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- Article
How Much Should We Trust Staggered Difference-In-Differences Estimates?
By: Andrew C. Baker, David F. Larcker and Charles C.Y. Wang
We explain when and how staggered difference-in-differences regression estimators, commonly applied to assess the impact of policy changes, are biased. These biases are likely to be relevant for a large portion of research settings in finance, accounting, and law that... View Details
- 2022
- Chapter
Of Learning and Forgetting: Centrism, Populism, and the Legitimacy Crisis of Globalization
By: Rawi Abdelal
Every order is a bargain with disappointments and trade-offs. Thus is every order an unstable equilibrium. The first era of globalization, circa 1870–1914, created both international prosperity and domestic instability. That instability was fully realized during the... View Details
- Article
Present Bias Causes and Then Dissipates Auto-enrollment Savings Effects
By: John Beshears, James J. Choi, David Laibson and Peter Maxted
Present bias causes procrastination, which leads households to stick with auto-enrollment defaults. However, present bias also engenders overconsumption. Separation from each employer generates a rollover of 401(k) balances to an individual retirement account (IRA)... View Details
- 2022
- Article
Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods.
By: Chirag Agarwal, Marinka Zitnik and Himabindu Lakkaraju
As Graph Neural Networks (GNNs) are increasingly employed in real-world applications, it becomes critical to ensure that the stakeholders understand the rationale behind their predictions. While several GNN explanation methods have been proposed recently, there has... View Details
- 2022
- Working Paper
An Anatomy of Performance Monitoring
By: Achyuta Adhvaryu, Anant Nyshadham and Jorge Tamayo
Performance monitoring is a mainstay management tool in most organizations. Yet we still know little about whether—and why—better monitoring yields better performance in practice. To shed light on these questions, we study the introduction of a performance monitoring... View Details
Keywords: Performance Monitoring; Worker Skills; Skill Depreciation; Managerial Inattention; On-the-job Training; Productivity; Multitasking; Quick Serve Restaurants; Performance Evaluation; Employees; Competency and Skills; Training; Performance Productivity; Management; Information Technology; Food and Beverage Industry; Puerto Rico
- April 12, 2022
- Article
Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States
By: Estee Y. Cramer, Evan L. Ray, Velma K. Lopez, Johannes Bracher, Andrea Brennen, Alvaro J. Castro Rivadeneira, Michael Lingzhi Li and et al.
Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general public and decision-makers. Forecasting models... 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
- Teaching Note
Inclusive Innovation at Mass General Brigham
By: Katherine Coffman and Olivia Hull
Teaching Note for HBS Case No. 921-006, “Inclusive Innovation at Mass General Brigham." This case invites students to explore the individual and structural factors that lead to an under-representation of women in male-dominated domains, and to think critically about... View Details
- 2022
- Article
Social Interactivity in Live Video Experiences Reduces Loneliness
By: Benjamin T. Kaveladze, Robert R. Morris, Rosa Victoria Dimitrova-Gammeltoft, Amit Goldenberg, James J. Gross, Judd Antin, Melissa Sandgren and Melissa C. Thomas-Hunt
Background: Loneliness, especially when chronic, can substantially reduce one's quality of life. However, positive social experiences might help to break cycles of loneliness by promoting more prosocial cognitions and behaviors. Internet-mediated live video... View Details
- 2023
- Working Paper
Can Evidence-Based Information Shift Preferences Towards Trade Policy?
By: Laura Alfaro, Maggie X. Chen and Davin Chor
Amid public skepticism about trade, we investigate whether evidence-based information--a concise statement of a research finding--can shape preferences towards trade policy. Across survey experiments conducted over 2018-2022 on U.S. general population samples, we... View Details
- March 2022
- Background Note
Climate Challenges for Cities: Introduction to Issues and Actions in the United States
By: Rosabeth Moss Kanter and Catarina Mia Martinez
This background Note introduces the implications of climate change (global warming) for American cities. In the U.S., partisan political divides and unaddressed economic and racial disparities in climate vulnerabilities can inhibit action. The two main fronts for... View Details
Keywords: Climate Change; Cities; Emission Reduction; Change; Change Leadership; Electric Power Generation; Transportation; Recycling; Green Business; Green Building; Ecosystem; Construction; Systems Change; Cross-sector Collaboration; Adaptation; Geographic Location; Resource Allocation; Infrastructure; Government and Politics; Social Issues; Urban Development; United States
- March 2022 (Revised March 2024)
- Case
Hometown Foods: Changing Price amid Inflation
During the early part of the 2021 Covid-19 pandemic, Hometown Foods, a large seller of flour-based products, thrived as consumers hoarded baked goods and took up baking to pass the time and find comfort. Then, amid growing shortages in commodities, a vaccine arrived,... View Details
- Article
Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)
By: Eva Ascarza and Ayelet Israeli
An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”... View Details
- March 8, 2022
- Article
Women Can’t Go Back to the Pre-Pandemic Status Quo
By: Colleen Ammerman and Boris Groysberg
Survey data collected in 2018 and 2019 from Harvard Business School graduates revealed that for women—and especially women of color—well-being at work was suffering long before the pandemic. While 17% of all respondents said that they often or very often experienced... View Details
- March 2022 (Revised February 2023)
- Case
Pakistan Rising: Bazaar's Growth Story (A)
By: Paul A. Gompers and Gamze Yucaoglu
The case opens in September 2021 as Hamza Jawaid and Saad Jangda, co-founders of Bazaar technologies (Bazaar), the Pakistani high growth B2B e-commerce marketplace, are contemplating whether the year-and-a half old startup should also venture into offering financing to... View Details
- 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
- 2022
- Article
Open or Closed? Your Mind, Your Decision!
By: Gerald Zaltman
The marketing profession faces challenging times. The shelf life for decisions and the half-life of the knowledge used, are becoming shorter and shorter while the problems addressed are becoming messier. Fortunately, the emergence of what I call the “prosthetic age” is... View Details
- 2022
- Working Paper
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
- Article
The Messy but Essential Pursuit of Purpose
By: Ranjay Gulati
Most forward-thinking executives have embraced the notion that purpose-driven companies can solve social and environmental problems while also generating wealth, creating win-win outcomes that benefit everyone. But ideal solutions are rare. Many purpose-driven... View Details
- March 2022
- Article
When Less Is More: Consumers Prefer Brands that Donate More in Relative versus Absolute Terms
By: Elizabeth A. Keenan, Anne V. Wilson and Leslie K. John
When trying to make a good impression on consumers through charitable giving, is it better for brands to maximize the overall dollars they donate or how much they give in relative terms; for example, the proportion of profits? Across five studies we show that consumers... View Details