Publications

2025
Working Paper

Incentive-Compatible Recovery from Manipulated Signals, with Applications to Decentralized Physical Infrastructure

By: Jason Milionis, Jens Ernstberger, Joseph Bonneau, Scott Duke Kominers and Tim Roughgarden

We introduce the first formal model capturing the elicitation of unverifiable information from a party (the "source") with implicit signals derived by other players (the "observers"). Our model is motivated in part by applications in decentralized physical... View Details

Keywords: Mathematical Methods; Infrastructure; Information Infrastructure

2025
Working Paper

Crossing the Design-Use Divide: How Process Manipulation Shapes the Design and Use of AI

By: Rebecca Karp

Existing literature often separates research on the design of innovations from their implementation and use, neglecting the role of selection—how organizations choose which innovations to implement. Although scholars suggest scientific approaches for selecting novel... View Details

Keywords: Decision Choices and Conditions; Technology Adoption; Groups and Teams; Prejudice and Bias

2025
Working Paper

Home Sweet Home: How Much Do Employees Value Remote Work?

By: Zoë B. Cullen, Bobak Pakzad-Hurson and Ricardo Perez-Truglia

We estimate the value employees place on remote work using revealed preferences in a high-stakes, real-world context, focusing on U.S. tech workers. On average, employees are willing to accept a 25% pay cut for partly or fully remote roles. Our estimates are three to... View Details

Keywords: Employees; Compensation and Benefits; Satisfaction; Value; Research

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

December 5, 2024
Article

A Consensus Definition of Creativity in Surgery: A Delphi Study Protocol

By: Alex Thabane, Tyler McKechnie, Phillip Staibano, Vikram Arora, Goran Calic, Jason W. Busse, Sameer Parpia and Mohit Bhandari

Introduction
Clear definitions are essential in science, particularly in the study of abstract phenomena like creativity. Due to its inherent complexity and domain-specific nature, the study of creativity has been complicated, as evidenced by the various... View Details

Keywords: Creativity; Health Care and Treatment; Outcome or Result; Measurement and Metrics

December 2024
Article

Respect for Improvements and Comparative Statics in Matching Markets

By: Scott Duke Kominers

One of the oldest results in the theory of two-sided matching is the entry comparative static, which shows that under the Gale–Shapley deferred acceptance algorithm, adding a new agent to one side of the market makes all the agents on the other side weakly... View Details

Keywords: Market Entry and Exit; Marketplace Matching; Mathematical Methods; Market Design

November 2024
Article

Preference Externality Estimators: A Comparison of Border Approaches and IVs

By: Xi Ling, Wesley R. Hartmann and Tomomichi Amano

This paper compares two estimators—the Border Approach and an Instrumental Variable (IV) estimator—using a unified framework where identifying variation arises from “preference externalities,” following the intuition in Waldfogel (2003). We highlight two dimensions in... View Details

Keywords: Econometrics; Casual Inference; Marketing; Economics; Advertising; Mathematical Methods

October 2024
Case

Parexel: Scaling Up and Industry Dynamics

By: Regina E. Herzlinger and Ben Creo

Through the lens of biopharmaceutical contract research organization (CRO) PAREXEL, this case traces the evolution of the firm as it reinvents itself in response to the transformation of the CRO sector from a small, secondary cluster of firms into a major player with... View Details

Keywords: Research; Innovation and Invention; Business Model; Transformation; Globalization; Information Technology; Competitive Advantage; Pharmaceutical Industry

2024
Working Paper

Pitfalls of Demographic Forecasts of U.S. Elections

By: Richard Calvo, Vincent Pons and Jesse M. Shapiro

Many observers have forecast large partisan shifts in the US electorate based on demographic trends. Such forecasts are appealing because demographic trends are often predictable even over long horizons. We backtest demographic forecasts using data on US elections... View Details

Keywords: Mathematical Methods; Voting; Political Elections; Trends; Forecasting and Prediction; Demographics

September 2024
Case

Myeloma Investment Fund

By: Kyle Myers and Scott Sawaya

This case explores a critical decision facing the Myeloma Investment Fund (MIF) as it evaluates two investment opportunities aimed at accelerating a cure for multiple myeloma.

The MIF, a venture philanthropy fund, must choose between two distinct paths. One... View Details

Keywords: Venture Philanthropy; Biomedical Research; Investing For Impact; Innovation ＆ Entrepreneurship; Venture Capital; Science-Based Business; Philanthropy and Charitable Giving; Decision Making; Health Care and Treatment; Biotechnology Industry; Pharmaceutical Industry

2024
Working Paper

Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python

By: Melissa Ouellet and Michael W. Toffel

This paper describes a range of best practices to compile and analyze datasets, and includes some examples in Stata, R, and Python. It is meant to serve as a reference for those getting started in econometrics, and especially those seeking to conduct data analyses in... View Details

Keywords: Empirical Methods; Empirical Operations; Statistical Methods And Machine Learning; Statistical Interferences; Research Analysts; Analytics and Data Science; Mathematical Methods

SSRN

2024
Working Paper

The New Digital Divide

By: Mayana Pereira, Shane Greenstein, Raffaella Sadun, Prasanna Tambe, Lucia Ronchi Darre, Tammy Glazer, Allen Kim, Rahul Dodhia and Juan Lavista Ferres

We build and analyze new metrics of digital usage that leverage telemetry data collected by Microsoft during operating system updates across forty million Windows devices in U.S. households. These measures of US household digital usage are much more comprehensive than... View Details

Keywords: Mathematical Methods; Measurement and Metrics; Geographic Location; Behavior; Technology Adoption; Demographics

2024
Working Paper

Modest Victims: Victims Who Decline to Broadcast Their Victimization Are Seen As Morally Virtuous

By: Nathan Dhaliwal, Jillian J. Jordan and Pat Barclay

What do people think of victims who conceal their victimhood? We propose that the decision to not broadcast that one has been victimized serves as a costly act of modesty—in doing so, one is potentially forgoing social support and compensation from one’s community. We... View Details

Keywords: Public Opinion; Mathematical Methods; Communication; Perception; Reputation

2024
Working Paper

People, Practices, and Productivity: A Review of New Advances in Personnel Economics

By: Mitchell Hoffman and Christopher T. Stanton

This chapter surveys recent advances in personnel economics. We begin by presenting evidence showing substantial and persistent productivity variation among workers in the same roles. We discuss new research on incentives and compensation; hiring practices; the... View Details

Keywords: Employees; Labor

July–August 2024
Article

Disclosing Downstream Emissions

By: Robert S. Kaplan and Karthik Ramanna

An increasing number of companies are using the E-liability carbon-accounting method as an important tool for tracking progress toward reducing global emissions in their supply chains. The system does not require formal accounting for downstream emissions—those... View Details

Keywords: Carbon Emissions; Environmental Accounting; Corporate Accountability; Corporate Social Responsibility and Impact; Corporate Disclosure; Environmental Sustainability

June 2024
Teaching Note

Numenta in 2020: The Future of AI

By: David B. Yoffie

In 2020, Numenta’s co-founder, Jeff Hawkins, completed his pathbreaking research on artificial intelligence. His co-founder and CEO, Donna Dubinsky, had to find a business model to monetize the technology. This teaching note explores the challenges of building a... View Details

Keywords: Artificial Intelligence; Monetization; Strategy; Intellectual Property; AI and Machine Learning; Business Model; Entrepreneurship; Technology Industry

June 2024
Case

SnapTravel: Betting on 'Super.com'

By: Reza Satchu and Tom Quinn

This case explores SnapTravel, a travel startup offering discounted hotel rooms, and its founders’ desire to pivot to a “super app” that saved customers money across many different purchase types. During the COVID-19 pandemic, Hussein Fazal and Henry Shi saw SnapTravel... View Details

June 2024 (Revised September 2024)
Case

Major League Baseball: Changing the Rules of America's Pastime

By: Stephen A. Greyser, Mac Levin and Brent Schwarz

This case describes the efforts of Major League Baseball (MLB) to make meaningful changes in the rules affecting the ways the game is played. These changes are intended to speed the pace of the game and make it more appealing to younger fans. The principal changes... View Details

Keywords: Change Management; Age; Games, Gaming, and Gambling; Leading Change; Organizational Change and Adaptation; Demand and Consumers; Sports Industry

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