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(931)
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Show Results For
- All HBS Web
(931)
- People (2)
- News (121)
- Research (732)
- Events (14)
- Multimedia (1)
- Faculty Publications (406)
- 2025
- Article
Difference-in-Differences Subset Scan
By: Will Stamey, Sriram Somanchi and Edward McFowland III
Difference-in-differences (DiD) has been extensively applied in the literature to elicit the average causal effect of an intervention or policy. Though researchers explore heterogeneity in the treatment effect with respect to time or some observed covariate (usually... View Details
Stamey, Will, Sriram Somanchi, and Edward McFowland III. "Difference-in-Differences Subset Scan." Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining 31st (2025): 2656–2667.
- 2025
- Working Paper
Money, Time, and Grant Design
By: Kyle Myers and Wei Yang Tham
We conduct survey experiments to test how the design of scientific grants—
the money and time awarded—can be used to manage researchers. On average,
researchers are relatively unwilling to trade off money for time when choosing
among grants. However, there is... View Details
Myers, Kyle, and Wei Yang Tham. "Money, Time, and Grant Design." Harvard Business School Working Paper, No. 24-037, December 2023. (Revised June 2025.)
- 2023
- Article
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators
By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in... View Details
Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine Learning Research 24, no. 133 (2023): 1–57.
- 2023
- Working Paper
Distributionally Robust Causal Inference with Observational Data
By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li
We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first... View Details
Bertsimas, Dimitris, Kosuke Imai, and Michael Lingzhi Li. "Distributionally Robust Causal Inference with Observational Data." Working Paper, February 2023.
- March 2019
- Article
A Structural Analysis of the Role of Superstars in Crowdsourcing Contests
By: Shunyuan Zhang, Param Singh and Anindya Ghose
We investigate the long-term impact of competing against superstars in crowdsourcing contests. Using a unique 50-month longitudinal panel data set on 1677 software design crowdsourcing contests, we illustrate a learning effect where participants are able to improve... View Details
Keywords: Crowdsourcing Contests; Superstar Effect; Bayesian Learning; Utility; Economics Of Information System; Dynamic Structural Model; Dynamic Programming; Markov Chain; Monte Carlo; Learning; Competition; Performance Improvement
Zhang, Shunyuan, Param Singh, and Anindya Ghose. "A Structural Analysis of the Role of Superstars in Crowdsourcing Contests." Information Systems Research 30, no. 1 (March 2019): 15–33.
- June 2023
- Simulation
Artea Dashboard and Targeting Policy Evaluation
By: Ayelet Israeli and Eva Ascarza
Companies deploy A/B experiments to gain valuable insights about their customers in order to answer strategic business problems. In marketing, A/B tests are often used to evaluate marketing interventions intended to generate incremental outcomes for the firm. The Artea... View Details
Keywords: Algorithm Bias; Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; United States
- January 2019
- Article
Increasing the Electoral Participation of Immigrants: Experimental Evidence from France
By: Vincent Pons and Guillaume Liegey
Improving the political participation of immigrants could advance their interests and foster their integration into receiving countries. In this study, 23,800 citizens were randomly assigned to receive visits from political activists during the lead-up to the 2010... View Details
Pons, Vincent, and Guillaume Liegey. "Increasing the Electoral Participation of Immigrants: Experimental Evidence from France." Economic Journal 129, no. 617 (January 2019): 481–508. (Also Harvard Business School Working Paper, No. 16-094, February 2016.)
- 2019
- Chapter
Characterizing the Drug Development Pipeline for Precision Medicines
By: Amitabh Chandra, Craig Garthwaite and Ariel Dora Stern
BOOK ABSTRACT: Personalized and precision medicine (PPM)—the targeting of therapies according to an individual’s genetic, environmental, or lifestyle characteristics—is becoming an increasingly important approach in health care treatment and prevention. The advancement... View Details
Chandra, Amitabh, Craig Garthwaite, and Ariel Dora Stern. "Characterizing the Drug Development Pipeline for Precision Medicines." Chap. 5 in Economic Dimensions of Personalized and Precision Medicine, edited by Ernest R. Berndt, Dana P. Goldman, and John W. Rowe, 115–158. University of Chicago Press, 2019.
- September–October 2020
- Article
The Air War Versus the Ground Game: An Analysis of Multi-Channel Marketing in U.S. Presidential Elections
By: Lingling Zhang and Doug J. Chung
This study jointly examines the effects of television advertising and field operations in U.S. presidential elections, with the former referred to as the “air war” and the latter as the “ground game.” Specifically, the study focuses on how different campaign... View Details
Keywords: Multi-channel Marketing; Ground Campaigning; Political Campaigns; Discrete-choice Model; Instrumental Variables; Political Elections; Marketing Channels; Advertising; United States
Zhang, Lingling, and Doug J. Chung. "The Air War Versus the Ground Game: An Analysis of Multi-Channel Marketing in U.S. Presidential Elections." Marketing Science 39, no. 5 (September–October 2020): 872–892.
- 2023
- Working Paper
When Should Public Programs Be Privately Administered? Theory and Evidence from the Paycheck Protection Program
By: Alexander Bartik, Zoë B. Cullen, Edward L. Glaeser, Michael Luca, Christopher Stanton and Adi Sunderam
What happens when public resources are allocated by private companies whose objectives may be
imperfectly aligned with policy goals? We study this question in the context of the Paycheck
Protection Program (PPP), which relied on private banks to disburse aid to small... View Details
Keywords: Paycheck Protection Program; Targeting; Impact; Entrepreneurship; Health Pandemics; Small Business; Financing and Loans; Outcome or Result; United States
Bartik, Alexander, Zoë B. Cullen, Edward L. Glaeser, Michael Luca, Christopher Stanton, and Adi Sunderam. "When Should Public Programs Be Privately Administered? Theory and Evidence from the Paycheck Protection Program." Harvard Business School Working Paper, No. 21-021, August 2020. (Revised July 2023. Accepted at The Review of Economics and Statistics.)
- Forthcoming
- Article
When Should Public Programs Be Privately Administered? Theory and Evidence from the Paycheck Protection Program
By: Alexander W. Bartik, Zoë Cullen, Edward L. Glaeser, Michael Luca, Christopher Stanton and Adi Sunderam
What happens when public resources are allocated by private companies whose objectives may be
imperfectly aligned with policy goals? We study this question in the context of the Paycheck
Protection Program (PPP), which relied on private banks to disburse aid to small... View Details
Keywords: Paycheck Protection Program; Targeting; Impact; Entrepreneurship; Health Pandemics; Small Business; Financing and Loans; Outcome or Result; United States
Bartik, Alexander W., Zoë Cullen, Edward L. Glaeser, Michael Luca, Christopher Stanton, and Adi Sunderam. "When Should Public Programs Be Privately Administered? Theory and Evidence from the Paycheck Protection Program." Review of Economics and Statistics (forthcoming).
- 02 May 2016
- HBS Seminar
Chiara Farronato, Harvard Business School
The Air War Versus The Ground Game: An Analysis of Multi-Channel Marketing in U.S. Presidential Elections
This study jointly examines the effects of television advertising and field operations in U.S. presidential elections, with the former referred to as the “air war” and the latter as the “ground game.” Specifically, the study focuses on how different campaign... View Details
- Article
A Feasibility Study Using Time-driven Activity-based Costing as a Management Tool for Provider Cost Estimation: Lessons from the National TB Control Program in Zimbabwe in 2018
By: J. Chirenda, B. Nhlema Simwaka, C. Sandy, K. Bodnar, S. Corbin, P. Desai, T. Mapako, S. Shamu, C. Timire, E. Antonio, A. Makone, A. Birikorang, T. Mapuranga, M. Ngwenya, T. Masunda, M. Dube, E. Wandwalo, L. Morrison and R. S. Kaplan
Background: This study used process maps and time-driven activity-based costing to document TB service delivery processes. The analysis identified the resources required to sustain TB services in Zimbabwe, as well as several opportunities for more effective and... View Details
Keywords: Time-Driven Activity-Based Costing; Provider Cost; Health Care and Treatment; Cost Management; Activity Based Costing and Management; Zimbabwe
Chirenda, J., B. Nhlema Simwaka, C. Sandy, K. Bodnar, S. Corbin, P. Desai, T. Mapako, S. Shamu, C. Timire, E. Antonio, A. Makone, A. Birikorang, T. Mapuranga, M. Ngwenya, T. Masunda, M. Dube, E. Wandwalo, L. Morrison, and R. S. Kaplan. "A Feasibility Study Using Time-driven Activity-based Costing as a Management Tool for Provider Cost Estimation: Lessons from the National TB Control Program in Zimbabwe in 2018." BMC Health Services Research 21, no. 242 (2021).
Incentives versus Reciprocity: Insights from a Field Experiment
We conduct a field experiment in which we vary the sales force compensation scheme at an Asian enterprise that sells consumer durable goods. With variation generated by the experimental treatments, we model sales force performance to identify the effectiveness of... View Details
- October 2003 (Revised January 2005)
- Case
Shared Decision Making
By: Richard M.J. Bohmer, Karen Sepucha and Laura Feldman
The Foundation for Informed Medical Decision-Making has created an interactive videodisc system that provides patients with customized support regarding medical treatment or screening decisions when they face a choice between two equally effective courses of action.... View Details
Keywords: Decision Choices and Conditions; Borrowing and Debt; Health Care and Treatment; Innovation Strategy; Technological Innovation; Product Marketing; Distribution Channels; Production; Partners and Partnerships; Research and Development; Information Technology
Bohmer, Richard M.J., Karen Sepucha, and Laura Feldman. "Shared Decision Making." Harvard Business School Case 604-001, October 2003. (Revised January 2005.)
- May 2018
- Article
The Economics of Patient-Centered Care
By: Guy David, Philip Saynisch and Aaron Smith-McLallen
The Patient-Centered Medical Home (PCMH) is a widely-implemented model for improving primary care, emphasizing care coordination, information technology, and process improvements. However, its treatment as an undifferentiated intervention in policy evaluation obscures... View Details
Keywords: Primary Care; Accreditation; Patient-centered Medical Home; Health Care and Treatment; Economics
David, Guy, Philip Saynisch, and Aaron Smith-McLallen. "The Economics of Patient-Centered Care." Journal of Health Economics 59 (May 2018): 60–77.
Changing Behavior Beyond the Here and Now
In this chapter we explore the behavioral science of how interventions work over time. We first discuss how interventions can be effective and generate desired target behaviors, even when there is a temporal gap between the time the intervention is administered and... View Details
- 12 Dec 2022
- Research & Ideas
Buy-In from Black Patients Suffers When Drug Trials Don’t Include Them
prescribe these medicines for their Black patients rose by a “medically meaningful” one standard deviation. It was the kind of result that would be expected if physicians had been told that the drug’s reported effectiveness had increased... View Details