Publications
Publications
Show Results For
- All HBS Web
(5,541)
- Faculty Publications (1,024)
- June 2018
- Background Note
Introduction to Life Settlements
By: Alexander Braun, Lauren H. Cohen, Christopher J. Malloy and Jiahua Xu
Life insurance is an asset owned by the majority of American adults (61%). Note that this 61% penetration rate is essentially at parity with home ownership (64%) and higher than that of 401(k) retirement account ownership (53%). Life settlements, or life insurance... View Details
- June 2018 (Revised January 2019)
- Background Note
Visualizing Data & Effective Communication
By: Srikant M. Datar and Caitlin N. Bowler
This note explores three specific ways an analyst can use visualization. Section 1 considers visualization to explore data. Section 2 discusses visualization as a tool for developing a deeper understanding of trends and phenomena encoded in the data. Section 3... View Details
- Article
Does 'Could' Lead to Good? On the Road to Moral Insight
By: Ting Zhang, Francesca Gino and Joshua D. Margolis
Dilemmas featuring competing moral imperatives are prevalent in organizations and are difficult to resolve. Whereas prior research has focused on how individuals adjudicate among these moral imperatives, we study the factors that influence when individuals find... View Details
- Summer 2018
- Book Review
Leslie Berlin, Troublemakers: Silicon Valley's Coming of Age
Leslie Berlin's book Troublemakers, is an engaging and insightful people-first exploration of the roots of Silicon Valley, from the late 1960s to the early 1980s. Berlin portrays seven individuals who played important roles at critical junctures in the... View Details
- June 2018
- Article
Will a Five-Minute Discussion Change Your Mind? A Countrywide Experiment on Voter Choice in France
By: Vincent Pons
This paper provides the first estimate of the effect of door-to-door canvassing on actual electoral outcomes, via a countrywide experiment embedded in François Hollande's campaign in the 2012 French presidential election. While existing experiments randomized... View Details
- May 28, 2018
- Article
How Companies Can Identify Racial and Gender Bias in Their Customer Service
By: Alexandra C. Feldberg and Tami Kim
Research shows that minority customers — blacks and Asians — regularly receive worse customer service than whites in ways that are not immediately obvious to onlookers (or even managers). These results prompt a couple of questions for executives and managers. One, does... View Details
- Article
Consistent Belief in a Good True Self in Misanthropes and Three Interdependent Cultures
By: Julian De Freitas, Hagop Sarkissian, George E. Newman, Igor Grossman, Felipe De Brigard, Andres Luco and Joshua Knobe
People sometimes explain behavior by appealing to an essentialist concept of the self, often
referred to as the true self. Existing studies suggest that people tend to believe that the true self is
morally virtuous; that is deep inside, every person is motivated to... View Details
- 2018
- Working Paper
Corporate Tax Cuts Increase Income Inequality
By: Suresh Nallareddy, Ethan Rouen and Juan Carlos Suárez Serrato
This paper studies the effects of corporate tax changes on income inequality. Using state corporate tax rate changes as a setting, we show that cutting state corporate tax rates leads to increases in income inequality. This result is robust to using regression and... View Details
- Article
The Asymmetric Experience of Positive and Negative Economic Growth: Global Evidence Using Subjective Well-being Data
By: Jan-Emmanuel De Neve, George Ward, Femke De Keulenaer, Bert Van Landeghem, Georgios Kavetsos and Michael I. Norton
Are individuals more sensitive to losses than gains in terms of economic growth? We find that measures of subjective well-being are more than twice as sensitive to negative as compared to positive economic growth. We use Gallup World Poll data from over 150 countries,... View Details
- November 2021
- Article
Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data
By: William Herlands, Edward McFowland III, Andrew Gordon Wilson and Daniel B. Neill
Identifying anomalous patterns in real-world data is essential for understanding where, when, and how systems deviate from their expected dynamics. Yet methods that separately consider the anomalousness of each individual data point have low detection power for subtle,... View Details
- Article
Investors as Stewards of the Commons?
By: George Serafeim
Over the past few years, there has been a significant increase in the number of initiatives seeking to mobilize investor voice towards positive social impact. In this paper, I provide a framework outlining the role of investors as stewards of the commons. While... View Details
- March 2018 (Revised July 2018)
- Case
Cadre
By: Thomas R. Eisenmann, Scott Duke Kominers and David Lane
Late in 2017, CEO Ryan Williams and his team debated whether Cadre should become not only a technology-enabled investment manager, but also an online trading exchange providing high levels of liquidity for investors in commercial real estate (CRE) equity. Cadre was a... View Details
- March 2018 (Revised August 2018)
- Case
Matching Markets for Googlers
By: Bo Cowgill and Rembrand Koning
This case describes how Google designed and launched an internal matching market to assign individual workers with projects and managers. The case evaluates how marketplace design considerations—and several alternative staffing models—could affect the company’s goals... View Details
- 2018
- Working Paper
Thanks for Nothing: Expressing Gratitude Invites Exploitation by Competitors
By: Jeremy Yip, Kelly Kiyeon Lee, Cindy Chan and Alison Wood Brooks
Previous research has revealed that expressing gratitude motivates prosocial behavior in cooperative relationships. However, expressing gratitude in competitive interactions may operate differently. Across five studies, we demonstrate that individuals interacting with... View Details
- February 2018
- Article
Auctions versus Posted Prices in Online Markets
By: Liran Einav, Chiara Farronato, Jonathan Levin and Neel Sundaresan
Auctions were very popular in the early days of internet commerce, but today online sellers mostly use posted prices. We model the choice between auctions and posted prices as a trade-off between competitive price discovery and convenience. Evidence from eBay fits the... View Details
- 2018
- Article
Overcoming Barriers to Time-Saving: Reminders of Future Busyness Encourage Consumers to Buy Time
By: A. V. Whillans, Elizabeth W. Dunn and Michael I. Norton
Spending money on time-saving purchases improves happiness. Yet, people often fail to spend their money in this way. Because most people believe that the future will be less busy than the present, they may underweight the value of these purchases. We examine the impact... View Details
- January 2018 (Revised January 2019)
- Case
ZappRx
By: Jeffrey J. Bussgang and Olivia Hull
In October 2015, ZappRx founder Zoe Barry is deciding between two business models for her health technology start-up. Her product, a software application that aims to expedite the prescription fulfillment process for patients with rare diseases, has attracted interest... View Details
- January 2018
- Background Note
Math Tools for Strategists
By: Tarun Khanna and Jan W. Rivkin
Great strategists rely heavily on numbers as they go about their work. This note offers an overview of the highbrow and lowbrow quantitative tools that individuals commonly encounter during strategy courses and in actual strategy work. The note focuses especially on... View Details
- January–February 2018
- Article
Ads That Don't Overstep: How to Make Sure You Don't Take Personalization Too Far
By: Leslie John, Tami Kim and Kate Barasz
Data gathered on the web has vastly enhanced the capabilities of marketers. With people regularly sharing personal details online and internet cookies tracking every click, companies can now gain unprecedented insight into individual consumers and target them with... View Details
- Article
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
The most prevalent notions of fairness in machine learning are statistical definitions: they fix a small collection of pre-defined groups, and then ask for parity of some statistic of the classifier (like classification rate or false positive rate) across these groups.... View Details