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(2,044)
- News (420)
- Research (1,318)
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- Faculty Publications (450)
Show Results For
- All HBS Web
(2,044)
- News (420)
- Research (1,318)
- Events (25)
- Multimedia (3)
- Faculty Publications (450)
- 2021
- Working Paper
Connecting Expected Stock Returns to Accounting Valuation Multiples: A Primer
By: Akash Chattopadhyay, Matthew R. Lyle and Charles C.Y. Wang
We outline a framework in which accounting “valuation anchors" could be connected to expected stock returns. Under two general conditions, expected log returns is a log-linear function of a valuation (market value-to-accounting) multiple and the expected growth in the... View Details
Keywords: Expected Returns; Present Value; Investment Return; Accounting; Valuation; Information; Framework
Chattopadhyay, Akash, Matthew R. Lyle, and Charles C.Y. Wang. "Connecting Expected Stock Returns to Accounting Valuation Multiples: A Primer." Harvard Business School Working Paper, No. 21-081, January 2021.
- June 2012 (Revised August 2013)
- Case
Driving Towards a Disruption?
By: Willy Shih and William Noble
As Clayton Christensen drove to the studio to deliver an online executive education class, he pondered the future of management education. How big a threat did online degree programs, corporate universities, and other innovations in the delivery of management training... View Details
Keywords: Disruptive Technology; Performance Trajectories; Disruptive Innovations; Business Education; Business School; Internet And Online Services Industries; Disruptive Innovation; Higher Education; Corporate Strategy; Internet; Performance; Education Industry; Boston
Shih, Willy, and William Noble. "Driving Towards a Disruption?" Harvard Business School Case 612-101, June 2012. (Revised August 2013.)
- 2006
- Article
Measuring the Effect of Multimarket Contact on Competition: Evidence from Mergers Following Radio Broadcast Ownership Deregulation
By: Joel Waldfogel and Julie Wulf
This paper examines the effects of multimarket contact on advertising prices in the U.S. radio broadcasting industry. While it is in general difficult to measure the effect of multimarket contact on competition, the 1996 Telecommunications Act substantially relaxed... View Details
Keywords: Marketing Communications; Markets; Geographic Location; Advertising; Ownership; Price; Telecommunications Industry; Media and Broadcasting Industry; United States
Waldfogel, Joel, and Julie Wulf. "Measuring the Effect of Multimarket Contact on Competition: Evidence from Mergers Following Radio Broadcast Ownership Deregulation." Art. 17. Contributions B.E. Journal of Economic Analysis & Policy 5, no. 1 (2006).
Eliminating unintended bias in personalized policies using Bias Eliminating Adapted Trees (BEAT) - PNAS
An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those... View Details
- 2010
- Working Paper
The Empire Struck Back: The Mexican Oil Expropriation of 1938 Reconsidered
By: Noel Maurer
The Mexican expropriation of 1938 was the first large-scale non-Communist expropriation of foreign-owned natural resource assets. The literature generally makes three assertions: the U.S. government did not fully back the companies, Mexico did not fully compensate them... View Details
Keywords: Non-Renewable Energy; Governance Controls; Business History; Ownership; Business and Government Relations; Natural Environment; Energy Industry; Mexico; United States
Maurer, Noel. "The Empire Struck Back: The Mexican Oil Expropriation of 1938 Reconsidered." Harvard Business School Working Paper, No. 10-108, June 2010.
- Article
A Blueprint for Pharmacy Benefits Managers to Increase Value
By: William Shrank, Michael E. Porter, Sachin H. Jain and Niteesh K. Choudhary
Pharmacy benefits managers (PBMs) have a unique opportunity to promote public health and generate value in the healthcare system. However, PBMs are largely evaluated on their ability to control costs rather than improve health. PBMs should be evaluated along three... View Details
Keywords: Opportunities; Health; System; Cost Management; Partners and Partnerships; Motivation and Incentives; Value; Innovation and Invention; Performance Effectiveness; Health Industry; Pharmaceutical Industry
Shrank, William, Michael E. Porter, Sachin H. Jain, and Niteesh K. Choudhary. "A Blueprint for Pharmacy Benefits Managers to Increase Value." American Journal of Managed Care 15, no. 2 (February 2009).
- October–December 2023
- Article
A Practical Guide to Conversation Research: How to Study What People Say to Each Other
By: Michael Yeomans, Katelynn Boland, Hanne K. Collins, Nicole Abi-Esber and Alison Wood Brooks
Conversation—a verbal interaction between two or more people—is a complex, pervasive, and consequential human behavior. Conversations have been studied across many academic disciplines. However, advances in recording and analysis techniques over the last decade have... View Details
Yeomans, Michael, Katelynn Boland, Hanne K. Collins, Nicole Abi-Esber, and Alison Wood Brooks. "A Practical Guide to Conversation Research: How to Study What People Say to Each Other." Advances in Methods and Practices in Psychological Science 6, no. 4 (October–December 2023).
- 2021
- Article
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
By: Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, Antonio Torralba, James J. DiCarlo, Joshua B. Tenenbaum, Josh H. McDermott and Daniel L.K. Yamins
We introduce ThreeDWorld (TDW), a platform for interactive multi-modal physical simulation. TDW enables simulation of high-fidelity sensory data and physical interactions between mobile agents and objects in rich 3D environments. Unique properties include: real-time... View Details
Keywords: Artificial Intelligence; Platform; Interactive Physical Simulation; Virtual Environment; Multi-modal; AI and Machine Learning
Gan, Chuang, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, Antonio Torralba, James J. DiCarlo, Joshua B. Tenenbaum, Josh H. McDermott, and Daniel L.K. Yamins. "ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 35th (2021).
- 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.)
- 2023
- Article
Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations.
By: Edward McFowland III and Cosma Rohilla Shalizi
Social influence cannot be identified from purely observational data on social networks, because such influence is generically confounded with latent homophily, that is, with a node’s network partners being informative about the node’s attributes and therefore its... View Details
Keywords: Causal Inference; Homophily; Social Networks; Peer Influence; Social and Collaborative Networks; Power and Influence; Mathematical Methods
McFowland III, Edward, and Cosma Rohilla Shalizi. "Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations." Journal of the American Statistical Association 118, no. 541 (2023): 707–718.
- October 2011
- Article
The Surprising Power of Age-Dependent Taxes
This article provides a new, empirically driven application of the dynamic Mirrleesian framework by studying a feasible and potentially powerful tax reform: age-dependent labor income taxation. I show analytically how age dependence improves policy on both the... View Details
Weinzierl, Matthew C. "The Surprising Power of Age-Dependent Taxes." Review of Economic Studies 78, no. 4 (October 2011): 1490–1518. (Also Harvard Business School Working Paper, No. 11-114, May 2011.)
Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations
Social influence cannot be identified from purely observational data on social networks, because such influence is generically confounded with latent homophily, that is, with a node’s network partners being informative about the node’s attributes and therefore... View Details
Price Bargaining and Competition in Online Platforms: An Empirical Analysis of the Daily Deal Market
The prevalence of online platforms opens new doors to traditional businesses for customer reach and revenue growth. This research investigates platform competition in a setting where prices are determined by negotiations between platforms and businesses. We compile a... View Details
- Forthcoming
- Article
Slowly Varying Regression Under Sparsity
By: Dimitris Bertsimas, Vassilis Digalakis Jr, Michael Lingzhi Li and Omar Skali Lami
We consider the problem of parameter estimation in slowly varying regression models with sparsity constraints. We formulate the problem as a mixed integer optimization problem and demonstrate that it can be reformulated exactly as a binary convex optimization problem... View Details
Bertsimas, Dimitris, Vassilis Digalakis Jr, Michael Lingzhi Li, and Omar Skali Lami. "Slowly Varying Regression Under Sparsity." Operations Research (forthcoming). (Pre-published online March 27, 2024.)
- September–October 2015
- Article
Facts and Figuring: An Experimental Investigation of Network Structure and Performance in Information and Solution Spaces
By: Jesse Shore, Ethan Bernstein and David Lazer
Using data from a novel laboratory experiment on complex problem solving in which we varied the structure of 16-person networks, we investigate how an organization's network structure shapes performance of problem-solving tasks. Problem solving, we argue, involves both... View Details
Keywords: Networks; Experiments; Clustering; Problem Solving; Exploration And Exploitation; Knowledge; Search; Collaboration; Collaboration Structures; Transparency; Communication; Communication Technology; Information; Knowledge Use and Leverage; Organizational Design; Organizational Structure; Performance Effectiveness; Theory; Information Industry; Information Technology Industry; Public Administration Industry; Technology Industry; Service Industry
Shore, Jesse, Ethan Bernstein, and David Lazer. "Facts and Figuring: An Experimental Investigation of Network Structure and Performance in Information and Solution Spaces." Organization Science 26, no. 5 (September–October 2015): 1432–1446. (Won 2014 INGRoup Outstanding Paper Award.)
- 2019
- Article
Time Series Experiments and Causal Estimands: Exact Randomization Tests and Trading
By: Iavor I Bojinov and Neil Shephard
We define causal estimands for experiments on single time series, extending the potential outcome framework to dealing with temporal data. Our approach allows the estimation of a broad class of these estimands and exact randomization based p-values for testing causal... View Details
Bojinov, Iavor I., and Neil Shephard. "Time Series Experiments and Causal Estimands: Exact Randomization Tests and Trading." Journal of the American Statistical Association 114, no. 528 (2019): 1665–1682.
- 21 Nov 2008
- Working Paper Summaries
Applicant and Examiner Citations in U.S. Patents: An Overview and Analysis
Keywords: by Juan Alcacer
- 2023
- Chapter
Marketing Through the Machine’s Eyes: Image Analytics and Interpretability
By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan
he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the... View Details
Zhang, Shunyuan, Flora Feng, and Kannan Srinivasan. "Marketing Through the Machine’s Eyes: Image Analytics and Interpretability." Chap. 8 in Artificial Intelligence in Marketing. 20, edited by Naresh K. Malhotra, K. Sudhir, and Olivier Toubia, 217–238. Review of Marketing Research. Emerald Publishing Limited, 2023.
- Summer 2017
- Article
Copyright Enforcement: Evidence from Two Field Experiments
By: Hong Luo and Julie Holland Mortimer
Effective dispute resolution is important for reducing private and social costs. We study how resolution responds to changes in price and communication using a new, extensive dataset of copyright infringement incidences by firms. The data cover two field experiments... View Details
Luo, Hong, and Julie Holland Mortimer. "Copyright Enforcement: Evidence from Two Field Experiments." Journal of Economics & Management Strategy 26, no. 2 (Summer 2017): 499–528.
Karim R. Lakhani
Karim R. Lakhani is the Dorothy & Michael Hintze Professor of Business Administration at the Harvard Business School. He specializes in technology management, innovation, digital transformation and artificial... View Details