially in recent years. GL makes an important contribution to accounting research by bringing into the literature the implications of Romer’s…
Choosing the “Right” Default Donation Amounts for Each Donor to Balance Multiple Fundraising Objectives
This report describes insights gleaned from the Data Fellows collaboration between PayPal and the Golub Capital Social Impact Lab at Stanford University’s Graduate School of Business. By embedding researchers in PayPal’s charitable giving team,…
Cultural Tightness and Resilience Against Environmental Shocks in Nonindustrial Societies
With climate change intensifying, building resilience against climate-related shocks is now a global imperative. Historically, many societies have faced natural hazards, with some adapting through specific social and cultural practices.…
Design-Robust Two-Way-Fixed-Effects Regression For Panel Data
We propose a new estimator for average causal effects of a binary treatment with panel data in settings with general treatment patterns. Our approach augments the popular two‐way‐fixed‐effects specification with unit‐specific weights that arise…