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This paper formalizes and adapts the well-known concept of Pareto efficiency in the context of the popular robust optimization (RO) methodology for...
Prioritarianism has been at the center of the formal approach to optimal tax theory since its modern starting point in Mirrlees (1971), but most...
- July 2021
- Case
Pershing Square's Pandemic Trade (A)
By: Emil N. Siriwardane, Luis M. Viceira, Dean Xu and Lucas Baker
This case explores the decision that Bill Ackman, CEO and founder of the hedge fund Pershing Square Capital, was considering in late February 2020 about hedging the exposure of the fund’s portfolio from the potential financial fallout ensuing from an extreme event like...
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- July 2021
- Teaching Plan
Scale and Scope at Drake Real Estate Partners
By: Christina R. Wing and David Lane
Realizing in early 2021 that their pending real estate investment fund would likely be oversubscribed, Drake Real Estate Partners co-founders Nicolás Ibáñez and David Cotterman were considering how best to continue to diversify their investor base and how to optimize...
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- 2021
- Working Paper
Investment Committee Voting and the Financing of Innovation
By: Andrey Malenko, Ramana Nanda, Matthew Rhodes-Kropf and Savitar Sundaresan
We provide novel evidence on voting practices used by the investment committees of prominent venture capital investors in the U.S. A substantial share of these VCs use a voting rule for seed and early stage investments where a single `champion' is sufficient for the...
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- 2021
- Article
Designing, Not Checking, for Policy Robustness: An Example with Optimal Taxation
By: Benjamin B. Lockwood, Afras Sial and Matthew C. Weinzierl
Economists typically check the robustness of their results by comparing them across plausible ranges of parameter values and model structures. A preferable approach to robustness—for the purposes of policymaking and evaluation—is to design policy that takes these...
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- 2021
- Article
To Thine Own Self Be True? Incentive Problems in Personalized Law
By: Jordan M. Barry, John William Hatfield and Scott Duke Kominers
Recent years have seen an explosion of scholarship on “personalized law.” Commentators foresee a world in which regulators armed with big data and machine learning techniques determine the optimal legal rule for every regulated party, then instantaneously disseminate...
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- May 2021
- Article
Preparing for a Pandemic: Accelerating Vaccine Availability
By: Amrita Ahuja, Susan Athey, Arthur Baker, Eric Budish, Juan Camilo Castillo, Rachel Glennerster, Scott Duke Kominers, Michael Kremer, Jean Lee, Canice Prendergast, Christopher M. Snyder, Alex Tabarrok, Brandon Joel Tan and Witold Wiecek
Vaccinating the world’s population quickly in a pandemic has enormous health and economic benefits. We analyze the problem faced by governments in determining the scale and structure of procurement for vaccines. We analyze alternative approaches to procurement, arguing...
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- 2021
- Article
Fair Influence Maximization: A Welfare Optimization Approach
By: Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice and Milind Tambe
Several behavioral, social, and public health interventions, such as suicide/HIV prevention or community preparedness against natural disasters, leverage social network information to maximize outreach. Algorithmic influence maximization techniques have been proposed...
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- Spring, 2021
- Article
Look 'Outside the Building' for the Future of Leadership
The author discusses what she terms “outside the building” issues, such as climate change, pandemics, and racial/gender justice. These complex issues are “beyond the boundaries of single organizations.” As she writes, “I call this new leadership for the future...
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- March 2021 (Revised June 2021)
- Case
Scale and Scope at Drake Real Estate Partners
By: Christina R. Wing and David Lane
Realizing in early 2021 that their pending real estate investment fund would likely be oversubscribed, Drake Real Estate Partners co-founders Nicolás Ibáñez and David Cotterman were considering how best to continue to diversify their investor base and how to optimize...
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- March 2021
- Article
Assortment Rotation and the Value of Concealment
By: Kris J. Ferreira and Joel Goh
Assortment rotation—the retailing practice of changing the assortment of products offered to customers—has recently been used as a competitive advantage for both brick-and-mortar and online retailers. We focus on product categories where consumers may purchase multiple...
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- 2021
- Working Paper
Crisis Interventions in Corporate Insolvency
By: Samuel Antill and Christopher Clayton
We model the optimal resolution of insolvent firms in general equilibrium. Absent externalities, the optimal corporate-insolvency system encourages lending by letting banks assign liquidations ex-post. We show that a social planner optimally intervenes in such a system...
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- February 2021 (Revised February 2021)
- Background Note
eGrocery and the Role of Data for CPG Firms
By: Ayelet Israeli, Fedor (Ted) Lisitsyn and Mark A. Irwin
This notes provides information about the eGrocery industry and how traditional CPG companies handle this channel and potential data. It is recommended to use together with a series of exercises entitled: "E-Commerce Analytics for CPG Firms (A), (B), and (C)."
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Keywords:
Data;
Data Analysis;
Data Analytics;
Data Sharing;
CPG;
Consumer Packaged Goods (CPG);
Delivery Planning;
Customer Lifetime Value;
Online Channel;
Retail;
Retail Analytics;
Retailing Industry;
Ecommerce;
Grocery;
Optimization;
Data and Data Sets;
Analysis;
Customer Value and Value Chain;
Marketing Channels;
Retail Industry;
Consumer Products Industry;
United States
- February 2021
- Article
Health Care Measurements That Improve Patient Outcomes
By: Robert S. Kaplan, Lara Jehi, Clifford Y. Ko, Andrea Pusic and Mary Witkowski
This article describes the challenges and solutions in determining whether a patient’s treatment has been successful. Such an assessment depends on multiple factors, including the patient’s pretreatment status; the qualifications of personnel performing the treatment;...
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- January 2021
- Supplement
E-Commerce Analytics for CPG Firms (B): Optimizing Assortment for a New Retailer
By: Ayelet Israeli and Fedor (Ted) Lisitsyn
The E-Commerce Analytics group at the traditional CPG firm was in charge of compiling various online sales reports, as well as making data-driven recommendations for sales and marketing tactics. In a series of exercises, students address different data challenges for...
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Keywords:
Data Analysis;
Data Analytics;
CPG;
Consumer Packaged Goods (CPG);
Online Channel;
Retail;
Retail Analytics;
Retailing Industry;
Data;
Data Sharing;
Ecommerce;
Assortment Optimization;
Assortment Planning;
Data and Data Sets;
Retention;
Retail Industry;
Consumer Products Industry;
United States
- January 2021
- Exercise
E-Commerce Analytics for CPG Firms (B): Optimizing Assortment for a New Retailer
By: Ayelet Israeli and Fedor (Ted) Lisitsyn
The E-Commerce Analytics group at the traditional CPG firm was in charge of compiling various online sales reports, as well as making data-driven recommendations for sales and marketing tactics. In a series of exercises, students address different data challenges for...
View Details
Keywords:
Data Analysis;
Data Analytics;
CPG;
Consumer Packaged Goods (CPG);
Online Channel;
Retail Analytics;
Retail;
Retailing Industry;
Data;
Data Sharing;
Ecommerce;
CRM;
Loyalty Management;
Assortment Planning;
Assortment Optimization;
Lifetime Value (LTV);
Data and Data Sets;
Analysis;
Retention;
Retail Industry;
Consumer Products Industry;
United States
- 2021
- Article
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning
By: Seth Neel, Aaron Leon Roth and Saeed Sharifi-Malvajerdi
We study the data deletion problem for convex models. By leveraging techniques from convex optimization and reservoir sampling, we give the first data deletion algorithms that are able to handle an arbitrarily long sequence of adversarial updates while promising both...
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Keywords:
Machine Learning
- 2021
- Working Paper
No-fault Default, Chapter 11 Bankruptcy, and Financial Institutions
By: Robert C. Merton and Richard T. Thakor
This paper analyzes the costs and benefits of a no-fault-default debt structure as an alternative to the typical bankruptcy process. We show that the deadweight costs of bankruptcy can be avoided or substantially reduced through no-fault-default debt, which permits a...
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- January 2021
- Article
Turbulence, Firm Decentralization and Growth in Bad Times
By: Philippe Aghion, Nicholas Bloom, Brian Lucking, Raffaella Sadun and John Van Reenen
What is the optimal form of firm organization during “bad times”? We present a model of delegation within the firm to show that the effect is ambiguous. The greater turbulence following macro shocks may benefit decentralized firms because the value of local information...
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- 2020
- Article
Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses
By: Kaivalya Rawal and Himabindu Lakkaraju
As predictive models are increasingly being deployed in high-stakes decision-making, there has been a lot of interest in developing algorithms which can provide recourses to affected individuals. While developing such tools is important, it is even more critical to...
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