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2025
Working Paper

Private Equity and Workers: Modeling and Measuring Monopsony, Reallocation, and Trust

By: Kyle Herkenhoff, Josh Lerner, Gordon M. Phillips, Francisca Rebelo and Benjamin Sampson

We measure the real effects of private equity buyouts on worker outcomes by building a new database that links transactions to matched employer-employee data in the United States. To guide our empirical analysis, we derive testable implications from three theories in... View Details

Keywords: Monopsony; Market Power; Productivity; Private Equity; Employment; Wages; Employees

2025
Working Paper

Discrimination, Rejection, and Job Search

By: Anne Boring, Katherine Coffman, Dylan Glover and María José González-Fuentes

We investigate how candidates’ willingness to apply responds to (potential) discrimination and rejection using a simulated labor market. Past work has shown that “blinding” job applications reduces discrimination and increases the rate at which women are hired. Our... View Details

Keywords: Job Search; Prejudice and Bias; Selection and Staffing; Demographics

2025
Working Paper

Tax Planning, Illiquidity, and Credit Risks: Evidence from DeFi Lending

By: Lisa De Simone, Peiyi Jin and Daniel Rabetti

This study establishes a plausible causal link between tax-planning-induced illiquidity and credit risks in lending markets. Exploiting an exogenous tax shock imposed by the Internal Revenue Service (IRS) on cryptocurrency gains, along with millions of transactions in... View Details

Keywords: Taxation

2025
Working Paper

Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning

By: Liangzong Ma, Ta-Wei Huang, Eva Ascarza and Ayelet Israeli

Reinforcement learning (RL) offers potential for optimizing sequences of customer interactions by modeling the relationships between customer states, company actions, and long-term value. However, its practical implementation often faces significant challenges.... View Details

Keywords: Dynamic Policy; Deep Reinforcement Learning; Representation Learning; Dynamic Difficulty Adjustment; Latent Variable Models; Customer Relationship Management; Customer Value and Value Chain; Foreign Direct Investment; Analytics and Data Science

2025
Working Paper

The Hidden Costs of Working Multiple Jobs: Implications for Spending Behavior and Wellbeing

By: Paige Tsai and Ryan W. Buell

Problem definition: Amidst inflation, rising costs of living, an explosion in remote and gig working opportunities, and an increase in the part-time labor mix in economies around the world, it is becoming evermore commonplace for people to earn labor income... View Details

Keywords: Behavioral Operations; Employee Behavior; Job Design and Levels; Personal Finance; Well-being; Happiness; Satisfaction; Wages

2025
Article

Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments

By: Kosuke Imai and Michael Lingzhi Li

Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details

Keywords: AI and Machine Learning; Mathematical Methods; Analytics and Data Science

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September 2024
Article

Backstage Matters: Collective Energy and Information Sharing on Global Teams

By: Wenjie Ma, Leslie A. Perlow and Eunice Eun

It is well documented that information sharing – which is central to team effectiveness – is complicated by cultural and geographical factors. However, little is known about the process of information sharing between subgroups within global teams. Building on Goffman’s... View Details

Keywords: Knowledge Sharing; Groups and Teams; Geographic Scope

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2024
Working Paper

The Operational Impact of Customer Location in On-Demand Services

By: Natalie Epstein, Santiago Gallino and Antonio Moreno

The rapid growth of on-demand delivery services, particularly in the food and grocery sectors, has driven the expansion of hyperlocal fulfillment centers (FCs). This paper uses data from an on-demand grocery delivery platform in Latin America to assess how customer... View Details

Keywords: Consumer Behavior; Logistics; Geographic Location; Service Delivery; Quality; Retail Industry; Latin America

2024
Working Paper

Determinants of Top-Down Sabotage

By: Hashim Zaman and Karim R. Lakhani

We investigate the conditions that motivate managers to impede the growth of talented subordinates due to fears of future competition for their own positions. Our research expands on existing tournament and contest theory literature that considers peer-to-peer sabotage... View Details

Keywords: Succession Planning; Organizational Hierarchy; Compensation; Promotions; Tournaments; Talent and Talent Management; Organizational Structure; Employee Relationship Management; Performance Evaluation; Organizational Culture; Management Skills

2024
Working Paper

The Wade Test: Generative AI and CEO Communication

By: Prithwiraj Choudhury, Bart S. Vanneste and Amirhossein Zohrehvand

Can generative artificial intelligence (AI) transform the role of the CEO by effectively automating CEO communication? This study investigates whether AI can mimic a human CEO and whether employees’ perception of the communication’s source matter. In a field... View Details

Keywords: Business or Company Management; AI and Machine Learning; Perception; Communication

2024
Article

Crucibles, Multiple Sensitive Periods, and Career Progression

By: Prithwiraj Choudhury, Sunasir Dutta, Hise O. Gibson and Eric Lin

We study the effects of crucible experiences along multiple sensitive periods on career progression. While prior literature has hinted that individuals can be imprinted during multiple sensitive periods, not just during the early career, there has been scant attention... View Details

Keywords: Military Service; Personal Development and Career; Transformation; Power and Influence; Learning; Human Capital

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August 2024
Article

How Do Copayment Coupons Affect Branded Drug Prices and Quantities Purchased?

By: Leemore S. Dafny, Kate Ho and Edward Kong

Drug copayment coupons to reduce patient cost-sharing have become nearly ubiquitous for high-priced brand-name prescription drugs. Medicare bans such coupons on the grounds that they are kickbacks that induce utilization, but they are commonly used by... View Details

Keywords: Prescription Drugs; Coupons; Impact; Health Care and Treatment; Markets; Price; Spending; Pharmaceutical Industry; United States

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2024
Working Paper

Smaller than We Thought? The Effect of Automatic Savings Policies

By: James J. Choi, David Laibson, Jordan Cammarota, Richard Lombardo and John Beshears

Medium- and long-run dynamics undermine the effect of automatic enrollment and default savings-rate auto-escalation on retirement savings. Our analysis of 401(k) plans incorporates the facts that employees frequently leave firms (often before matching contributions... View Details

Keywords: Personal Finance; Saving; Retirement; Behavioral Finance; Compensation and Benefits

July 2024
Article

A (Dynamic) Investigation of Stereotypes, Belief-Updating, and Behavior

By: Katherine B. Coffman, Paola Ugalde Araya and Basit Zafar

Many decisions—such as what educational or career path to pursue—are dynamic in nature, with individuals receiving feedback at one point in time and making decisions later. Using a controlled experiment, with two sessions one week apart, we analyze the dynamic effects... View Details

Keywords: Feedback; Beliefs; Stereotypes; Self-assessment; Gender Gap; Gender; Equality and Inequality; Perception; Decision Choices and Conditions

2024
Working Paper

Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization

By: Ta-Wei Huang, Eva Ascarza and Ayelet Israeli

This paper introduces Incrementality Representation Learning (IRL), a novel multitask representation learning framework that predicts heterogeneous causal effects of marketing interventions. By leveraging past experiments, IRL efficiently designs and targets... View Details

Keywords: Heterogeneous Treatment Effect; Multi-task Learning; Representation Learning; Personalization; Promotion; Deep Learning; Field Experiments; Customer Focus and Relationships; Customization and Personalization

2024
Working Paper

Winner Take All: Exploiting Asymmetry in Factorial Designs

By: Matthew DosSantos DiSorbo, Iavor I. Bojinov and Fiammetta Menchetti

Researchers and practitioners have embraced factorial experiments to simultaneously test multiple treatments, each with different levels. With the rise of technologies like Generative AI, factorial experimentation has become even more accessible: it is easier than ever... View Details

Keywords: Factorial Designs; Fisher Randomizations; Rank Estimators; Employer Interventions; Causal Inference; Mathematical Methods; Performance Improvement

2024
Working Paper

Advancing Personalization: How to Experiment, Learn & Optimize

By: Aurelie Lemmens, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela and Oded Netzer

Personalization has become the heartbeat of modern marketing. Advances in causal inference and machine learning enable companies to understand how the same marketing action can impact the choices of individual customers differently. This article provides an academic... View Details

Keywords: Personalization; Targeting; Experiments; Observational Studies; Policy Implementation; Policy Evaluation; Customization and Personalization; Marketing Strategy; AI and Machine Learning

April 2024 (Revised July 2024)
Case

Market Dynamics and Moral Dilemmas: Novo Nordisk’s Weight-Loss Drugs

By: Joseph L. Badaracco, Tom Quinn and John Schultz

Danish pharmaceutical company Novo Nordisk was owned by a charitable foundation, and since its founding in the 1920s had focused on producing insulin to treat diabetes. In 2017, however, it released Ozempic, a diabetes treatment with the revolutionary side effect of... View Details

2023
Working Paper

An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits

By: Biyonka Liang and Iavor I. Bojinov

Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the... View Details

Keywords: Analytics and Data Science; AI and Machine Learning; Mathematical Methods

March 2024
Article

How Foes Become Allies: The Shifting Role of Business in Climate Politics

By: Irja Vormedal and Jonas Meckling

Firms often oppose costly public policy reforms—but under what conditions may they come to support such reforms? Previous scholarship has taken a predominantly static approach to the analysis of business positions. Here, we advance a dynamic theory of change in... View Details

Keywords: Policy; Environmental Regulation; Business and Government Relations

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