Filter Results:
(1,924)
Show Results For
- All HBS Web
(1,924)
- People (2)
- News (213)
- Research (1,368)
- Events (15)
- Multimedia (14)
- Faculty Publications (905)
Show Results For
- All HBS Web
(1,924)
- People (2)
- News (213)
- Research (1,368)
- Events (15)
- Multimedia (14)
- Faculty Publications (905)
- 20 Aug 2013
- First Look
First Look: August 20
empirically the method proposed by Arcidiacono and Miller (2011) to accommodate unobserved latent class heterogeneity using a computationally light two-step estimator. Second, we illustrate how discount factors can be estimated in a... View Details
Keywords: Anna Secino
- 18 Nov 2014
- First Look
First Look: November 18
business model and analyzes how his firm evolved into a diversified business group. The research supports prevailing explanations of business groups, which identify the role of institutional voids, government policies, and contact... View Details
Keywords: Sean Silverthorne
- 2023
- Working Paper
Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation
By: Dae Woong Ham, Michael Lindon, Martin Tingley and Iavor Bojinov
Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details
Keywords: Performance Evaluation; Research and Development; Analytics and Data Science; Consumer Behavior
Ham, Dae Woong, Michael Lindon, Martin Tingley, and Iavor Bojinov. "Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation." Harvard Business School Working Paper, No. 23-070, May 2023.
- Web
Marketing - Doctoral
field exam, and then another three years on dissertation research and writing. The Marketing program draws on computer science, economics, behavioral science, and psychological methods to focus on marketing... View Details
- 2023
- Other Article
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications
By: Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers and Stuart Shieber
Innovation is a major driver of economic and social development, and information about many kinds of innovation is embedded in semi-structured data from patents and patent applications. Though the impact and novelty of innovations expressed in patent data are difficult... View Details
Keywords: USPTO; Natural Language Processing; Classification; Summarization; Patent Novelty; Patent Trolls; Patent Enforceability; Patents; Innovation and Invention; Intellectual Property; AI and Machine Learning; Analytics and Data Science
Suzgun, Mirac, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, and Stuart Shieber. "The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
- 2014
- Working Paper
Search-Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches
By: Charles M.C. Lee, Paul Ma and Charles C.Y. Wang
Applying a "co-search" algorithm to Internet traffic at the SEC's EDGAR web-site, we develop a novel method for identifying economically-related peer firms and for measuring their relative importance. Our results show that firms appearing in chronologically adjacent... View Details
Keywords: Peer Firm; EDGAR Search Traffic; Revealed Preference; Co-search; Industry Classification; Analytics and Data Science; Internet and the Web; Mathematical Methods; Corporate Finance
Lee, Charles M.C., Paul Ma, and Charles C.Y. Wang. "Search-Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches." Harvard Business School Working Paper, No. 13-048, November 2012. (Revised September 2013, March 2014, June 2014, July 2014.)
- 2025
- Working Paper
Home Sweet Home: How Much Do Employees Value Remote Work?
By: Zoë B. Cullen, Bobak Pakzad-Hurson and Ricardo Perez-Truglia
We estimate the value employees place on remote work using revealed preferences in a high-stakes, real-world context, focusing on U.S. tech workers. On average, employees are willing to accept a 25% pay cut for partly or fully remote roles. Our estimates are three to... View Details
Cullen, Zoë B., Bobak Pakzad-Hurson, and Ricardo Perez-Truglia. "Home Sweet Home: How Much Do Employees Value Remote Work?" NBER Working Paper Series, No. 33383, January 2025.
- Web
Business Economics - Doctoral
lens of business. Jointly administered by HBS and the Department of Economics in the Faculty of Arts and Sciences, the program combines theoretical analysis with in-depth, interdisciplinary research rooted in real-world applications.... View Details
- 29 Apr 2014
- First Look
First Look: April 29
http://www.hbs.edu/faculty/Publication%20Files/bgjs13_84709dcc-425f-4fe2-8600-0f8cbb50be16.pdf August 2013 The Palgrave Encyclopedia of Strategic Management The Case Method By: Bower, Joseph L. Abstract—The case View Details
Keywords: Sean Silverthorne
- Web
Program Requirements - Doctoral
Theory II Operations Track requirements (Modeling Emphasis and Empirical Emphasis) : One semester course on economic theory and one operations management theory: Theory of Operations Management Microeconomic Theory II Research View Details
- August 2019
- Article
When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation
By: Yicheng Song, Nachiketa Sahoo and Elie Ofek
Sometimes we desire change, a break from the same or an opportunity to fulfill different aspects of our needs. Noting that consumers seek variety, several approaches have been developed to diversify items recommended by personalized recommender systems. However,... View Details
Keywords: Recommender Systems; Personalization; Recommendation Diversity; Variety Seeking; Collaborative Filtering; Consumer Utility Models; Digital Media; Clickstream Analysis; Learning-to-rank; Consumer Behavior; Media; Customization and Personalization; Strategy; Mathematical Methods
Song, Yicheng, Nachiketa Sahoo, and Elie Ofek. "When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation." Management Science 65, no. 8 (August 2019): 3737–3757.
- Research Summary
Overview
By: Ayelet Israeli
Professor Israeli utilizes econometric methods and field experiments to study data driven decision making in marketing context. Her research focuses on data-driven marketing, with an emphasis on how businesses can leverage their own data, customer data, and market data... View Details
- January 2009
- Article
Spatial Diversity in Invention: Evidence from the Early R&D Labs
By: Tom Nicholas
This article uses historical data on inventor and firm R&D lab locations to examine the technological and geographic structure of corporate knowledge capital accumulation during a formative period in the organization of US innovation. Despite the localization of... View Details
Keywords: Factories, Labs, and Plants; Geographic Location; Innovation and Invention; Patents; Knowledge Acquisition; Research and Development; United States
Nicholas, Tom. "Spatial Diversity in Invention: Evidence from the Early R&D Labs." Journal of Economic Geography 9, no. 1 (January 2009).
- 30 Oct 2012
- First Look
First Look: October 30
note describes the Congruence Model, a method by which an organization can assess whether its building blocks (critical tasks, formal organizational arrangements, people, and culture) are aligned (congruent) with its strategy. The model... View Details
Keywords: Sean Silverthorne
- June 2011 (Revised January 2013)
- Case
Oddo Securities―ESG Integration
By: Paul M. Healy
The case describes the process of integrating environmental, social, and governance issues into valuation models and research analyst recommendations. View Details
Keywords: Financial Strategy; Mathematical Methods; Integration; Valuation; Environmental Sustainability; Social Issues; Governance Controls; Investment
Serafeim, George, Paul M. Healy, and Aldo Sesia. "Oddo Securities―ESG Integration." Harvard Business School Case 111-085, June 2011. (Revised January 2013.)
- 2023
- Working Paper
Causal Interpretation of Structural IV Estimands
By: Isaiah Andrews, Nano Barahona, Matthew Gentzkow, Ashesh Rambachan and Jesse M. Shapiro
We study the causal interpretation of instrumental variables (IV) estimands of nonlinear, multivariate structural models with respect to rich forms of model misspecification. We focus on guaranteeing that the researcher's estimator is sharp zero consistent, meaning... View Details
Keywords: Mathematical Methods
Andrews, Isaiah, Nano Barahona, Matthew Gentzkow, Ashesh Rambachan, and Jesse M. Shapiro. "Causal Interpretation of Structural IV Estimands." NBER Working Paper Series, No. 31799, October 2023.
- 21 May 2013
- First Look
First Look: May 21
methods and to make decisions on quantitative analysis. This book offers a variety of practical tools and examples to improve a manager's understanding of business analytics, and to enhance their thinking and decision processes.... View Details
Keywords: Sean Silverthorne
- Research Summary
The new property: computational property, intellectual property, and cyberspace
The objective of this project is to design ownership regimes for property located in cyberspace, such as websites, links for e-travel, applets that run on distant processors, and other related computational species. The driving assumption of the project is that the... View Details
- 2023
- Article
Dynamic HTA for Digital Health Solutions: Opportunities and Challenges for Patient-Centered Evaluation
By: Jan B. Brönneke, Annika Herr, Simon Reif and Ariel D. Stern
Germany’s 2019 Digital Healthcare Act (Digitale-Versorgung-Gesetz, or DVG) created a number of opportunities for the digital transformation of the health care delivery system. Key among these was the creation of a reimbursement pathway for patient-centered digital... View Details
Keywords: Digital Transformation; Applications and Software; Product Development; Insurance; Policy; Health Industry; Germany
Brönneke, Jan B., Annika Herr, Simon Reif, and Ariel D. Stern. "Dynamic HTA for Digital Health Solutions: Opportunities and Challenges for Patient-Centered Evaluation." International Journal of Technology Assessment in Health Care 39, no. 1 (2023).
- 2011
- Article
A Choice Prediction Competition for Social Preferences in Simple Extensive Form Games: An Introduction
By: Eyal Ert, Ido Erev and Alvin E. Roth
Two independent, but related, choice prediction competitions are organized that focus on behavior in simple two-person extensive form games: one focuses on predicting the choices of the first mover and the other on predicting the choices of the second mover. The... View Details
Keywords: Forecasting and Prediction; Behavior; Decision Choices and Conditions; Competition; Motivation and Incentives; Game Theory; Fairness
Ert, Eyal, Ido Erev, and Alvin E. Roth. "A Choice Prediction Competition for Social Preferences in Simple Extensive Form Games: An Introduction." Special Issue on Predicting Behavior in Games. Games 2, no. 3 (September 2011): 257–276.