Publications

09 Dec 2015
Working Paper Summaries

Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life

Keywords: by Edward L. Glaeser, Scott Duke Kominers, Michael Luca & Nikhil Naik

2010
Working Paper

Report on the State of Available Data for the Study of International Trade and Foreign Direct Investment

By: Robert C. Feenstra, Robert E. Lipsey, Lee G. Branstetter, C. Fritz Foley, James Harrigan, J. Bradford Jensen, Lori Kletzer, Catherine Mann, Peter K. Schott and Greg C. Wright

This report, prepared for the Committee on Economic Statistics of the American Economic Association, examines the state of available data for the study of international trade and foreign direct investment. Data on values of imports and exports of goods are of high... View Details

Keywords: Trade; Foreign Direct Investment; Price; Globalization; Policy; Information; Intellectual Property

February 2022
Case

CityScore: Big Data Comes to Boston

By: Boris Groysberg and Sarah L. Abbott

In 2016, Martin “Marty” Walsh, the Mayor of Boston, introduced CityScore, a data dashboard that measured the city’s progress across a range of metrics. The dashboard was updated daily and publicly available. The mayor frequently discussed the CityScore targets in... View Details

Keywords: Analytics and Data Science; Government Administration; Leadership; Transformation; City; Measurement and Metrics; Public Administration Industry; Boston; United States

Educators

2022
Article

Data Poisoning Attacks on Off-Policy Evaluation Methods

By: Elita Lobo, Harvineet Singh, Marek Petrik, Cynthia Rudin and Himabindu Lakkaraju

Off-policy Evaluation (OPE) methods are a crucial tool for evaluating policies in high-stakes domains such as healthcare, where exploration is often infeasible, unethical, or expensive. However, the extent to which such methods can be trusted under adversarial threats... View Details

Keywords: Analytics and Data Science; Cybersecurity; Mathematical Methods

27 Sep 2018
Working Paper Summaries

Large-Scale Demand Estimation with Search Data

Keywords: by Tomomichi Amano, Andrew Rhodes, and Stephan Seiler; Retail

November 2019
Article

How Do Sales Efforts Pay Off? Dynamic Panel Data Analysis in the Nerlove-Arrow Framework

By: Doug J. Chung, Byungyeon Kim and Byoung G. Park

This paper evaluates the short- and long-term value of sales representatives’ detailing visits to different types of physicians. By understanding the dynamic effect of sales calls across heterogeneous physicians, we provide guidance on the design of optimal call... View Details

Keywords: Nerlove-Arrow Framework; Stock-of-goodwill; Dynamic Panel Data; Serial Correlation; Instrumental Variables; Sales Effectiveness; Detailing; Analytics and Data Science; Sales; Analysis; Performance Effectiveness; Pharmaceutical Industry

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01 Jun 2023
News

Bridging the ESG Data Gap

“I found lots of ESG buzzwords and messaging,” Murday notes, “but quantitative data was missing.” Nurturing Breakthrough Ideas READ MORE STORIES Nurturing Breakthrough Ideas READ MORE STORIES Her assessment... View Details

Keywords: Deborah Blagg

December 1996 (Revised August 1998)
Teaching Note

General Mills, Inc.: Appendix of Comparable Company Data TN

By: William E. Fruhan Jr.

Teaching Note for (9-197-037). View Details

Keywords: Food and Beverage Industry

December 2024
Teaching Note

Assessing the Value of Unifying and De-duplicating Customer Data

By: Elie Ofek and Hema Yoganarasimhan

Teaching Note for HBS Case No. 525-023. View Details

23 Dec 2020
News

Why the Growth of Impact Investing Depends on Data

July 2025
Article

Digital Lending and Financial Well-Being: Through the Lens of Mobile Phone Data

By: AJ Chen, Omri Even-Tov, Jung Koo Kang and Regina Wittenberg-Moerman

To mitigate information asymmetry about borrowers in developing economies, digital lenders use machine-learning algorithms and nontraditional data from borrowers’ mobile devices. Consequently, digital lenders have managed to expand access to credit for millions of... View Details

Keywords: Informal Economy; Digital Banking; Mobile Phones; Developing Countries and Economies; Mobile and Wireless Technology; AI and Machine Learning; Analytics and Data Science; Credit; Borrowing and Debt; Well-being; Banking Industry; Kenya

12 Oct 2022
Video

Brandeis Marshall: The Potential for Data Equity

11 Jan 2018
Working Paper Summaries

Brokers and Order Flow Leakage: Evidence from Fire Sales

Keywords: by Andrea Barbon, Marco Di Maggio, Francesco Franzoni, and Augustin Landier; Financial Services

May–June 2018
Article

Data Uncertainty in Markov Chains: Application to Cost-Effectiveness Analyses of Medical Innovations

By: Joel Goh, Mohsen Bayati, Stefanos A. Zenios, Sundeep Singh and David Moore

Cost-effectiveness studies of medical innovations often suffer from data inadequacy. When Markov chains are used as a modeling framework for such studies, this data inadequacy can manifest itself as imprecision in the elements of the transition matrix. In this paper,... View Details

Keywords: Markov Chains; Cost Effectiveness; Medical Innovations; Colorectal Cancer; Health Care and Treatment; Cost vs Benefits; Innovation and Invention; Mathematical Methods; Health Industry

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2018
Simulation

Financial Analysis Simulation: Data Detective

By: Suraj Srinivasan and V.G. Narayanan

In this simulation, students learn to identify typical industry characteristics revealed in financial data. Equipped with an interactive and flexible set of tools, students analyze disguised financials and—using their knowledge of operational practices and reasoning... View Details

Keywords: Financial Analysis; Financial Accounting; Financial Ratios; Accounting; Financial Statements; Analysis

September 2020 (Revised July 2022)
Exercise

Artea (B): Including Customer-Level Demographic Data

By: Eva Ascarza and Ayelet Israeli

This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details

Keywords: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Demographics; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

January 2002
Case

Relational Data Models in Enterprise-Level Information Systems

Provides an overview of some important aspects of the relational data models that underlie today's enterprise-level information technologies, such as enterprise resource planning and customer relationship management. Key concepts covered include relational data and... View Details

Keywords: Information Technology

Educators