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Show Results For
- All HBS Web
(776)
- People (2)
- News (178)
- Research (454)
- Events (1)
- Multimedia (3)
- Faculty Publications (197)
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- 30 Oct 2018
- First Look
New Research and Ideas, October 30, 2018
in data. ML methods also address several issues raised by scholars pertinent to the norms of empirical research in the fields of strategy and management (such as “p-hacking” and confounding local effects with global effects). We provide a... View Details
Keywords: Dina Gerdeman
- 25 Sep 2012
- First Look
First Look: September 25
Sector from 'Preventing Regulatory Capture: Special Interest Influence, and How to Limit It' Authors: Daniel Carpenter, David Moss, and Melanie Wachtell Stinnett Publication: Chap. 3 in The Making of Good Financial Regulation: Towards a... View Details
Keywords: Sean Silverthorne
- 2023
- Working Paper
Evaluation and Learning in R&D Investment
By: Alexander P. Frankel, Joshua L. Krieger, Danielle Li and Dimitris Papanikolaou
We examine the role of spillover learning in shaping the value of exploratory versus incremental
R&D. Using data from drug development, we show that novel drug candidates generate more
knowledge spillovers than incremental ones. Despite being less likely to reach... View Details
Frankel, Alexander P., Joshua L. Krieger, Danielle Li, and Dimitris Papanikolaou. "Evaluation and Learning in R&D Investment." Harvard Business School Working Paper, No. 23-074, May 2023. (NBER Working Paper Series, No. 31290, May 2023.)
- March 2009 (Revised September 2011)
- Case
UBS and Auction Rate Securities (A)
By: Daniel Baird Bergstresser, Shawn A. Cole and Siddharth Bhaskar Shenai
UBS, a global financial services company, must decide whether to continue to support the market for Auction Rate Securities in the face of a growing financial crisis. These instruments, underwritten by UBS, were marketed to clients as highly liquid and safe... View Details
Keywords: Cost vs Benefits; Financial Crisis; Asset Pricing; Financial Liquidity; Financial Instruments; Government Legislation; Risk and Uncertainty; Financial Services Industry
Bergstresser, Daniel Baird, Shawn A. Cole, and Siddharth Bhaskar Shenai. "UBS and Auction Rate Securities (A)." Harvard Business School Case 209-119, March 2009. (Revised September 2011.)
- 2019
- Working Paper
Collusive Investments in Technological Compatibility: Lessons from U.S. Railroads in the Late 19th Century
By: Daniel P. Gross
Collusion is widely condemned for its negative effects on consumer welfare and market efficiency. In this paper, I show that collusion may also in some cases facilitate the creation of unexpected new sources of value. I bring this possibility into focus through the... View Details
Keywords: Collusion; Compatibility; Railroads; Rail Transportation; Standards; Integration; Trade; History; United States
Gross, Daniel P. "Collusive Investments in Technological Compatibility: Lessons from U.S. Railroads in the Late 19th Century." Harvard Business School Working Paper, No. 17-044, December 2016. (Accepted at Management Science.)
- 2023
- Working Paper
Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness
By: Neil Menghani, Edward McFowland III and Daniel B. Neill
In this paper, we develop a new criterion, "insufficiently justified disparate impact" (IJDI), for assessing whether recommendations (binarized predictions) made by an algorithmic decision support tool are fair. Our novel, utility-based IJDI criterion evaluates false... View Details
Menghani, Neil, Edward McFowland III, and Daniel B. Neill. "Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness." Working Paper, June 2023.
- 26 Apr 2020
- Other Presentation
Towards Modeling the Variability of Human Attention
By: Kuno Kim, Megumi Sano, Julian De Freitas, Daniel Yamins and Nick Haber
Children exhibit extraordinary exploratory behaviors hypothesized to contribute to the building of models of their world. Harnessing this capacity in artificial systems promises not only more flexible technology but also cognitive models of the developmental processes... View Details
Keywords: Exploratory Learning Behaviors; Modeling; Artificial Intelligence; AI and Machine Learning
Kim, Kuno, Megumi Sano, Julian De Freitas, Daniel Yamins, and Nick Haber. "Towards Modeling the Variability of Human Attention." In Bridging AI and Cognitive Science (BAICS) Workshop. 8th International Conference on Learning Representations (ICLR), April 26, 2020.
- 2015
- Working Paper
Public R&D Investments and Private-sector Patenting: Evidence from NIH Funding Rules
By: Pierre Azoulay, Joshua S. Graff Zivin, Danielle Li and Bhaven N. Sampat
We quantify the impact of scientific grant funding at the National Institutes of Health (NIH) on patenting by pharmaceutical and biotechnology firms. Our paper makes two contributions. First, we use newly constructed bibliometric data to develop a method for flexibly... View Details
Keywords: Economics Of Science; Patenting; Academic Reserach; NIH; Knowledge Spillovers; Patents; Research; Government and Politics
Azoulay, Pierre, Joshua S. Graff Zivin, Danielle Li, and Bhaven N. Sampat. "Public R&D Investments and Private-sector Patenting: Evidence from NIH Funding Rules." Harvard Business School Working Paper, No. 16-056, October 2015.
- 29 Sep 2009
- First Look
First Look: September 29
yields. However, the fraction of seniors is uncorrelated with share repurchases, investment, or profitability, suggesting that geographic variation in dividend payout is not driven by some unmeasured firm characteristic affecting the... View Details
Keywords: Martha Lagace
- 2010
- Working Paper
Agency Revisited
By: Ramon Casadesus-Masanell and Daniel F. Spulber
The article presents a comprehensive overview of the principal-agent model that emphasizes the role of trust in the agency relationship. The analysis demonstrates that the legal remedy for breach of duty can result in a full-information efficient outcome eliminating... View Details
Casadesus-Masanell, Ramon, and Daniel F. Spulber. "Agency Revisited." Harvard Business School Working Paper, No. 10-082, March 2010.
- November 2019
- Supplement
Gillette: Cutting Prices to Regain Share
By: Benjamin C. Esty and Daniel Fisher
After losing market share to low-priced competitors such as Harry’s and Dollar Shave Club for several years, Gillette decided to fight back by cutting prices on its razors and blades in April 2017. Bonnie Herzog, an equity analyst at Wells Fargo, must assess how the... View Details
- 2023
- Article
Provable Detection of Propagating Sampling Bias in Prediction Models
By: Pavan Ravishankar, Qingyu Mo, Edward McFowland III and Daniel B. Neill
With an increased focus on incorporating fairness in machine learning models, it becomes imperative not only to assess and mitigate bias at each stage of the machine learning pipeline but also to understand the downstream impacts of bias across stages. Here we consider... View Details
Ravishankar, Pavan, Qingyu Mo, Edward McFowland III, and Daniel B. Neill. "Provable Detection of Propagating Sampling Bias in Prediction Models." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 8 (2023): 9562–9569. (Presented at the 37th AAAI Conference on Artificial Intelligence (2/7/23-2/14/23) in Washington, DC.)
- 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... View Details
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.
- 30 Jun 2009
- First Look
First Look: June 30
theorists differ as to whether exploitation undermines or enhances exploration. The debate reflects a gap—the missing theoretical mechanism by which organizations break free of old routines and discover new ones. We propose that the... View Details
Keywords: Martha Lagace
- 2017
- Working Paper
Biased Beliefs About Random Samples: Evidence from Two Integrated Experiments
By: Daniel J. Benjamin, Don A. Moore and Matthew Rabin
This paper describes results of a pair of incentivized experiments on biases in judgments about random samples. Consistent with the Law of Small Numbers (LSN), participants exaggerated the likelihood that short sequences and random subsets of coin flips would be... View Details
Benjamin, Daniel J., Don A. Moore, and Matthew Rabin. "Biased Beliefs About Random Samples: Evidence from Two Integrated Experiments." NBER Working Paper Series, No. 23927, October 2017.
- June 29, 2022
- Other Article
Strategic Complexity? Using Experiments to Understand and Overcome Obfuscation
By: Michael Luca, Ginger Zhe Jin and Daniel Martin
Credit card companies must decide what product features to disclose to consumers, such as payment schedules, penalties, and fees--and also whether to present them clearly or bury them in the fine print. Firms face similar choices in settings ranging from privacy... View Details
Keywords: Obfuscation; Credit Cards; Strategic Incentives; Complexity; Agreements and Arrangements; Customers; Consumer Behavior; Financial Services Industry
Luca, Michael, Ginger Zhe Jin, and Daniel Martin. "Strategic Complexity? Using Experiments to Understand and Overcome Obfuscation." Management Science Review (June 29, 2022). (Summary of "Complex Disclosure," Management Science, May 2022.)
- 12 Apr 2016
- First Look
April 12, 2016
differences disappear when callers mention a benchmark price for the repair. Finally, we find that repair shops are more likely to offer a price concession if asked to do so by a woman than a man. Publisher's link:... View Details
Keywords: Sean Silverthorne
- 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
Herlands, William, Edward McFowland III, Andrew Gordon Wilson, and Daniel B. Neill. "Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data." Proceedings of Machine Learning Research (PMLR) 84 (2018): 425–434. (Also presented at the 21st International Conference on Artificial Intelligence and Statistics (AISTATS), 2018.)
- November 2023
- Case
Swanson Health: Becoming a Super Seller
By: William R. Kerr, Daniel O'Connor and Paige Boehmcke
Founded in 1969, Swanson Health sold vitamins, supplements, natural health products, and organic foods. Over the years, the company had successfully navigated multiple industry transitions as it expanded from a print catalog to sell products on its own... View Details
Keywords: Sales; Transition; Growth Management; Distribution Channels; Organizational Change and Adaptation; Health Industry; Consumer Products Industry; United States
Kerr, William R., Daniel O'Connor, and Paige Boehmcke. "Swanson Health: Becoming a Super Seller." Harvard Business School Case 824-093, November 2023.
- 15 Feb 2011
- First Look
First Look: Feb. 15
experiments offer evidence that debates about the relative costs and benefits of self-deception are informed by adopting a temporal view that assesses the cumulative impact of self-deception over time. Download the paper:... View Details
Keywords: Sean Silverthorne