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All HBS Web
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- Faculty Publications (658)
- 2023
- Working Paper
Random Distribution Shift in Refugee Placement: Strategies for Building Robust Models
By: Kirk Bansak, Elisabeth Paulson and Dominik Rothenhäusler
Algorithmic assignment of refugees and asylum seekers to locations within host
countries has gained attention in recent years, with implementations in the U.S.
and Switzerland. These approaches use data on past arrivals to generate machine
learning models that can...
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Bansak, Kirk, Elisabeth Paulson, and Dominik Rothenhäusler. "Random Distribution Shift in Refugee Placement: Strategies for Building Robust Models." Working Paper, June 2023.
- May 2023
- Case
CMA CGM: Reducing the Carbon Footprint of Container Shipping
By: Willy C. Shih and Emilie Billaud
Marine transport is the most cost-effective way to move large volumes over long distances, and container shipping is the backbone of international trade in goods. Yet shipping contributed 3% of worldwide greenhouse gas emissions, and the deep-sea segment, which...
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Keywords:
Container Shipping;
Logistic Regression;
Trade Links;
Decarbonization;
Environmental Strategies;
Environmental Impact;
Globalization;
Trade;
Environmental Regulation;
Logistics;
Supply Chain;
Governance Compliance;
Shipping Industry;
European Union;
Asia;
North America
Shih, Willy C., and Emilie Billaud. "CMA CGM: Reducing the Carbon Footprint of Container Shipping." Harvard Business School Case 623-006, May 2023.
- 2023
- Article
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators
By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in...
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Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine Learning Research 24, no. 133 (2023): 1–57.
- 2023
- Working Paper
Detecting Structural Breaks in Inflation Trends: A High-Frequency Approach
By: Alberto Cavallo and Gaston Garcia Zavaleta
We combine standard structural-break methods with high-frequency data to identify shifts in inflation trends. We use this approach to study the inflation dynamics of 25 countries from January 2022 to April 2023 and find evidence of a broad-based slowdown in about half...
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Cavallo, Alberto, and Gaston Garcia Zavaleta. "Detecting Structural Breaks in Inflation Trends: A High-Frequency Approach." Working Paper, May 2023. (Preliminary draft.)
- May–June 2023
- Article
Which Firms Gain from Digital Advertising? Evidence from a Field Experiment
By: Weijia Dai, Hyunjin Kim and Michael Luca
Measuring the returns of advertising opportunities continues to be a challenge for many
businesses. We design and run a field experiment in collaboration with Yelp across 18,294
firms in the restaurant industry to understand which types of businesses gain more from...
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Dai, Weijia, Hyunjin Kim, and Michael Luca. "Which Firms Gain from Digital Advertising? Evidence from a Field Experiment." Marketing Science 42, no. 3 (May–June 2023): 429–439.
- April 2023 (Revised July 2023)
- Case
Dena Almansoori at e&: Fostering Culture Change at a UAE Telco Transforming to a Global Techco
By: Emily Truelove, Michelle Zhang and Alpana Thapar
Dena Almansoori, the first female and one of the youngest members of the United Arab Emirates-based e&’s leadership team, joined in 2020 just before e& began a strategic transition from being a regional telecommunications company to becoming a global technology...
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Keywords:
Leadership;
Culture;
Transformation;
Technology;
Telecommunications;
Employee Mobility;
Talent;
Leading Change;
Human Resources;
Telecommunications Industry;
Technology Industry;
Middle East;
United Arab Emirates
Truelove, Emily, Michelle Zhang, and Alpana Thapar. "Dena Almansoori at e&: Fostering Culture Change at a UAE Telco Transforming to a Global Techco." Harvard Business School Case 423-040, April 2023. (Revised July 2023.)
- April 2023 (Revised July 2023)
- Case
Dena Almansoori at e&: Fostering Culture Change at a UAE Telco Transforming to a Global Techco (Abridged)
By: Emily Truelove, Michelle Zhang and Alpana Thapar
Dena Almansoori, the first female and one of the youngest members of the United Arab Emirates-based e&’s leadership team, joined in 2020 just before e& began a strategic transition from being a regional telecommunications company to becoming a global technology...
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Keywords:
Technology;
Telecommunications;
Employee Mobility;
Leading Change;
Human Resources;
Organizational Culture;
Transformation;
Change Management;
Employee Relationship Management;
Leadership;
Talent and Talent Management;
Telecommunications Industry;
Technology Industry;
Middle East;
United Arab Emirates
Truelove, Emily, Michelle Zhang, and Alpana Thapar. "Dena Almansoori at e&: Fostering Culture Change at a UAE Telco Transforming to a Global Techco (Abridged)." Harvard Business School Case 423-059, April 2023. (Revised July 2023.)
- 2023
- Working Paper
Corporate Website-based Measures of Firms' Value Drivers
By: Wei Cai, Dennis Campbell and Patrick Ferguson
We develop and validate new text-based measures of firms’ financial and non-financial value drivers. Using the Wayback Machine to access public US firms’ archived websites from 1995-2020, we scrape text from corporate homepages. We use Kaplan and Norton’s (1992)...
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Cai, Wei, Dennis Campbell, and Patrick Ferguson. "Corporate Website-based Measures of Firms' Value Drivers." SSRN Working Paper Series, No. 4413808, April 2023.
- 2023
- Working Paper
Feature Importance Disparities for Data Bias Investigations
By: Peter W. Chang, Leor Fishman and Seth Neel
It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection...
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Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
- Spring 2023
- Article
Incentive Contract Design and Employee-Initiated Innovation: Evidence from the Field
By: Wei Cai, Susanna Gallani and Jee-Eun Shin
This study examines how the design of incentive contracts for tasks defined as workers’ official responsibilities (i.e., standard tasks) influences workers’ propensity to engage in employee-initiated innovation (EII). EII corresponds to innovation activities that are...
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Keywords:
Employee-initiated Innovation;
Contract Design;
Rank-and-file;
Extra-role Behaviors;
Compensation and Benefits;
Motivation and Incentives;
Innovation and Management
Cai, Wei, Susanna Gallani, and Jee-Eun Shin. "Incentive Contract Design and Employee-Initiated Innovation: Evidence from the Field." Contemporary Accounting Research 40, no. 1 (Spring 2023): 292–323.
- 2023
- Working Paper
PRIMO: Private Regression in Multiple Outcomes
By: Seth Neel
We introduce a new differentially private regression setting we call Private Regression in Multiple Outcomes (PRIMO), inspired the common situation where a data analyst wants to perform a set of l regressions while preserving privacy, where the covariates...
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Neel, Seth. "PRIMO: Private Regression in Multiple Outcomes." Working Paper, March 2023.
- 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...
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Keywords:
Decision Trees;
Computational Advertising;
Market Segmentation;
Analytics and Data Science;
E-commerce;
Consumer Behavior;
Marketplace Matching;
Marketing Channels;
Digital Marketing
Aouad, Ali, Adam Elmachtoub, Kris J. Ferreira, and Ryan McNellis. "Market Segmentation Trees." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 648–667.
- February 2023
- Case
Success Academy Charter Schools
By: Robin Greenwood, Joshua D. Coval, Denise Han, Ruth Page and Dave Habeeb
This stand-alone multimedia case follows the story of Eva Moskowitz and Success Academy, a network of high-performing charter schools in New York City. As a New York City councilor between 1999 and 2006, Moskowitz became frustrated over the inertia and dysfunction in...
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Keywords:
Business and Government Relations;
Performance Effectiveness;
Equality and Inequality;
Private Sector;
Education Industry;
New York (city, NY)
Greenwood, Robin, Joshua D. Coval, Denise Han, Ruth Page, and Dave Habeeb. "Success Academy Charter Schools." Harvard Business School Multimedia/Video Case 222-707, February 2023.
- 2023
- Working Paper
Crowding in Private Quality: The Equilibrium Effects of Public Spending in Education
By: Tahir Andrabi, Natalie Bau, Jishnu Das, Asim Ijaz Khwaja and Naureen Karachiwalla
We estimate the equilibrium effects of a public-school grant program administered through school councils in Pakistani villages with multiple public and private schools and clearly defined catchment boundaries. The program was randomized at the village-level, allowing...
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Andrabi, Tahir, Natalie Bau, Jishnu Das, Asim Ijaz Khwaja, and Naureen Karachiwalla. "Crowding in Private Quality: The Equilibrium Effects of Public Spending in Education." NBER Working Paper Series, No. 30929, February 2023.
- February 2023
- Article
OTC Intermediaries
By: Andrea L. Eisfeldt, Bernard Herskovic, Sriram Rajan and Emil Siriwardane
We study the effect of dealer exit on prices and quantities in a model of an over-the-counter (OTC) market featuring a core-periphery network with bilateral trading costs. The model is calibrated using regulatory data on the entire U.S. credit default swap (CDS) market...
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Keywords:
OTC Markets;
Intermediaries;
Dealers;
Credit Default Swaps;
Risk Sharing;
Financial Markets;
Networks;
Price;
Risk and Uncertainty
Eisfeldt, Andrea L., Bernard Herskovic, Sriram Rajan, and Emil Siriwardane. "OTC Intermediaries." Review of Financial Studies 36, no. 2 (February 2023): 615–677.
- December 2022
- Article
Cost Standard Set Program: Moving Forward to Standardization of Cost Assessment Based on Clinical Condition
By: Anna Paula Beck da Silva Etges, Richard D. Urman, Anne Geubelle, Robert Kaplan and Carisi Anne Polanczyk
This communication announces the International Cost Standard Set Program. Its goal is to establish global standardized frameworks for measuring the costs of treating specific clinical conditions. A scientific committee, including 16 international healthcare cost...
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Keywords:
Time-Driven Activity-Based Costing;
Value-based Health Care;
Cost;
Health Care and Treatment;
Activity Based Costing and Management;
Health Industry
da Silva Etges, Anna Paula Beck, Richard D. Urman, Anne Geubelle, Robert Kaplan, and Carisi Anne Polanczyk. "Cost Standard Set Program: Moving Forward to Standardization of Cost Assessment Based on Clinical Condition." Journal of Comparative Effectiveness Research 11, no. 17 (December 2022): 1219–1223.
- 2022
- Article
Efficiently Training Low-Curvature Neural Networks
By: Suraj Srinivas, Kyle Matoba, Himabindu Lakkaraju and Francois Fleuret
Standard deep neural networks often have excess non-linearity, making them susceptible to issues such as low adversarial robustness and gradient instability. Common methods to address these downstream issues, such as adversarial training, are expensive and often...
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Keywords:
AI and Machine Learning
Srinivas, Suraj, Kyle Matoba, Himabindu Lakkaraju, and Francois Fleuret. "Efficiently Training Low-Curvature Neural Networks." Advances in Neural Information Processing Systems (NeurIPS) (2022).
- 2022
- Article
OpenXAI: Towards a Transparent Evaluation of Model Explanations
By: Chirag Agarwal, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik and Himabindu Lakkaraju
While several types of post hoc explanation methods have been proposed in recent literature, there is very little work on systematically benchmarking these methods. Here, we introduce OpenXAI, a comprehensive and extensible opensource framework for evaluating and...
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Agarwal, Chirag, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik, and Himabindu Lakkaraju. "OpenXAI: Towards a Transparent Evaluation of Model Explanations." Advances in Neural Information Processing Systems (NeurIPS) (2022).
- November 2022
- Case
The Battle Among Channels for Marketing Pharmaceuticals: UpScript, Pharmacy Benefit Managers, and Direct-to-Consumer Sales
By: Regina E. Herzlinger and Tiffany Farrell
Can an online, direct-to-consumer pharmacy both improve the quality and speed of care for patients who need branded drugs and stabilize profits for pharmaceutical manufacturers? UpScript, after years spent achieving legal and regulatory compliance and simultaneous...
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Keywords:
DTC;
Internet and the Web;
Marketing Channels;
Customer Value and Value Chain;
Governing Rules, Regulations, and Reforms;
Competitive Strategy;
Service Delivery;
Growth and Development Strategy;
Pharmaceutical Industry;
Health Industry;
Retail Industry
Herzlinger, Regina E., and Tiffany Farrell. "The Battle Among Channels for Marketing Pharmaceuticals: UpScript, Pharmacy Benefit Managers, and Direct-to-Consumer Sales." Harvard Business School Case 323-031, November 2022.
- November–December 2022
- Article
Number One in Formula One: Leadership Lessons from Toto Wolff and Mercedes, the Team behind One of the Greatest Winning Streaks in All of Sports
By: Anita Elberse
Toto Wolff, the team principal for Mercedes-AMG Petronas—arguably the most impressive team in F1 racing history—has led his organization to unparalleled success. Mercedes earned the Constructors’ Championship (for best overall team performance) every year from 2014...
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Elberse, Anita. "Number One in Formula One: Leadership Lessons from Toto Wolff and Mercedes, the Team behind One of the Greatest Winning Streaks in All of Sports." Harvard Business Review (November–December 2022): 70–78.