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(316)
- News (20)
- Research (267)
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- Faculty Publications (170)
Show Results For
-
All HBS Web
(316)
- News (20)
- Research (267)
- Events (3)
- Multimedia (1)
- Faculty Publications (170)
- 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...
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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.)
- September 2002 (Revised March 2003)
- Technical Note
Technical Note on Equity-Linked Consideration, Part 2: Announcement Effects
The announcement of merger or acquisition conveys new information to the capital markets. Shareholders and portfolio managers assess the news and trade on the basis of their new appraisals of value. Thus, from the actual Pstks of the two companies one can infer from...
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Baldwin, Carliss Y. "Technical Note on Equity-Linked Consideration, Part 2: Announcement Effects." Harvard Business School Technical Note 903-028, September 2002. (Revised March 2003.)
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
- 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...
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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.
- 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...
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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.
- 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...
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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.)
- 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...
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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.)
- 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...
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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...
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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...
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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.)
- 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....
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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.
- 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...
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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.
- 2017
- Working Paper
The Right Mix: Angels, Venture Capitalists, and the Assembly of Entrepreneurial Resources
By: Benjamin Hallen and Rory McDonald
New ventures rely on external relationships for capital, knowledge, and networks. We examine how ventures assemble these resources—and whether they are all accessible from the same sources—in relationships with two types of investors: venture capital firms and angels....
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- 2009
- Working Paper
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...
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Keywords:
Ethnicity;
War;
Health Disorders;
Policy;
Health Care and Treatment;
Conflict and Resolution;
Bosnia and Hercegovina
Do, Quy-Toan, and Lakshmi Iyer. "Mental Health in the Aftermath of Conflict." Harvard Business School Working Paper, No. 10-040, November 2009.
- 2005
- Working Paper
Pseudo Market Timing and Predictive Regressions
By: Malcolm Baker, Ryan Taliaferro and Jeffrey Wurgler
A number of studies claim that aggregate managerial decision variables, such as aggregate equity issuance, have power to predict stock or bond market returns. Recent research argues that these results may be driven by an aggregate time-series version of Schultz's...
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Keywords:
Managerial Roles;
Equity;
Market Timing;
Financial Instruments;
Investment Return;
Mathematical Methods
Baker, Malcolm, Ryan Taliaferro, and Jeffrey Wurgler. "Pseudo Market Timing and Predictive Regressions." NBER Working Paper Series, No. 10823, January 2005. (First Draft in 2004.)
- 11 Jun 2013
- Working Paper Summaries
Measurement Errors of Expected Returns Proxies and the Implied Cost of Capital
Keywords:
by Charles C.Y. Wang
- Article
Incorporating Interpretable Output Constraints in Bayesian Neural Networks
By: Wanqian Yang, Lars Lorch, Moritz Graule, Himabindu Lakkaraju and Finale Doshi-Velez
Domains where supervised models are deployed often come with task-specific constraints, such as prior expert knowledge on the ground-truth function, or desiderata like safety and fairness. We introduce a novel probabilistic framework for reasoning with such constraints...
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Yang, Wanqian, Lars Lorch, Moritz Graule, Himabindu Lakkaraju, and Finale Doshi-Velez. "Incorporating Interpretable Output Constraints in Bayesian Neural Networks." Advances in Neural Information Processing Systems (NeurIPS) 33 (2020).
- June 2008
- Article
How Are Preferences Revealed?
By: John Beshears, James J. Choi, David Laibson and Brigitte C. Madrian
Revealed preferences are tastes that rationalize an economic agent's observed actions. Normative preferences represent the agent's actual interests. It sometimes makes sense to assume that revealed preferences are identical to normative preferences. But there are many...
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Beshears, John, James J. Choi, David Laibson, and Brigitte C. Madrian. "How Are Preferences Revealed?" Journal of Public Economics 92, nos. 8-9 (June 2008): 1787–1794.
- June 2013
- Article
Opting-in: Participation Bias in Economic Experiments
By: Robert Slonim, Carmen Wang, Ellen Garbarino and Danielle Merrett
Assuming individuals rationally decide whether to participate or not to participate in lab experiments, we hypothesize several non-representative biases in the characteristics of lab participants. We test the hypotheses by first collecting survey and experimental data...
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Slonim, Robert, Carmen Wang, Ellen Garbarino, and Danielle Merrett. "Opting-in: Participation Bias in Economic Experiments." Journal of Economic Behavior & Organization 90 (June 2013): 43–70.
- July 2023 (Revised July 2023)
- Background Note
Generative AI Value Chain
By: Andy Wu and Matt Higgins
Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are...
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Keywords:
AI;
Artificial Intelligence;
Model;
Hardware;
Data Centers;
AI and Machine Learning;
Applications and Software;
Analytics and Data Science;
Value
Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)