Publications

May 2018 (Revised February 2019)
Case

The Powers That Be (Internet Edition): Google, Apple, Facebook, Amazon, and Microsoft

By: Jeffrey F. Rayport, Julia Kelley and Nathaniel Schwalb

As of early 2018, five U.S. technology companies—Google, Apple, Facebook, Amazon, and Microsoft—were among the largest companies in the world. Similarly, three Chinese technology firms—Baidu, Alibaba, and Tencent, or BAT—had emerged as global players due in part to the... View Details

Keywords: Internet and the Web; Business Ventures; Customers; Analytics and Data Science; Safety; Corporate Strategy; Competitive Strategy; Technology Industry

13 Jul 2020
Research & Ideas

Merck CEO Ken Frazier Discusses a COVID Cure, Racism, and Why Leaders Need to Walk the Talk

just one generation away from slavery. [div class=infogram-embed data-id=_/J7l1CMM7ky86fk3Wh7qQ][/div] Video Click Here Ken Frazier talks with Tsedal Neeley.) Interview Transcript Tsedal Neeley: Before we talk about vaccines and other... View Details

Keywords: by Staff; Pharmaceutical

August 2024
Article

How Do Copayment Coupons Affect Branded Drug Prices and Quantities Purchased?

By: Leemore S. Dafny, Kate Ho and Edward Kong

Drug copayment coupons to reduce patient cost-sharing have become nearly ubiquitous for high-priced brand-name prescription drugs. Medicare bans such coupons on the grounds that they are kickbacks that induce utilization, but they are commonly used by... View Details

Keywords: Prescription Drugs; Coupons; Impact; Health Care and Treatment; Markets; Price; Spending; Pharmaceutical Industry; United States

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Drug copayment coupons to reduce patient cost-sharing have become nearly ubiquitous for high-priced brand-name prescription drugs. Medicare bans such coupons on the grounds that they are kickbacks that induce utilization, but they are commonly used by... View Details

Himabindu Lakkaraju

Himabindu "Hima" Lakkaraju is an Assistant Professor of Business Administration at Harvard Business School. She is also a faculty affiliate in the Department of Computer Science at Harvard University, the Harvard Data Science Initiative, Center for Research on... View Details

Article

Adaptive Machine Unlearning

By: Varun Gupta, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Chris Waites

Data deletion algorithms aim to remove the influence of deleted data points from trained models at a cheaper computational cost than fully retraining those models. However, for sequences of deletions, most prior work in the non-convex setting gives valid guarantees... View Details

Keywords: Machine Learning; AI and Machine Learning

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

Keywords: Machine Learning Models; Counterfactual Explanations; Adversarial Examples; Mathematical Methods

Sit up straight and listen: Amy Cuddy has a plan to help you change your life. And it’s easy. The Harvard psychologist recently completed a study demonstrating that positioning our bodies a certain way doesn’t just tell people... View Details

March–April 2023
Article

Market Segmentation Trees

By: Ali Aouad, Adam Elmachtoub, Kris J. Ferreira and Ryan McNellis

Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market... View Details

Keywords: Decision Trees; Computational Advertising; Market Segmentation; Analytics and Data Science; E-commerce; Consumer Behavior; Marketplace Matching; Marketing Channels; Digital Marketing

November 1993 (Revised March 1995)
Case

Marsh Supermarkets, Inc. (A): The Marsh Super Study

In response to recent trends in grocery retailing, Marsh Supermarkets has completed an intensive 65-week study of the activity at 5 superstores in the midwest United States. The study tracked the sales, profits, space, and promotion dynamics of the entire store: dry... View Details

Keywords: Marketing Strategy; Analysis; Consumer Behavior; Retail Industry

January 2023 (Revised December 2023)
Case

OhmConnect: Energizing the Future

By: Jeffrey F. Rayport, Jennifer Fonstad and Nicole Tempest Keller

Founded in 2013, OhmConnect was a free consumer web app that alerted customers about peak hours of electricity demand, and paid them to lower their energy use at home during these periods. The company sold the aggregated reductions generated by thousands of households... View Details

Keywords: App Development; Renewable Energy; Electricity Usage; Regulations; VC; Technology; Customer Acquisition Cost (CAC); Scalability; Applications and Software; Growth and Development Strategy; Governing Rules, Regulations, and Reforms; Business Model; Venture Capital; Energy Industry; United States; California; Texas; Europe

Article

ESG Integration in Investment Management: Myths and Realities

By: Sakis Kotsantonis, Christopher Pinney and George Serafeim

The authors’ aim in this article is to set the record straight on the financial performance of sustainable investing while also correcting a number of other widespread misconceptions about this rapidly growing set of principles and methods. Myth Number 1:... View Details

Keywords: ESG; Sustainability; Investment Management; Finance; Corporate Social Responsibility; Integrated Corporate Reporting; Corporate Social Responsibility and Impact; Investment; Environmental Sustainability; Corporate Governance

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2012
Working Paper

~Why Do We Redistribute so Much but Tag so Little? Normative Diversity, Equal Sacrifice and Optimal Taxation

By: Matthew Weinzierl

Tagging is a free lunch in conventional optimal tax theory because it eases the classic tradeoff between efficiency and equality. But tagging is used in only limited ways in tax policy. I propose one explanation: conventional optimal tax theory has yet to capture the... View Details

Keywords: Forecasting and Prediction; Cost; Framework; Policy; Taxation; Analytics and Data Science; Performance Efficiency; United States

SSRN

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

October 2006 (Revised August 2023)
Background Note

Note on Student Outcomes in U.S. Public Education

By: Stacey M. Childress, Stig Leschly and John J-H Kim

Surveys educational outcomes among public school students in the United States. Educational outcomes are categorized as achievement outcomes (measured primarily by students' performance on standardized test results) and attainment outcomes (measured primarily by... View Details

Keywords: Demographics; Education; Outcome or Result; Public Administration Industry; Education Industry; United States

2021
Working Paper

Connecting Expected Stock Returns to Accounting Valuation Multiples: A Primer

By: Akash Chattopadhyay, Matthew R. Lyle and Charles C.Y. Wang

We outline a framework in which accounting “valuation anchors" could be connected to expected stock returns. Under two general conditions, expected log returns is a log-linear function of a valuation (market value-to-accounting) multiple and the expected growth in the... View Details

Keywords: Expected Returns; Present Value; Investment Return; Accounting; Valuation; Information; Framework

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