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- October 2024 (Revised June 2025)
- Case
Nvidia
By: Andy Wu and Matt Higgins
This case study examines Nvidia's strategic pivot from gaming GPUs to becoming a leader in general-purpose computing and AI. It explores how Nvidia leveraged its GPU architecture to dominate the growing fields of data center acceleration and AI training, outpacing... View Details
- October 2024
- Background Note
The Semiconductor Industry
By: Andy Wu, Steve Blank and Matt Higgins
The semiconductor industry powers modern technology, from consumer electronics to data centers. This background note explores the layers of the semiconductor inudstry value chain, including Integrated Device Manufacturers (IDMs), fabless companies, and foundries, while... View Details
- October 2024
- Article
Canary Categories
By: Eric Anderson, Chaoqun Chen, Ayelet Israeli and Duncan Simester
Past customer spending in a category is generally a positive signal of future customer spending. We show that there exist “canary categories” for which the reverse is true. Purchases in these categories are a signal that customers are less likely to return to that... View Details
Keywords: Churn; Churn Management; Churn/retention; Assortment Planning; Retail; Retailing; Retailing Industry; Preference Heterogeneity; Assortment Optimization; Customers; Retention; Consumer Behavior; Forecasting and Prediction; Retail Industry
Anderson, Eric, Chaoqun Chen, Ayelet Israeli, and Duncan Simester. "Canary Categories." Journal of Marketing Research (JMR) 61, no. 5 (October 2024): 872–890.
- 2024
- Working Paper
Foreign Influence in U.S. Politics
By: Marco Grotteria, Max Miller and S. Lakshmi Naaraayanan
This paper investigates the informational role of lobbyists in the context of foreign lobbying in the United States. Using Department of Justice data on contacts between foreign governments and US legislators, we show that exogenous shocks to these connections... View Details
Grotteria, Marco, Max Miller, and S. Lakshmi Naaraayanan. "Foreign Influence in U.S. Politics." Working Paper, October 2024.
- 2025
- Working Paper
Global Evidence on Gender Gaps and Generative AI
By: Nicholas G. Otis, Solène Delecourt, Katelynn Cranney and Rembrand Koning
Generative AI has the potential to transform productivity and reduce inequality, but only if adopted broadly. In this paper, we show that recently identified gender gaps in generative AI use are nearly universal. Synthesizing data from 18 studies covering more than... View Details
Otis, Nicholas G., Solène Delecourt, Katelynn Cranney, and Rembrand Koning. "Global Evidence on Gender Gaps and Generative AI." Harvard Business School Working Paper, No. 25-023, October 2024. (Revised January 2025.)
- 2024
- Working Paper
Pitfalls of Demographic Forecasts of U.S. Elections
By: Richard Calvo, Vincent Pons and Jesse M. Shapiro
Many observers have forecast large partisan shifts in the US electorate based on demographic trends. Such forecasts are appealing because demographic trends are often predictable even over long horizons. We backtest demographic forecasts using data on US elections... View Details
Keywords: Mathematical Methods; Voting; Political Elections; Trends; Forecasting and Prediction; Demographics
Calvo, Richard, Vincent Pons, and Jesse M. Shapiro. "Pitfalls of Demographic Forecasts of U.S. Elections." NBER Working Paper Series, No. 33016, October 2024.
- Fall 2024
- Article
Redemption Mechanisms in Poison Pills: Evidence on Pill Design and Law Firm Effects
By: Olivier Baum and Guhan Subramanian
We present the first evidence on the incidence of “trip wire” versus “last look” poison pills. Using a hand-collected data set of 130 poison pills implemented and/or amended between January 1, 2020 and March 31, 2023, we find that pills are almost evenly divided... View Details
Baum, Olivier, and Guhan Subramanian. "Redemption Mechanisms in Poison Pills: Evidence on Pill Design and Law Firm Effects." Business Lawyer 79, no. 4 (Fall 2024): 1043–1069.
- October 2024
- Article
Sampling Bias in Entrepreneurial Experiments
By: Ruiqing Cao, Rembrand Koning and Ramana Nanda
Using data from a prominent online platform for launching new digital products, we document that ‘sampling bias’—defined as the difference between a startup’s target customer base and the actual sample on which early ‘beta tests’ are conducted—has a systematic and... View Details
Cao, Ruiqing, Rembrand Koning, and Ramana Nanda. "Sampling Bias in Entrepreneurial Experiments." Management Science 70, no. 10 (October 2024): 7283–7307.
- 2024
- Working Paper
When Batteries Meet Hydrogen: Dual-Storage Investments for Load-Shifting Purposes
By: Christian Kaps and Simone Marinesi
Power systems account for nearly 40% of global emissions. As the world tries to reduce emissions by increasing renewable penetration, storage technologies are playing an increasingly important role in matching variable renewable supply with demand. Batteries have... View Details
Keywords: Environmental Sustainability; Renewable Energy; Transition; Utilities Industry; Battery Industry
Kaps, Christian, and Simone Marinesi. "When Batteries Meet Hydrogen: Dual-Storage Investments for Load-Shifting Purposes." Working Paper, October 2024.
- 2024
- Working Paper
Changing Perceptions and Post-Pandemic Monetary Policy
By: Michael D. Bauer, Carolin Pflueger and Adi Sunderam
We document that the Fed’s perceived monetary policy response to inflation shifted materially over the post-pandemic period. In forward-looking policy rules estimated from surveys of macroeconomic forecasters, the inflation coefficient rose significantly after liftoff... View Details
Bauer, Michael D., Carolin Pflueger, and Adi Sunderam. "Changing Perceptions and Post-Pandemic Monetary Policy." Working Paper, September 2024.
- September 2024
- Supplement
Assessing the Value of Unifying and De-Duplicating Customer Data Spreadsheet Supplement
By: Elie Ofek
- September 2024
- Exercise
Assessing the Value of Unifying and De-Duplicating Customer Data
By: Elie Ofek and Hema Yoganarasimhan
This exercise provides an opportunity for students to gain hands on experience with assessing the value of unifying various customer databases that a firm may have (e.g., across the different brands it markets) and of properly identifying customers to avoid duplication... View Details
Keywords: Customer Relationship Management; Measurement and Metrics; Analytics and Data Science; Value
Ofek, Elie, and Hema Yoganarasimhan. "Assessing the Value of Unifying and De-Duplicating Customer Data." Harvard Business School Exercise 525-023, September 2024.
- September 2024 (Revised September 2024)
- Supplement
Creating an AI-First Snack Company Exercise Data Supplement
By: Iavor I Bojinov
- 2024
- Working Paper
Fire Sales of Safe Assets
By: Gabor Pinter, Emil Siriwardane and Danny Walker
We use trade-level data to study price pressure effects in the UK gilt market from September to October 2022. During this period, forced sales by liability-driven investment funds (LDIs) led to price discounts on the order of 10%, accounting for roughly half the total... View Details
Pinter, Gabor, Emil Siriwardane, and Danny Walker. "Fire Sales of Safe Assets." Harvard Business School Working Paper, No. 25-015, September 2024.
- 2024
- Working Paper
Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python
By: Melissa Ouellet and Michael W. Toffel
This paper describes a range of best practices to compile and analyze datasets, and includes some examples in Stata, R, and Python. It is meant to serve as a reference for those getting started in econometrics, and especially those seeking to conduct data analyses in... View Details
Keywords: Empirical Methods; Empirical Operations; Statistical Methods And Machine Learning; Statistical Interferences; Research Analysts; Analytics and Data Science; Mathematical Methods
Ouellet, Melissa, and Michael W. Toffel. "Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python." Harvard Business School Working Paper, No. 25-010, August 2024.
- September 2024
- Case
Nvidia, Inc. in 2024 and the Future of AI
By: David B. Yoffie and Sarah von Bargen
Nvidia was one of the most successful companies in the world, reaching $3.4 trillion in valuation on June 18th, 2024. While Microsoft and Apple quickly recaptured the value crown, some analysts forecasted that Nvidia was so strongly positioned that it might become the... View Details
Keywords: Customer Value and Value Chain; Price; Technological Innovation; Competition; Vertical Integration; Valuation; Technology Industry
Yoffie, David B., and Sarah von Bargen. "Nvidia, Inc. in 2024 and the Future of AI." Harvard Business School Case 725-360, September 2024.
- September 2024
- Teaching Note
Amperity: First-Party Data at a Crossroads
By: Elie Ofek and Hema Yoganarasimhan
Teaching Note for HBS Case No. 524-017. View Details
- September 2024
- Article
Activist Directors: Determinants and Consequences
By: Ian D. Gow, Sa-Pyung Sean Shin and Suraj Srinivasan
This paper examines determinants and consequences of hedge fund activism, focusing on activist directors, i.e., directors appointed in response to activist demands. Using a sample of 3,259 activism events from 2004 to 2016, we identify 1,623 activist directors.... View Details
Gow, Ian D., Sa-Pyung Sean Shin, and Suraj Srinivasan. "Activist Directors: Determinants and Consequences." Review of Accounting Studies 29, no. 3 (September 2024): 2578–2616.
- 2024
- Article
Learning Under Random Distributional Shifts
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... View Details
Bansak, Kirk, Elisabeth Paulson, and Dominik Rothenhäusler. "Learning Under Random Distributional Shifts." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 27th (2024).
- 2024
- Working Paper
The New Digital Divide
By: Mayana Pereira, Shane Greenstein, Raffaella Sadun, Prasanna Tambe, Lucia Ronchi Darre, Tammy Glazer, Allen Kim, Rahul Dodhia and Juan Lavista Ferres
We build and analyze new metrics of digital usage that leverage telemetry data collected by Microsoft during operating system updates across forty million Windows devices in U.S. households. These measures of US household digital usage are much more comprehensive than... View Details
Keywords: Mathematical Methods; Measurement and Metrics; Geographic Location; Behavior; Technology Adoption; Demographics
Pereira, Mayana, Shane Greenstein, Raffaella Sadun, Prasanna Tambe, Lucia Ronchi Darre, Tammy Glazer, Allen Kim, Rahul Dodhia, and Juan Lavista Ferres. "The New Digital Divide." NBER Working Paper Series, No. 32932, September 2024.