Publications
Publications
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- All HBS Web
(3,792)
- Faculty Publications (479)
- 2022
- Working Paper
Slowly Varying Regression under Sparsity
By: Dimitris Bertsimas, Vassilis Digalakis Jr, Michael Lingzhi Li and Omar Skali Lami
We consider the problem of parameter estimation in slowly varying regression models with sparsity constraints. We formulate the problem as a mixed integer optimization problem and demonstrate that it can be reformulated exactly as a binary convex optimization problem... View Details
Keywords: Mathematical Methods
- August 2022
- Exercise
Joy4Home Brands: Pricing Matters
By: Elie Ofek, Oded Koenigsberg and Marco Bertini
Joy4Home Brands, the maker of novel houseware items, was gearing up for its launch. The company would be introducing two lines: kitchenware products and storage containers. The initial go-to-market plan called for a direct to consumer (DTC) channel strategy. While... View Details
- 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
- Article
The Value of Intermediation in the Stock Market
By: Marco Di Maggio, Mark Egan and Francesco Franzoni
We estimate a structural model of broker choice to quantitatively decompose the value that institutional investors attach to broker services. Studying over 300 million institutional equity trades, we find that investors are sensitive to both explicit and implicit... View Details
- July 2022
- Case
Yinglan Tan: Scaling a Venture Capital Firm in Southeast Asia
By: Josh Lerner and Richard Zhu
Yinglan Tan considered the future of his young Singapore-based venture capital firm. On the one hand, the intuition that was behind the initial creation of Insignia in 2017 had been proven correct. The venture capital market in Southeast Asia had grown rapidly, driven... View Details
- 2022
- Working Paper
Pricing Power in Advertising Markets: Theory and Evidence
By: Matthew Gentzkow, Jesse M. Shapiro, Frank Yang and Ali Yurukoglu
Existing theories of media competition imply that advertisers will pay a lower price in equilibrium to reach consumers who multi-home across competing outlets. We generalize and extend this theoretical result and test it using data from television and social media... View Details
- June 2022 (Revised October 2022)
- Background Note
Digital Commerce and Delivery: Preparing Food and Retail Value Chains for a 50-50 World
By: William R. Kerr, Daniel O'Connor, Paige Boehmcke and Will Ensor
Increasing digitalization of grocery retail and quick commerce reveals insights about managing complex supply chains at scale and shifting revenue streams from product sales to data monetization. How are the roles of retailers changing? What happens if marginal cost... View Details
Keywords: Grocery Delivery; Grocery; Digitalization; Fulfillment; Delivery; Supply Chain; Disruption; Food; Supply Chain Management; Market Design; Trends; Value Creation; Goods and Commodities; Customer Value and Value Chain; Digital Transformation; Retail Industry; Food and Beverage Industry; United States; China
- 2022
- Article
How to Choose a Default
By: John Beshears, Richard T. Mason and Shlomo Benartzi
We have developed a model for setting a default when a population is choosing among ordered choices—that is, ones listed in ascending or descending order. A company, for instance, might want to set a default contribution rate that will increase employees’ average... View Details
- May 2022
- Case
Thinking Outside the Wine Box (A): Mekanism and the Franz for Life Campaign
This case provides an overview of “Franz for Life,” an advertising campaign that independent advertising agency Mekanism created and executed to revitalize the brand image of Franzia, a low-cost boxed wine. For several years, Franzia’s popularity declined among... View Details
- 2022
- Article
Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis.
By: Martin Pawelczyk, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay and Himabindu Lakkaraju
As machine learning (ML) models become more widely deployed in high-stakes applications, counterfactual explanations have emerged as key tools for providing actionable model explanations in practice. Despite the growing popularity of counterfactual explanations, a... View Details
- April 2022 (Revised August 2022)
- Case
Conflicts of Interest at Uptown Bank
By: Jonas Heese
In 2013, two employees debated whether to blow the whistle on their employer, Bell Bank, after completing an internal review that revealed undisclosed conflicts of interest. Bell Bank’s Asset Management business disproportionately invested clients’ money in Bell Bank’s... View Details
Keywords: Whistleblower; Whistleblowing; Mutual Funds; Conflicts Of Interest; Decision Making; Decisions; Judgments; Ethics; Moral Sensibility; Values and Beliefs; Finance; Financial Institutions; Banks and Banking; Financial Management; Investment; Investment Funds; Governance; Corporate Accountability; Corporate Disclosure; Corporate Governance; Governance Compliance; Governance Controls; Policy; Law; Legal Liability; Social Psychology; Motivation and Incentives; Perception; Perspective; Trust; Financial Services Industry; North and Central America; United States
- 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
- April–June 2022
- Other Article
Commentary on 'Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters'
There has been a substantial discussion in various methodological and applied literatures around causal inference; especially in the use of machine learning and statistical models to understand heterogeneity in treatment effects and to make optimal decision... 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 (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
- Supplement
Pakistan Rising: Bazaar's Growth Story (B)
By: Paul A. Gompers and Gamze Yucaoglu
The case opens in January 2022 as Hamza Jawaid and Saad Jangda, co-founders of Bazaar technologies (Bazaar), the Pakistani high growth B2B e-commerce marketplace, are looking over the performance of the newly launched “buy now, play later” feature. The traction looks... View Details
- March 2022
- Article
Assessing the Impact of the COVID-19 Pandemic on Clinician Ambulatory Electronic Health Record Use
By: A Jay Holmgren, Lance Downing, Mitchell Tang, Christopher Sharp, Christopher Longhurst and Robert S. Huckman
Objective: The COVID-19 pandemic changed clinician electronic health record (EHR) work in a multitude of ways. To evaluate how, we measure ambulatory clinician EHR use in the United States throughout the COVID-19 pandemic.
Materials and Methods: We use EHR... View Details
Materials and Methods: We use EHR... 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
- 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
- 2022
- Working Paper
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju
As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how... View Details