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Publications
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- 2025
- White Paper
Governors Reshaping Workforce Development: Turning WIOA Challenges into Workforce Solutions
By: Joseph B. Fuller, Kerry McKittrick, Nathalie Gazzaneo, Ariel Higuchi, Justine Gluck, Zoe Butler, Jack Porter and Malena Dailey
The Workforce Innovation and Opportunity Act (WIOA) grants Governors significant authority to shape their state workforce systems. Yet, little research explores how they use those powers to strengthen their economies and expand access to employment and training.... View Details
- 2025
- Working Paper
Training Within Firms
By: Brayan Diaz, Andrea Neyra-Nazarrett, Julian Ramirez, Raffaella Sadun and Jorge Tamayo
Training investments are essential for improving worker and firm productivity, yet their
implementation is often hindered by low participation rates and insufficient worker engagement.
This study uses data from three firms–a car manufacturer, a quick-service... View Details
- 2025
- Book
The World Is Your Office: How Work from Anywhere Boosts Talent, Productivity, and Innovation
A research-based look at a growing phenomenon—companies allowing their employees to work from anywhere in the world—and how those who adopt this model can boost talent, innovation, and productivity.
In recent years, companies in a wide range of industries have... View Details
In recent years, companies in a wide range of industries have... View Details
- 2025
- Working Paper
Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning
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
- 2024
- Working Paper
Behavioral Attenuation
By: Thomas Graeber, Benjamin Enke, Ryan Oprea and Jeffrey Yang
We report a large-scale examination of behavioral attenuation: due to information-processing constraints, the elasticity of people’s decisions with respect to economic fundamentals is generally too small. We implement more than 30 experiments, 20 of which were... View Details
- 2024
- Article
Learning Under Random Distributional Shifts
By: Kirk Bansak, Elisabeth Paulson and Dominik Rothenhäusler
Algorithmic assignment of refugees and asylum seekers to locations within host
countries has gained attention in recent years, with implementations in the U.S.
and Switzerland. These approaches use data on past arrivals to generate machine
learning models that can... View Details
- September 2024
- Article
Political Elite Cues and Attitude Formation in Post-Conflict Contexts
By: Natalia Garbiras-Díaz, Miguel Garcia-Sanchez and Aila M. Matanock
Civil conflicts typically end with negotiated settlements, but many settlements fail, often during the implementation stage when average citizens have increasing influence. Citizens sometimes evaluate peace agreements by voting on referendums or the negotiating... View Details
Keywords: Civil Unrest; Peace Process; Political Leadership; Peace; Politics; Policy Change; Policy; Government and Politics; Government Administration; Governance; Political Elections; Civil Society or Community; Negotiation; Negotiation Participants; Public Relations Industry; Colombia; Latin America; South America
- 2024
- Working Paper
Webmunk: A New Tool for Studying Online Behavior and Digital Platforms
By: Chiara Farronato, Andrey Fradkin and Chris Karr
Understanding the behavior of users online is important for researchers, policymakers, and private companies alike. But observing online behavior and conducting experiments is difficult without direct access to the user base and software of technology companies. We... View Details
- 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
- 2024
- Working Paper
The Cram Method for Efficient Simultaneous Learning and Evaluation
By: Zeyang Jia, Kosuke Imai and Michael Lingzhi Li
We introduce the "cram" method, a general and efficient approach to simultaneous learning and evaluation using a generic machine learning (ML) algorithm. In a single pass of batched data, the proposed method repeatedly trains an ML algorithm and tests its empirical... View Details
Keywords: AI and Machine Learning
- February 2024
- Case
Can Cities Beat the Heat? (A): A Comparative Analysis of Climate Actions and Change Enablers in 14 U.S. Cities
By: Rosabeth Moss Kanter and Jacob A. Small
Throughout the early 2000's, emphasis was placed on initiatives to adapt to and mitigate climate action in cities. This series presents overviews (snapshots) of 14 U.S. metropolitan regions to help identify similarities, differences, and opportunities for developing... View Details
Keywords: Climate; Climate Impact; Innovation; Mitigation Policies; Carbon Footprint; Investing; Climate Finance; Renewable; Mobility; City; Climate Change; Adaptation; Renewable Energy; Weather; Problems and Challenges; United States; Boston; Detroit; Miami; Minneapolis; St. Paul; Pittsburgh; Seattle; San Jose
- 2023
- Working Paper
Do Third-Party Guarantors Reassure Foot Soldiers?
By: Natalia Garbiras-Díaz, Michael Weintraub, Leopoldo Fergusson, Juana Catalina Garcia Duque and Laia Balcells
Since the end of the Cold War, international third parties such as the United Nations (UN) have become frequent guarantors of peace agreements. Existing studies document that third parties provide assurances that help maintain peace, yet these studies nearly... View Details
- June 2023
- Article
The Effect of Firms' Information Exposure on Safeguarding Employee Health: Evidence from COVID-19
By: Lisa Yao Liu and Shirley Lu
We show that information exposure through international business networks enables firms to take proactive measures that benefit employees and potentially the local community. Specifically, in the early days of COVID-19, firms that have business networks with China and... View Details
- Article
Do Citizens’ Preferences Matter? Shaping Legislator Attitudes Towards Peace Agreements
By: Miguel García-Sánchez, Aila M. Matanock and Natalia Garbiras-Díaz
To what extent are legislators, responsible for the implementation of many peace agreements, responsive to citizens’ preferences? Examining the 2016 Colombian peace agreement, we embed an experiment in the 2019 wave of a survey of all the members of Congress. We inform... View Details
- January–February 2023
- Article
Forecasting COVID-19 and Analyzing the Effect of Government Interventions
By: Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis and Dimitris Bertsimas
We developed DELPHI, a novel epidemiological model for predicting detected cases and deaths in the prevaccination era of the COVID-19 pandemic. The model allows for underdetection of infections and effects of government interventions. We have applied DELPHI across more... View Details
- 2023
- Article
Experimental Evaluation of Individualized Treatment Rules
By: Kosuke Imai and Michael Lingzhi Li
The increasing availability of individual-level data has led to numerous applications of individualized (or personalized) treatment rules (ITRs). Policy makers often wish to empirically evaluate ITRs and compare their relative performance before implementing them in a... View Details
- 2022
- Working Paper
The Limits of Decentralized Administrative Data Collection: Experimental Evidence from Colombia
By: Natalia Garbiras-Diaz and Tara Slough
States collect vast amounts of data for use in policymaking and public administration. To
do so, central governments frequently solicit data from decentralized bureaucrats. Because
central governments use these data in policymaking, decentralized bureaucrats may face... View Details
- 2022
- Report
Competitiveness Roadmap for India@100
By: Michael E. Porter and Christian H.M. Ketels
The Competitiveness Roadmap for India lays out policy principles to guide India's efforts to move towards middle-income and beyond over the next 25 years. It covers a discussion of appropriate outcome ambitions, the underlying development approach, specific policy... View Details
- September 2022 (Revised November 2022)
- Case
The Uyghur Forced Labor Prevention Act: Trade and Genocide in U.S.-China Relations
By: Jeremy Friedman and David Lane
On June 21, 2022, the Uyghur Forced Labor Prevention Act (UFLPA) went into effect, requiring companies to prove that goods imported from the People’s Republic of China were not made with forced labor. The bill was a reaction to reports of products being made with... View Details
Keywords: Ethics; Multinational Firms and Management; Globalized Markets and Industries; Governing Rules, Regulations, and Reforms; Policy; Government Legislation; International Relations; Labor; Wages; Law Enforcement; Law; Rights; Operations; Supply Chain Management; Business and Government Relations; Agriculture and Agribusiness Industry; Manufacturing Industry; Mining Industry; China; United States
- August 2022 (Revised December 2022)
- Case
Iluméxico: For Every Family to Have Power
By: Brian Trelstad, Isa Oliveres and Jenyfeer Martinez Buitrago
In 2022, Manuel Wiechers, the CEO of Iluméxico, a for-profit social enterprise that provided off-grid solar energy services in rural Mexico, was finalizing his presentation for the company’s upcoming board meeting. In the 12 years since Wiechers had co-founded... View Details