Publications
Publications
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- All HBS Web
(748)
- Faculty Publications (215)
- 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
- December 2022
- Article
'Just Letting You Know…': Underestimating Others' Desire for Constructive Feedback
By: Nicole Abi-Esber, Jennifer E. Abel, Juliana Schroeder and Francesca Gino
People often avoid giving feedback to others even when it would help fix a problem immediately. Indeed, in a pilot field study (N=155), only 2.6% of individuals provided feedback to survey administrators that the administrators had food or marker on their faces.... View Details
- 2022
- Article
Becoming a Learning Organization While Enhancing Performance: The Case of LEGO
By: Thomas Borup Kristensen, Henrik Saabye and Amy Edmondson
Purpose - The purpose of this study is to empirically test how problem-solving lean practices, along with
leaders as learning facilitators in an action learning approach, can be transferred from a production context to a
knowledge work context for the purpose... View Details
- October 2022
- Article
Underestimating Counterparts' Learning Goals Impairs Conflictual Conversations
By: Hanne K. Collins, Charles A. Dorison, Francesca Gino and Julia A. Minson
Given the many contexts in which people have difficulty engaging with views that disagree with their own— from political discussions to workplace conflicts—it is critical to understand how conflictual conversations can be improved. Whereas previous work has focused on... View Details
- September 2022
- Technical Note
Addressing Social Determinants of Health in the American Landscape
By: Susanna Gallani and Jacob Riegler
Social determinants of health (SDOH) have gained significant attention in recent years. A growing body of research shows that a person’s health is influenced by a large number of non-genetic factors, most of which operate outside the realm of health care and are... View Details
- September 2022
- Article
Loneliness Versus Distress: A Comparison of Emotion Regulation Profiles
By: Alyssa J. Tan, Vincent Mancini, James J. Gross, Amit Goldenberg, Johanna C. Badcock, Michelle H. Lim, Rodrigo Becerra, Ben Jackson and David A. Preece
Loneliness, a negative emotion stemming from the perception of unmet social needs, is a major public health concern. Current interventions often target social domains but produce small effects and are not as effective as established emotion regulation (ER)-based... View Details
Keywords: Emotions
- August 2022
- Case
Rocket Learning: Evidence in Action
By: Brian Trelstad, Tomas Rosales and Malini Sen
Founders of Rocket Learning, an India-based nonprofit which focused on early childhood education (ECE), received an invitation from MIT’s Abdul Latif Jameel Poverty Action Lab (JPAL), a development research organization, to test its intervention for ECE with a... View Details
- Article
All Eyes on Them: A Field Experiment on Citizen Oversight and Electoral Integrity
By: Natalia Garbiras-Díaz and Mateo Montenegro
Can information and communication technologies help citizens monitor their elections? We analyze a large-scale field experiment designed to answer this question in Colombia. We leveraged Facebook advertisements sent to over 4 million potential voters to encourage... View Details
- 2024
- Working Paper
Do Collusive Norms Maximize Profits? Evidence From a Vegetable Market Experiment in India
By: Abhijit Banerjee, Greg Fischer, Dean Karlan, Matt Lowe and Benjamin N. Roth
Social norms have been shown to facilitate anti-competitive behavior in decentralized markets.
We demonstrate that these norms can also reduce aggregate profits. First, we present
descriptive evidence of competition-suppressing norms in Kolkata vegetable markets.... View Details
- 2022
- Working Paper
Banking on Transparency for the Poor: Experimental Evidence from India
By: Erica M. Field, Natalia Rigol, Charity M. Troyer Moore, Rohini Pande and Simone G. Schaner
Do information frictions limit the benefits of financial inclusion drives for the rural poor? We evaluate an experimental intervention among recently banked poor Indian women receiving government cash transfers via direct deposit. Treated women were provided automated... View Details
- 2023
- Working Paper
Behavioral Transmission: Evidence from a Public Health Campaign in Bangladesh
By: Reshmaan Hussam and Dayea Oh
We examine how behavior change transmits across contexts in the setting of hand hygiene in
rural Bangladesh. We randomize an edutainment intervention across classrooms to trace schoolto-home transmission in handwashing behavior and randomize the proportion of students... View Details
- 2022
- Chapter
Lessons Learned from Support to Business during COVID-19
By: Gabriel Chodorow-Reich, Benjamin Iverson and Adi Sunderam
The authors survey the new federal subsidies and loans provided to businesses in the first year of the pandemic—including the Paycheck Protection Program (PPP), the Economic Injury Disaster Loan (EIDL) program, and aid targeted at specific industries such as airlines... View Details
- 2022
- Other Teaching and Training Material
Organizational Behavior Reading: Managing Differences
By: Robin Ely and Colleen Ammerman
This reading provides principles and practices managers can draw upon to leverage differences in social identities - such as gender and race - to create more effective work relationships, teams, and organizations. The Essential Reading's first section draws upon... View Details
- 2022
- Working Paper
THEMIS: A Framework for Cost-Benefit Analysis of COVID-19 Non-Pharmaceutical Interventions
By: Dimitris Bertsimas, Michael Lingzhi Li and Saksham Soni
Since December 2019, the world has been ravaged by the COVID-19 pandemic, with over 150 million confirmed cases and 3 million confirmed deaths worldwide. To combat the spread of COVID-19, governments have issued unprecedented non-pharmaceutical interventions (NPIs),... View Details
Keywords: COVID-19; Health Pandemics; Policy; Framework; Cost vs Benefits; Outcome or Result; United States; Germany; Brazil; Singapore; Spain
- March 2022
- Article
Estimating the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models
By: Fiammetta Menchetti and Iavor Bojinov
Researchers regularly use synthetic control methods for estimating causal effects when a sub-set of units receive a single persistent treatment, and the rest are unaffected by the change. In many applications, however, units not assigned to treatment are nevertheless... View Details
- Article
A 680,000-Person Megastudy of Nudges to Encourage Vaccination in Pharmacies
By: Katherine L. Milkman, Linnea Gandhi, Mitesh S. Patel, Heather N. Graci, Dena M. Gromet, Hung Ho, Joseph S. Kay, Timothy W. Lee, Jake Rothschild, Jonathan E. Bogard, Ilana Brody, Christopher F. Chabris, Edward Chang, Gretchen B. Chapman, Jennifer E. Dannals, Noah J. Goldstein, Amir Goren, Hal Hershfield, Alex Hirsch, Jillian Hmurovic, Samantha Horn, Dean Karlan, Ariella S. Kristal, Cait Lamberton, Michael N. Meyer, Allison H. Oakes, Maurice E. Schweitzer, Maheen Shermohammed, Jaochim H. Talloen, Caleb Warren, Ashley V. Whillans, Kuldeep N. Yadav, Julian J. Zlatev, Ron Berman, Chalanda N. Evans, Rahul Ladhania, Jens Ludwig, Nina Mazar, Sendhil Mullainathan, Christopher K. Snider, Jann Spiess, Eli Tsukayama, Lyle Ungar, Christophe Van den Bulte, Kevin G. Volpp and Angela L. Duckworth
Encouraging vaccination is a pressing policy problem. To assess whether text-based reminders can encourage pharmacy vaccination and what kinds of messages work best, we conducted a megastudy. We randomly assigned 689,693 Walmart pharmacy patients to receive one of 22... View Details
- 2022
- Working Paper
Electoral Turnovers
By: Benjamin Marx, Vincent Pons and Vincent Rollet
In most national elections, voters face a key choice between continuity and change. Electoral turnovers occur when the incumbent candidate or party fails to win reelection. To understand how turnovers affect national outcomes, we study the universe of presidential and... View Details
- Article
Applying Human-Centered Design Principles to Digital Syndromic Surveillance at a Mass Gathering in India: Viewpoint
By: Ahmed Shaikh, Abhishek Bhatia, Ghanshyam Yadav, Shashwat Hora, Chung Won, Mark Shankar, Aaron Heerboth, Prakash Vemulapalli, Paresh Navalkar, Kunal Oswal, Clay Heaton, Sujata Saunik, Tarun Khanna and Satchit Balsari
In the wake of the COVID-19 pandemic, digital health tools have been deployed by governments around the world to advance clinical and population health objectives. Few interventions have been successful or have achieved sustainability or scale. In India, government... View Details
- Article
Megastudies Improve the Impact of Applied Behavioural Science
By: Katherine L. Milkman, Dena Gromet, Hung Ho, Joseph S. Kay, Timothy W. Lee, Pepi Pandiloski, Yeji Park, Aneesh Rai, Max Bazerman, John Beshears, Lauri Bonacorsi, Colin Camerer, Edward Chang, Gretchen Chapman, Robert Cialdini, Hengchen Dai, Lauren Eskreis-Winkler, Ayelet Fishbach, James J. Gross, Samantha Horn, Alexa Hubbard, Steven J. Jones, Dean Karlan, Tim Kautz, Erika Kirgios, Joowon Klusowski, Ariella Kristal, Rahul Ladhania, Jens Ludwig, George Loewenstein, Barbara Mellers, Sendhil Mullainathan, Silvia Saccardo, Jann Spiess, Gaurav Suri, Joachim H. Talloen, Jamie Taxer, Yaacov Trope, Lyle Ungar, Kevin G. Volpp, Ashley V. Whillans, Jonathan Zinman and Angela L. Duckworth
Policy-makers are increasingly turning to behavioural science for insights about how to improve citizens’ decisions and outcomes. Typically, different scientists test different intervention ideas in different samples using different outcomes over different time... View Details
- Article
A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects
By: Edward McFowland III, Sandeep Gangarapu, Ravi Bapna and Tianshu Sun
We define a prescriptive analytics framework that addresses the needs of a constrained decision-maker facing, ex ante, unknown costs and benefits of multiple policy levers. The framework is general in nature and can be deployed in any utility maximizing context, public... View Details