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- Faculty Publications (140)
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- All HBS Web
(716)
- Faculty Publications (140)
- January 2024
- Article
Population Interference in Panel Experiments
By: Kevin Wu Han, Guillaume Basse and Iavor Bojinov
The phenomenon of population interference, where a treatment assigned to one experimental unit affects another experimental unit’s outcome, has received considerable attention in standard randomized experiments. The complications produced by population interference in... View Details
Han, Kevin Wu, Guillaume Basse, and Iavor Bojinov. "Population Interference in Panel Experiments." Journal of Econometrics 238, no. 1 (January 2024).
- 2023
- Article
Balancing Risk and Reward: An Automated Phased Release Strategy
By: Yufan Li, Jialiang Mao and Iavor Bojinov
Phased releases are a common strategy in the technology industry for gradually releasing new products or updates through a sequence of A/B tests in which the number of treated units gradually grows until full deployment or deprecation. Performing phased releases in a... View Details
Li, Yufan, Jialiang Mao, and Iavor Bojinov. "Balancing Risk and Reward: An Automated Phased Release Strategy." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- 2023
- Article
Evidence from the First Shared Medical Appointments (SMAs) Randomised Controlled Trial in India: SMAs Increase the Satisfaction, Knowledge, and Medication Compliance of Patients with Glaucoma
By: Nazlı Sönmez, Kavitha Srinivasan, Rengaraj Venkatesh, Ryan W. Buell and Kamalini Ramdas
In Shared Medical Appointments (SMAs), patients with similar conditions meet the physician together and each receives one-on-one attention. SMAs can improve outcomes and physician productivity. Yet privacy concerns have stymied adoption. In physician-deprived nations,... View Details
Sönmez, Nazlı, Kavitha Srinivasan, Rengaraj Venkatesh, Ryan W. Buell, and Kamalini Ramdas. "Evidence from the First Shared Medical Appointments (SMAs) Randomised Controlled Trial in India: SMAs Increase the Satisfaction, Knowledge, and Medication Compliance of Patients with Glaucoma." e0001648. PLoS Global Public Health 3, no. 7 (2023).
- Summer 2023
- Article
Do Policies to Increase Access to Treatment for Opioid Use Disorder Work?
By: Eric Barrette, Leemore S. Dafny and Karen Shen
Even among commercially insured individuals, opioid use disorder is undertreated in the United States: nearly half receive no treatment within six months of a new diagnosis. Using a difference-in-differences specification exploiting the extension of insurance parity... View Details
Keywords: Opioid Treatment; Medication-assisted Treatment; Substance Use Disorder; Private Insurance; Insurance; Health Care and Treatment
Barrette, Eric, Leemore S. Dafny, and Karen Shen. "Do Policies to Increase Access to Treatment for Opioid Use Disorder Work?" American Journal of Health Economics 9, no. 3 (Summer 2023): 297–330.
- 3 Jun 2023
- Talk
Health Care Innovation Opportunities Created by COVID-19 and How to Make Them Happen
The crush of patients created by COVID enabled the creation of sites for care outside the traditional hospital, such as retail pharmacies, ambulatory surgery centers, urgent care centers, telemedicine, and wireless sensors. Public policy mirrored these changes by... View Details
Keywords: Policy; Health Pandemics; Health Care and Treatment; Innovation and Invention; Health Industry; Insurance Industry
Herzlinger, Regina E. "Health Care Innovation Opportunities Created by COVID-19 and How to Make Them Happen." Harvard Business School Alumni Reunion, Boston, MA, June 3, 2023. (Link to cases described in this talk.)
- April 5, 2023
- Article
We Need an Operation Warp Speed for Long COVID
By: Esther K. Choo and Scott Duke Kominers
With millions of people affected and at least $1 trillion of economic value at stake, long COVID is our next national health emergency. View Details
Keywords: COVID; COVID-19; COVID-19 Pandemic; Scientific Research; Policy; Health Policy; Innovation; Science; Public Finance; Public Health; Health Disorders; Health Care and Treatment; Human Capital
Choo, Esther K., and Scott Duke Kominers. "We Need an Operation Warp Speed for Long COVID." Scientific American (website) (April 5, 2023).
- February 2023
- Article
A Different Framework to Achieve Universal Coverage in the U.S.
By: Katherine Baicker, Amitabh Chandra and Mark Shepard
This JAMA Forum discusses alternative ways to achieve universal coverage in the US such as administrative simplification in the Affordable Care Act plans to increase enrollment, having a basic policy that would be available to everyone, and options for supplemental... View Details
Baicker, Katherine, Amitabh Chandra, and Mark Shepard. "A Different Framework to Achieve Universal Coverage in the U.S." e230187. JAMA Health Forum 4, no. 2 (February 2023).
- 2023
- Working Paper
Life After Death: A Field Experiment with Small Businesses on Information Frictions, Stigma, and Bankruptcy
By: Shai Benjamin Bernstein, Emanuele Colonnelli, Mitchell Hoffman and Benjamin Iverson
In a randomized control trial (RCT) with U.S. small businesses, we document that a large share of firms are not well-informed about bankruptcy. Many assume that bankruptcy necessarily entails the death of a business and do not know about Chapter 11 bankruptcy, where... View Details
Bernstein, Shai Benjamin, Emanuele Colonnelli, Mitchell Hoffman, and Benjamin Iverson. "Life After Death: A Field Experiment with Small Businesses on Information Frictions, Stigma, and Bankruptcy." NBER Working Paper Series, No. 30933, February 2023.
- 2023
- Working Paper
Leadership and the Value of Persistence
By: James J. Anton, Alan Jaske and Dennis Yao
Consider a leader’s decision whether to persist with an unsuccessful R&D project
or to terminate the project in favor of a new project with an uncertain value. How
does that decision affect the effort exerted by the manager assigned to the project? To
study this... View Details
- 2023
- Working Paper
Achieving Universal Health Insurance Coverage in the United States: Addressing Market Failures or Providing a Social Floor?
By: Katherine Baicker, Amitabh Chandra and Mark Shepard
The United States spends substantially more on health care than most developed countries, yet leaves a greater share of the population uninsured. We suggest that incremental insurance expansions focused on addressing market failures will propagate inefficiencies and... View Details
Baicker, Katherine, Amitabh Chandra, and Mark Shepard. "Achieving Universal Health Insurance Coverage in the United States: Addressing Market Failures or Providing a Social Floor?" NBER Working Paper Series, No. 30854, January 2023.
- 2023
- Article
Experimental Evaluation of Individualized Treatment Rules
By: Kosuke Imai and Michael Lingzhi Li
The increasing availability of individual-level data has led to numerous applications of individualized (or personalized) treatment rules (ITRs). Policy makers often wish to empirically evaluate ITRs and compare their relative performance before implementing them in a... View Details
Keywords: Causal Inference; Heterogeneous Treatment Effects; Precision Medicine; Uplift Modeling; Analytics and Data Science; AI and Machine Learning
Imai, Kosuke, and Michael Lingzhi Li. "Experimental Evaluation of Individualized Treatment Rules." Journal of the American Statistical Association 118, no. 541 (2023): 242–256.
- 2023
- Working Paper
State Employment as a Strategy of Autocratic Control in China
By: Jaya Y. Wen
This paper presents evidence that autocrats use state-owned firms to strategically pacify social unrest via employment provision, a role that may contribute to their favorable treatment and persistence across settings. I use variation in a regional conflict between... View Details
Wen, Jaya Y. "State Employment as a Strategy of Autocratic Control in China." Working Paper, January 2023.
- August, 2022
- Article
Billing and Insurance-Related Administrative Costs: A Cross-National Analysis
By: Barak D. Richman, Robert S. Kaplan, Japees Kohli, Dennis Purcell, Mahek Shah, Igna Bonfrer, Brian Golden, Rosemary Hannam, Will Mitchell, Daniel Cehic, Garry Crispin and Kevin A. Schulman
Billing and insurance-related costs are a significant source of wasteful health care spending in Organization for Economic Cooperation and Development nations, but these administrative burdens vary across national systems. We executed a microlevel accounting of these... View Details
Richman, Barak D., Robert S. Kaplan, Japees Kohli, Dennis Purcell, Mahek Shah, Igna Bonfrer, Brian Golden, Rosemary Hannam, Will Mitchell, Daniel Cehic, Garry Crispin, and Kevin A. Schulman. "Billing and Insurance-Related Administrative Costs: A Cross-National Analysis." Health Affairs 41, no. 8 (August, 2022): 1098–1106.
- July 2022 (Revised February 2024)
- Teaching Note
The DivaCup: Navigating Distribution and Growth
By: Ayelet Israeli
Teaching Note for HBS Case No. 519-055. When the mother-daughter founders of DivaCup set out with a mission to disrupt the menstrual care industry with an innovative product form, they initially struggled to gain legitimacy and convince retailers to carry their unique... View Details
Keywords: Female; Female Ceo; Female Entrepreneur; Female Protagonist; Health & Wellness; Healthcare; Price Policies; Minimum Advertised Price; Differentiation; Positioning; Growth; Health; Health Care and Treatment; Price; Disruption; Distribution; Distribution Channels; Competitive Strategy; Competition; Growth Management; Mission and Purpose; Product Development; Product Marketing; Product Launch; Product Positioning; Advertising; Business Startups; Internet and the Web; Entrepreneurship; Social Entrepreneurship; Social Issues; Social Enterprise; Retail Industry; Medical Devices and Supplies Industry; Manufacturing Industry; Health Industry; Green Technology Industry; Education Industry; Distribution Industry; Consumer Products Industry; Canada; United States; United Kingdom
- Article
How Much Should We Trust Staggered Difference-In-Differences Estimates?
By: Andrew C. Baker, David F. Larcker and Charles C.Y. Wang
We explain when and how staggered difference-in-differences regression estimators, commonly applied to assess the impact of policy changes, are biased. These biases are likely to be relevant for a large portion of research settings in finance, accounting, and law that... View Details
Keywords: Difference In Differences; Staggered Difference-in-differences Designs; Generalized Difference-in-differences; Dynamic Treatment Effects; Mathematical Methods
Baker, Andrew C., David F. Larcker, and Charles C.Y. Wang. "How Much Should We Trust Staggered Difference-In-Differences Estimates?" Journal of Financial Economics 144, no. 2 (May 2022): 370–395. (Editor's Choice, May 2022; Jensen Prize, First Place, June 2023.)
- May 2022
- Article
Variance Analysis: New Insights from Health Care Applications
By: Robert S. Kaplan and Susanna Gallani
We use a health care application to illustrate how variance analysis can be used to benchmark costs across similar service delivery sites. Variances for personnel costs, typically the largest cost component in service organizations, are calculated for price, quantity,... View Details
Keywords: Variance Analysis; Benchmarking; Time-Driven Activity-Based Costing; Health Care; Activity Based Costing and Management; Health Care and Treatment; Service Delivery; Service Industry
Kaplan, Robert S., and Susanna Gallani. "Variance Analysis: New Insights from Health Care Applications." Issues in Accounting Education 37, no. 2 (May 2022): 27–36.
- 2022
- Working Paper
A Linear Panel Model with Heterogeneous Coefficients and Variation in Exposure
By: Jesse M. Shapiro and Liyang Sun
Linear panel models featuring unit and time fixed effects appear in many areas of empirical economics. An active literature studies the interpretation of the ordinary least squares estimator of the model, commonly called the two-way fixed effects (TWFE) estimator, in... View Details
Shapiro, Jesse M., and Liyang Sun. "A Linear Panel Model with Heterogeneous Coefficients and Variation in Exposure." NBER Working Paper Series, No. 29976, April 2022.
- April–June 2022
- Other Article
Commentary on 'Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters'
There has been a substantial discussion in various methodological and applied literatures around causal inference; especially in the use of machine learning and statistical models to understand heterogeneity in treatment effects and to make optimal decision... View Details
Keywords: Causal Inference; Treatment Effect Estimation; Treatment Assignment Policy; Human-in-the-loop; Decision Making; Fairness
McFowland III, Edward. "Commentary on 'Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters'." INFORMS Journal on Data Science 1, no. 1 (April–June 2022): 21–22.
- March 31, 2022
- Article
Two Approaches to Capping Health Care Prices
By: Michael E. Chernew, Maximilian J. Pany and Leemore S. Dafny
High health care prices for the privately-insured contribute to high premiums, which put downward pressure on wages, and induce employers to reduce benefit generosity and charge employees more for coverage. As the average annual premium for family coverage currently... View Details
Chernew, Michael E., Maximilian J. Pany, and Leemore S. Dafny. "Two Approaches to Capping Health Care Prices." Health Affairs Forefront (March 31, 2022).
- March 2022
- Article
Estimating the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models
By: Fiammetta Menchetti and Iavor Bojinov
Researchers regularly use synthetic control methods for estimating causal effects when a sub-set of units receive a single persistent treatment, and the rest are unaffected by the change. In many applications, however, units not assigned to treatment are nevertheless... View Details
Keywords: Causal Inference; Partial Interference; Synthetic Controls; Bayesian Structural Time Series; Mathematical Methods
Menchetti, Fiammetta, and Iavor Bojinov. "Estimating the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models." Annals of Applied Statistics 16, no. 1 (March 2022): 414–435.