Publications
Publications
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- All HBS Web
(6,987)
- Faculty Publications (1,903)
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 2024
- Working Paper
The Operational Impact of Customer Location in On-Demand Services
By: Natalie Epstein, Santiago Gallino and Antonio Moreno
The rapid growth of on-demand delivery services, particularly in the food and grocery sectors, has driven the expansion of hyperlocal fulfillment centers (FCs). This paper uses data from an on-demand grocery delivery platform in Latin America to assess how customer... View Details
- September–October 2024
- Article
Where Data-Driven Decision-Making Can Go Wrong
By: Michael Luca and Amy C. Edmondson
When considering internal data or the results of a study, often business leaders either take the evidence presented as gospel or dismiss it altogether. Both approaches are misguided. What leaders need to do instead is conduct rigorous discussions that assess any... View Details
- September–October 2024
- Article
Working Around the Clock: Temporal Distance, Intrafirm Communication, and Time Shifting of the Employee Workday
By: Jasmina Chauvin, Prithwiraj Choudhury and Tommy Pan Fang
This paper examines the effects of temporal distance generated by time zone separation on communication in geographically distributed organizations. We build on prior research, which highlights time zone separation as a significant challenge, but argue that employees... View Details
- 2024
- Working Paper
Determinants of Top-Down Sabotage
By: Hashim Zaman and Karim R. Lakhani
We investigate the conditions that motivate managers to impede the growth of talented subordinates due to fears of future competition for their own positions. Our research expands on existing tournament and contest theory literature that considers peer-to-peer sabotage... View Details
- August 2024
- Case
The Walt Disney Company: Management Guidance
By: Joseph Pacelli and James Weber
In November 2023, financial analyst Aurora Fee was forecasting The Walt Disney Company’s earnings and stock price, with the goal of providing an investment recommendation to her clients. Disney, one of the world’s largest media and entertainment companies, had just... View Details
- 2024
- Case
EPCorp: What Story Does the Data Tell?
By: Jacob M. Cook
In EPCorp: What Story Does the Data Tell?, the Quick Case begins with Shivani Bahl researching problems with her company's website so that she can begin to analyze which option would help EPCorp most: selling all its products on Amazon or improving its own data... View Details
- August 2024
- Technical Note
Introduction to Data Analysis in Python
By: Michael Parzen and Jo Ellery
This note introduces Python as a tool for data science, including the Pandas library for data analysis. View Details
Keywords: Analytics and Data Science