Filter Results:
(1,093)
Show Results For
- All HBS Web
(1,093)
- People (1)
- News (169)
- Research (616)
- Events (17)
- Multimedia (5)
- Faculty Publications (371)
Show Results For
- All HBS Web
(1,093)
- People (1)
- News (169)
- Research (616)
- Events (17)
- Multimedia (5)
- Faculty Publications (371)
- 11 Sep 2017
- Research & Ideas
Why Employers Favor Men
gender divide, so they used online experiments to probe two types of gender discrimination: Statistical discrimination, which is rooted in beliefs about average gender differences in abilities or skills. Taste-based discrimination, which... View Details
Keywords: by Dina Gerdeman
- 08 Sep 2010
- First Look
First Look: September 8, 2010
Lipsey, Lee G. Branstetter, C. Fritz Foley, James Harrigan, J. Bradford Jensen, Lori Kletzer, Catherine Mann, Peter K. Schott, and Greg C. Wright Abstract This report, prepared for the Committee on Economic Statistics of the American... View Details
Keywords: Sean Silverthorne
- August 2021
- Article
Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders
By: Tarun Khanna, Karim R. Lakhani, Shubhangi Bhadada, Nabil Khan, Saba Kohli Davé, Rasim Alam and Meena Hewett
This paper examines the role that the two lead authors’ personal connections played in the research methodology and data collection for the Partition Stories Project—a mixed-methods approach to revisiting the much-studied historical trauma of the Partition of British... View Details
Keywords: Mixed Methods; Insider-outsiders; Myth Of Informed Objectivity; Hybrid Research; Oral Narratives; Research; Analysis; India
Khanna, Tarun, Karim R. Lakhani, Shubhangi Bhadada, Nabil Khan, Saba Kohli Davé, Rasim Alam, and Meena Hewett. "Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders." Academy of Management Perspectives 35, no. 3 (August 2021): 384–399.
- 2017
- Working Paper
Salience through Information Technology: The Effect of Balance Availability on the Smoothing of SNAP Benefits
By: Andrew Hillis
Recipients of the Supplemental Nutrition Assistance Program (SNAP) run out of most benefits before halfway through a benefit deposit cycle. I study the introduction of a mobile software application, Fresh EBT, that enables beneficiaries to check their available balance... View Details
Hillis, Andrew. "Salience through Information Technology: The Effect of Balance Availability on the Smoothing of SNAP Benefits." Harvard Business School Working Paper, No. 18-038, October 2017.
- 2014
- Teaching Note
Fine Harvest Restaurant Group
By: Clara X. Chen, Kenneth A. Merchant, Tatiana Sandino and Wim Van der Stede
The Fine Harvest Restaurant Group cases A and B examine a company's design of a new system to evaluate the performance (and determine the bonuses) for its restaurant managers. Fine Harvest had traditionally evaluated restaurant managers based on store margins and had... View Details
- Web
Program Requirements - Doctoral
Methods II (Economics 2115) Advanced Applied Econometrics (Economics 2144) Industrial Organization (Economics 2610) Statistical Methods for Evaluating Causal Effects (Econ 1127) Advanced Quantitative Methods II (KSG API 210i) Machine... View Details
- 2007
- Article
Pharmacovigilance and the Missing Denominator: The Changing Context of Pharmaceutical Risk Mitigation
By: Arthur A. Daemmrich
In the wake of Vioxx, Avandia, and other recent prominent cases of drugs found to cause side effects after marketing, the safety of pharmaceuticals has come to the forefront of American public policy. Press attention, congressional investigations, and legislative... View Details
Keywords: Brands and Branding; Policy; Risk Management; Government Legislation; Risk and Uncertainty; Goals and Objectives; Customers; Pharmaceutical Industry; Health Industry; United States
Daemmrich, Arthur A. "Pharmacovigilance and the Missing Denominator: The Changing Context of Pharmaceutical Risk Mitigation." Pharmacy in History 49, no. 2 (2007): 61–75.
Fortune Tellers
The period leading up to the Great Depression witnessed the rise of economic forecasters, pioneers who sought to use the tools of science to predict the future, with the aim of profiting from their forecasts. This book chronicles the lives and careers of the men who... View Details
- Web
Placement - Doctoral
Emotion-sourced Variation in Service Operations Advisors: Ryan W. Buell , Frances X. Frei , and Alison Wood Brooks 2019 Ohchan Kwon Technology & Operations Management, 2019 Placement: Hong Kong University of Science and Technology (HKUST), Department of Information... View Details
- September 2013
- Article
Testimonials Do Not Convert Patients from Brand to Generic Medication
By: John Beshears, James J. Choi, David Laibson, Brigitte C. Madrian and Gwendolyn Reynolds
Objectives: To assess whether the addition of a peer testimonial to an informational mailing increases conversion rates from brand name prescription medications to lower-cost therapeutic equivalents, and whether the testimonial's efficacy increases when... View Details
Keywords: Testimonial; Peer Information; Social Proximity; Communication; Generic Medication; Familiarity; Marketing Communications; Decision Choices and Conditions; Identity; Health Care and Treatment; Marketing Reference Programs; Power and Influence; Brands and Branding; Health Industry
Beshears, John, James J. Choi, David Laibson, Brigitte C. Madrian, and Gwendolyn Reynolds. "Testimonials Do Not Convert Patients from Brand to Generic Medication." American Journal of Managed Care 19, no. 9 (September 2013): e314–e316.
- 2023
- Working Paper
Efficient Discovery of Heterogeneous Quantile Treatment Effects in Randomized Experiments via Anomalous Pattern Detection
By: Edward McFowland III, Sriram Somanchi and Daniel B. Neill
In the recent literature on estimating heterogeneous treatment effects, each proposed method makes its own set of restrictive assumptions about the intervention’s effects and which subpopulations to explicitly estimate. Moreover, the majority of the literature provides... View Details
Keywords: Causal Inference; Program Evaluation; Algorithms; Distributional Average Treatment Effect; Treatment Effect Subset Scan; Heterogeneous Treatment Effects
McFowland III, Edward, Sriram Somanchi, and Daniel B. Neill. "Efficient Discovery of Heterogeneous Quantile Treatment Effects in Randomized Experiments via Anomalous Pattern Detection." Working Paper, 2023.
- 2010
- Chapter
From Visible Harm to Relative Risk: Centralization and Fragmentation of Pharmacovigilance
By: Arthur A. Daemmrich
Adverse drug reactions pose distinct but potentially catastrophic risks to patients, physicians, pharmaceutical firms, and regulators. Between the early 1960s and the present, national systems were built to collect, standardize, and respond to individual reports of... View Details
Keywords: Governing Rules, Regulations, and Reforms; Health Testing and Trials; Business and Government Relations; Risk and Uncertainty; Safety; Pharmaceutical Industry; United States
Daemmrich, Arthur A. "From Visible Harm to Relative Risk: Centralization and Fragmentation of Pharmacovigilance." Chap. 13 in The Fragmentation of U.S. Health Care: Causes and Solutions, edited by Einer Elhauge, 301–322. Oxford: Oxford University Press, 2010.
- 28 Oct 2011
- Working Paper Summaries
Fairness, Efficiency, and Flexibility in Organ Allocation for Kidney Transplantation
- 2023
- Article
MoPe: Model Perturbation-based Privacy Attacks on Language Models
By: Marvin Li, Jason Wang, Jeffrey Wang and Seth Neel
Recent work has shown that Large Language Models (LLMs) can unintentionally leak sensitive information present in their training data. In this paper, we present Model Perturbations (MoPe), a new method to identify with high confidence if a given text is in the training... View Details
Li, Marvin, Jason Wang, Jeffrey Wang, and Seth Neel. "MoPe: Model Perturbation-based Privacy Attacks on Language Models." Proceedings of the Conference on Empirical Methods in Natural Language Processing (2023): 13647–13660.
- 2013
- Book
Fortune Tellers: The Story of America's First Economic Forecasters
The period leading up to the Great Depression witnessed the rise of the economic forecasters, pioneers who sought to use the tools of science to predict the future, with the aim of profiting from their forecasts. This book chronicles the lives and careers of the men... View Details
Keywords: Forecasting And Prediction; Economic History; Economics; History; Risk and Uncertainty; United States
Friedman, Walter A. Fortune Tellers: The Story of America's First Economic Forecasters. Princeton University Press, 2013.
- 03 Oct 2023
- What Do You Think?
Do Leaders Learn More From Success or Failure?
associated with outstanding long-term performance. We asked hundreds of senior executives to name their competitor (not their own organization) with the strongest culture. We then compared those results with long-term (10-year) performance. The View Details
Keywords: by James Heskett
- 2018
- Article
Insight into Gender Differences in STEM: Evidence from Peer Reviews in an Engineering Class
By: Jacqueline N. Lane, Bruce Ankenman and Seyed Iravani
As the service industry moves toward self-service, peer feedback serves a critical role in this shift for educational services. Peer feedback is a process by which students provide feedback to each other. One of its major benefits is that it enables students to become... View Details
Keywords: Peer Review; Peer Feedback; STEM Education; Anonymity; Education; Gender; Education Industry
Lane, Jacqueline N., Bruce Ankenman, and Seyed Iravani. "Insight into Gender Differences in STEM: Evidence from Peer Reviews in an Engineering Class." Service Science 10, no. 4 (2018): 442–456.
- October 2017 (Revised April 2018)
- Case
Improving Worker Safety in the Era of Machine Learning (A)
By: Michael W. Toffel, Dan Levy, Jose Ramon Morales Arilla and Matthew S. Johnson
Managers make predictions all the time: How fast will my markets grow? How much inventory do I need? How intensively should I monitor my suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I... View Details
Keywords: Machine Learning; Policy Implementation; Empirical Research; Inspection; Occupational Safety; Occupational Health; Regulation; Analysis; Forecasting and Prediction; Policy; Operations; Supply Chain Management; Safety; Manufacturing Industry; Construction Industry; United States
Toffel, Michael W., Dan Levy, Jose Ramon Morales Arilla, and Matthew S. Johnson. "Improving Worker Safety in the Era of Machine Learning (A)." Harvard Business School Case 618-019, October 2017. (Revised April 2018.)