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  • All HBS Web  (1,111)
    • People  (1)
    • News  (177)
    • Research  (624)
    • Events  (18)
    • Multimedia  (5)
  • Faculty Publications  (379)
← Page 20 of 1,111 Results →
  • 12 Mar 2019
  • HBS Seminar

Giorgos Zervas, Boston University

    Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development

    Predictive model development is understudied despite its importance to modern businesses. Although prior discussions highlight advances in methods (along the dimensions of data, computing power, and algorithms) as the primary driver of model quality, the value of... View Details
    • Web

    Business & Environment

    squares. In settings without attrition, this approach obtains lower statistical power than self-reported yields; in settings with differential attrition, it may substantially increase power. We include a “cookbook'' and code that should... View Details
    • 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
    • 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
    • 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

      Michael Lingzhi Li

      Keywords: health care; insurance industry
      • 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
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      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
      Keywords: Mobile Technology; Welfare or Wellbeing; Technology Adoption; Behavior
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      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
      Keywords: Incentive Systems; Relative Performance Evaluation; Restaurant Industry; Accounting; Economics; Human Resources; Measurement and Metrics; Labor; Performance; Salesforce Management; Retail Industry; North and Central America
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      Chen, Clara X., Kenneth A. Merchant, Tatiana Sandino, and Wim Van der Stede. "Fine Harvest Restaurant Group." University of Southern California, Marshall School of Business Teaching Note, 2014.
      • 2025
      • Working Paper

      Methane Abatement Costs in the Oil and Gas Industry: Survey and Synthesis

      By: Joseph E. Aldy, Forest Reinhardt and Robert N. Stavins
      There is growing recognition of the relative importance of anthropogenic emissions of methane as a contributor to global climate change. An important source of such emissions in some countries, including the United States, is the oil and gas (O&G) sector. This points... View Details
      Keywords: Emission Reduction; Environmental Sustainability; Climate Change; Pollutants; Energy Industry
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      Aldy, Joseph E., Forest Reinhardt, and Robert N. Stavins. "Methane Abatement Costs in the Oil and Gas Industry: Survey and Synthesis." NBER Working Paper Series, No. 33564, March 2025.
      • 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
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      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
        • 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
        Citation
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        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
        Citation
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        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.
        • 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
        • 23 Sep 2013
        • Working Paper Summaries

        Applying Random Coefficient Models to Strategy Research: Testing for Firm Heterogeneity, Predicting Firm-Specific Coefficients, and Estimating Strategy Trade-Offs

        Keywords: by Juan Alcácer, Wilbur Chung, Ashton Hawk & Gonçalo Pacheco-de-Almeida
        • 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
        Citation
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        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.
        • 28 Oct 2011
        • Working Paper Summaries

        Fairness, Efficiency, and Flexibility in Organ Allocation for Kidney Transplantation

        Keywords: by Dimitris Bertsimas, Vivek F. Farias & Nikolaos Trichakis; Health
        • 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
        Keywords: Large Language Model; AI and Machine Learning; Cybersecurity
        Citation
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        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.
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