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(320)
- News (19)
- Research (273)
- Events (6)
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- Faculty Publications (177)
Show Results For
- All HBS Web
(320)
- News (19)
- Research (273)
- Events (6)
- Multimedia (1)
- Faculty Publications (177)
- 2023
- Working Paper
Black-box Training Data Identification in GANs via Detector Networks
By: Lukman Olagoke, Salil Vadhan and Seth Neel
Since their inception Generative Adversarial Networks (GANs) have been popular generative models across images, audio, video, and tabular data. In this paper we study whether given access to a trained GAN, as well as fresh samples from the underlying distribution, if... View Details
Olagoke, Lukman, Salil Vadhan, and Seth Neel. "Black-box Training Data Identification in GANs via Detector Networks." Working Paper, October 2023.
- Article
Coarse Thinking and Persuasion
By: Sendhil Mullainathan, Joshua Schwartzstein and Andrei Shleifer
We present a model of uninformative persuasion in which individuals "think coarsely": they group situations into categories and apply the same model of inference to all situations within a category. Coarse thinking exhibits two features that persuaders take advantage... View Details
Mullainathan, Sendhil, Joshua Schwartzstein, and Andrei Shleifer. "Coarse Thinking and Persuasion." Quarterly Journal of Economics 123, no. 2 (May 2008): 577–619.
- Article
Little Patents and Big Secrets: Managing Intellectual Property
By: James J. Anton and Dennis A. Yao
Exploitation of an innovation commonly requires some disclosure of enabling knowledge (e.g., to obtain a patent or induce complementary investment). When property rights offer only limited protection, the value of the disclosure is offset by the increased threat of... View Details
Keywords: Patents; Management; Innovation and Invention; Knowledge; Rights; Value; Information; Corporate Disclosure
Anton, James J., and Dennis A. Yao. "Little Patents and Big Secrets: Managing Intellectual Property." RAND Journal of Economics 35, no. 1 (Spring 2004): 1–22. (Harvard users click here for full text.)
Zhongming Jiang
Zhongming Jiang is a first-year Ph.D. student in Marketing (Quantitative) at Harvard Business School. His research focuses on developing methodologies for Customer Relationship Management (CRM) that enable personalized interventions, dynamic customer... View Details
- Article
How Much Should We Trust Staggered Difference-In-Differences Estimates?
By: Andrew C. Baker, David F. Larcker and Charles C.Y. Wang
We explain when and how staggered difference-in-differences regression estimators, commonly applied to assess the impact of policy changes, are biased. These biases are likely to be relevant for a large portion of research settings in finance, accounting, and law that... View Details
Keywords: Difference In Differences; Staggered Difference-in-differences Designs; Generalized Difference-in-differences; Dynamic Treatment Effects; Mathematical Methods
Baker, Andrew C., David F. Larcker, and Charles C.Y. Wang. "How Much Should We Trust Staggered Difference-In-Differences Estimates?" Journal of Financial Economics 144, no. 2 (May 2022): 370–395. (Editor's Choice, May 2022; Jensen Prize, First Place, June 2023.)
- January 1989 (Revised July 1991)
- Case
Bank for International Development, Software Case
By: W. Carl Kester and Timothy A. Luehrman
A hypothetical case in which an assistant treasurer of a supranational bank is asked to determine in which currencies it has been cheaper ex post to borrow. An integral part of the case is a Lotus 1-2-3 worksheet containing monthly data on yen and dollar interest... View Details
Keywords: Decisions; Interest Rates; International Finance; Relationships; Currency; Management Analysis, Tools, and Techniques; Analytics and Data Science; Inflation and Deflation
Kester, W. Carl, and Timothy A. Luehrman. "Bank for International Development, Software Case." Harvard Business School Case 289-034, January 1989. (Revised July 1991.)
Matthew Rabin
Matthew Rabin is the Pershing Square Professor of Behavioral Economics in the Harvard Economics Department and Harvard Business School.
Before that, he spent 25 years at the wonderful University of California, Berkeley Economics Department. His research... View Details
- 2012
- Chapter
Mental Health in the Aftermath of Conflict
By: Quy-Toan Do and Lakshmi Iyer
We survey the recent literature on the mental health effects of conflict. We highlight the methodological challenges faced in this literature, which include the lack of validated mental health scales in a survey context, the difficulties in measuring individual... View Details
Keywords: Conflict of Interests; Measurement and Metrics; Surveys; Analytics and Data Science; Ethnicity; War; Health Disorders; Body of Literature; Problems and Challenges; Bosnia and Hercegovina
Do, Quy-Toan, and Lakshmi Iyer. "Mental Health in the Aftermath of Conflict." In Oxford Handbook of the Economics of Peace and Conflict, edited by Michelle Garfinkel and Stergios Skaperdas. Oxford University Press, 2012.
- 2014
- Article
The Growth and Limits of Arbitrage: Evidence from Short Interest
By: Samuel G. Hanson and Adi Sunderam
We develop a novel methodology to infer the amount of capital allocated to quantitative equity arbitrage strategies. Using this methodology, which exploits time-variation in the cross section of short interest, we document that the amount of capital devoted to value... View Details
Hanson, Samuel G., and Adi Sunderam. "The Growth and Limits of Arbitrage: Evidence from Short Interest." Review of Financial Studies 27, no. 4 (April 2014): 1238–1286. (Winner of the RFS Rising Scholar Prize 2014. Internet Appendix Here.)
- 2024
- Article
Political Polarization and Finance
By: Elisabeth Kempf and Margarita Tsoutsoura
We review an empirical literature that studies how political polarization affects financial decisions. We first discuss the degree of partisan segregation in finance and corporate America, the mechanisms through which partisanship may influence financial decisions, and... View Details
Kempf, Elisabeth, and Margarita Tsoutsoura. "Political Polarization and Finance." Annual Review of Financial Economics 16 (2024): 413–434.
- November 2006
- Article
Patent Citations as a Measure of Knowledge Flows: The Influence of Examiner Citations
By: Juan Alcacer and Michelle Gittelman
Analysis of patent citations is a core methodology in the study of knowledge diffusion. However, citations made by patent examiners have not been separately reported, adding unknown noise to the data. We leverage a recent change in the reporting of patent data showing... View Details
Keywords: Patents; Knowledge Sharing; Management Analysis, Tools, and Techniques; Information Technology; Prejudice and Bias; Change
Alcacer, Juan, and Michelle Gittelman. "Patent Citations as a Measure of Knowledge Flows: The Influence of Examiner Citations." Review of Economics and Statistics 88, no. 4 (November 2006): 774–779.
- 11 Jun 2013
- Working Paper Summaries
Measurement Errors of Expected Returns Proxies and the Implied Cost of Capital
Keywords: by Charles C.Y. Wang
- 2024
- Working Paper
Advancing Personalization: How to Experiment, Learn & Optimize
By: Aurelie Lemmens, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela and Oded Netzer
Personalization has become the heartbeat of modern marketing. Advances in causal inference and machine learning enable companies to understand how the same marketing action can impact the choices of individual customers differently. This article provides an academic... View Details
Keywords: Personalization; Targeting; Experiments; Observational Studies; Policy Implementation; Policy Evaluation; Customization and Personalization; Marketing Strategy; AI and Machine Learning
Lemmens, Aurelie, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela, and Oded Netzer. "Advancing Personalization: How to Experiment, Learn & Optimize." Working Paper, July 2024. (Revised March 2025.)
- 2022
- Working Paper
Failing Just Fine: Assessing Careers of Venture Capital-backed Entrepreneurs via a Non-wage Measure
By: Natee Amornsiripanitch, Paul Gompers, George Hu, Will Levinson and Vladimir Mukharlyamov
This paper proposes a non-pecuniary measure of career achievement, Seniority. Based on a database of over 5 million resumes, this metric exploits the variation in job titles and how long they take to attain. When non-monetary factors influence career choice, inference... View Details
Keywords: Career Outcomes; Founders; Personal Development and Career; Venture Capital; Entrepreneurship
Amornsiripanitch, Natee, Paul Gompers, George Hu, Will Levinson, and Vladimir Mukharlyamov. "Failing Just Fine: Assessing Careers of Venture Capital-backed Entrepreneurs via a Non-wage Measure." NBER Working Paper Series, No. 30179, June 2022.
- 20 Nov 2007
- Working Paper Summaries
The “Fees → Savings” Link, or Purchasing Fifty Pounds of Pasta
- 2014
- Article
Thought Calibration: How Thinking Just the Right Amount Increases One’s Influence and Appeal
By: Daniella Kupor, Zakary L. Tormala, Michael I. Norton and Derek D. Rucker
Previous research suggests that people draw inferences about their attitudes and preferences based on their own thoughtfulness. The current research explores how observing other individuals make decisions more or less thoughtfully can shape perceptions of those... View Details
Keywords: Thoughtfulness; Liking; Social Influence; Decisions; Attitudes; Cognition and Thinking; Power and Influence
Kupor, Daniella, Zakary L. Tormala, Michael I. Norton, and Derek D. Rucker. "Thought Calibration: How Thinking Just the Right Amount Increases One’s Influence and Appeal." Social Psychological & Personality Science 5, no. 3 (April 2014): 263–270.
- November 2012
- Article
An Age Penalty in Racial Preferences
By: Deborah A. Small, Devin G. Pope and Michael I. Norton
We document an age penalty in racial discrimination: charitable behavior toward African American children decreases-and negative stereotypical inferences increase-with the age of those children. Using data from an online charity that solicits donations for school... View Details
Keywords: Stereotyping; Charitable Giving; Prejudice; Prosocial Behavior; Philanthropy and Charitable Giving; Age; Race; Prejudice and Bias
Small, Deborah A., Devin G. Pope, and Michael I. Norton. "An Age Penalty in Racial Preferences." Social Psychological & Personality Science 3, no. 6 (November 2012): 730–737.
- December 2007 (Revised January 2008)
- Background Note
Evaluating M&A Deals-Announcement Effects, Risk Arbitrage and Event Risk
The announcement of merger or acquisition conveys new information to the capital markets. This note describes how the stock prices of a Buyer and Target behave after the announcement of a deal. First, for an all-stock deal that is certain to go through, the note... View Details
Keywords: Mergers and Acquisitions; Announcements; Capital Markets; Stocks; Price; Risk and Uncertainty
Baldwin, Carliss Y. "Evaluating M&A Deals-Announcement Effects, Risk Arbitrage and Event Risk." Harvard Business School Background Note 208-103, December 2007. (Revised January 2008.)
- March 2018
- Case
TrustSphere: Building a Market for Relationship Analytics
By: Boris Groysberg and Katherine Connolly Baden
Manish Goel was the CEO of TrustSphere, a seven-year-old company in the data analytics industry that focused squarely on relationship analytics, a space in which TrustSphere was pioneering a unique technology and solutions in the areas of sales, risk, and people... View Details
Keywords: Data Analytics; People Analytics; Talent Management; Human Resources; Networks; Relationships; Analysis; Employee Relationship Management; Core Relationships; Applications and Software; Communication; Technology Industry; Singapore
Groysberg, Boris, and Katherine Connolly Baden. "TrustSphere: Building a Market for Relationship Analytics." Harvard Business School Case 418-070, March 2018.
- Article
Why Am I Seeing This Ad? The Effect of Ad Transparency on Ad Effectiveness
By: Tami Kim, Kate Barasz and Leslie K. John
Given the increasingly specific ways marketers can target ads, many consumers and regulators are demanding ad transparency: disclosure of how consumers’ personal information was used to generate ads. We investigate how and why ad transparency impacts ad effectiveness.... View Details
Keywords: Digital Marketing; Customization and Personalization; Information; Trust; Performance Effectiveness
Kim, Tami, Kate Barasz, and Leslie K. John. "Why Am I Seeing This Ad? The Effect of Ad Transparency on Ad Effectiveness." Journal of Consumer Research 45, no. 5 (February 2019): 906–932.