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Show Results For
- All HBS Web
(2,460)
- People (6)
- News (579)
- Research (1,755)
- Events (11)
- Multimedia (14)
- Faculty Publications (1,383)
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- Article
Criminal Recidivism after Prison and Electronic Monitoring
By: Rafael Di Tella and Ernesto Schargrodsky
We study criminal recidivism in Argentina by focusing on the re-arrest rates of two groups: individuals released from prison and individuals released from electronic monitoring. Detainees are randomly assigned to judges, and ideological differences across judges... View Details
Keywords: Crime; Prison; Recidivism; Behavior; Situation or Environment; Crime and Corruption; Argentina
Di Tella, Rafael, and Ernesto Schargrodsky. "Criminal Recidivism after Prison and Electronic Monitoring." Journal of Political Economy 121, no. 1 (February 2013): 28–73.
- March 2014 (Revised September 2014)
- Supplement
Cancer Treatment Centers of America® (B)
By: Regina E. Herzlinger and Natalie Kindred
This case, a follow-up to Cancer Treatment Centers of America (A), HBS No. 313-012, begins with the debate over New Hampshire's certificate-of-need (CON) law, which restricts hospital expansion. This debate ignited significant public criticism of Cancer Treatment... View Details
Keywords: Cancer; Cancer Treatment; Accountability; Outcomes; Outcomes Reporting; Outcomes Measurement; Survival; For-profit Hospitals; Health Care; Healthcare; Hospital; Certificate Of Need; Health Care and Treatment; Outcome or Result; Corporate Accountability; Policy; Health Industry; United States
Herzlinger, Regina E., and Natalie Kindred. "Cancer Treatment Centers of America® (B)." Harvard Business School Supplement 314-003, March 2014. (Revised September 2014.)
- Article
Treatment Of Opioid Use Disorder Among Commercially Insured U.S. Adults, 2008–17
By: Karen Shen, Eric Barrette and Leemore S. Dafny
There is abundant literature on efforts to reduce opioid prescriptions and misuse, but comparatively little on the treatment provided to people with opioid use disorder (OUD). Using claims data representing 12–15 million nonelderly adults covered through commercial... View Details
Keywords: Opioid Treatment; Medication-assisted Treatment; Substance Use Disorder; Private Insurance; Health Disorders; Health Care and Treatment; Insurance; United States
Shen, Karen, Eric Barrette, and Leemore S. Dafny. "Treatment Of Opioid Use Disorder Among Commercially Insured U.S. Adults, 2008–17." Health Affairs 39, no. 6 (June 2020): 993–1001.
- November 2012
- Article
The Variance of Non-Parametric Treatment Effect Estimators in the Presence of Clustering
By: Samuel G. Hanson and Adi Sunderam
Non-parametric estimators of treatment effects are often applied in settings where clustering may be important. We provide a general methodology for consistently estimating the variance of a large class of non-parametric estimators, including the simple matching... View Details
Keywords: Treatment Effects; Matching Estimators; Clustering; Applications and Software; Mathematical Methods
Hanson, Samuel G., and Adi Sunderam. "The Variance of Non-Parametric Treatment Effect Estimators in the Presence of Clustering." Review of Economics and Statistics 94, no. 4 (November 2012). (Stata and Matlab Code Here.)
- 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.
- May 2014
- Case
Health Care Accountability: Examples in Cancer Treatment
By: Regina E. Herzlinger and Natalie Kindred
This case is designed to support a discussion of the importance of outcomes evidence in empowering the public to make better health care decisions, the desired level of transparency and accountability for health care providers, and the issues with current measuring and... View Details
Keywords: Accountability; Health Care; Cancer; Cancer Treatment; Memorial Sloan Kettering Cancer Center; Cancer Treatment Centers Of America; Vantage Oncology; Radiology; Risk Adjustment; Treatment Outcomes; Health Care Outcomes; Prostate Cancer; Transparency; Health Care and Treatment; Risk Management; Outcome or Result; Health Industry; United States
- August 2012 (Revised August 2014)
- Case
Cancer Treatment Centers of America® (A)
By: Regina E. Herzlinger and Natalie Kindred
Cancer Treatment Centers of America (CTCA), a U.S. network of four privately owned oncology focused factory hospitals, was weighing options for growth. CTCA was entirely cancer focused and specialized in treating patients with complex and advanced-stage cancers, who... View Details
Keywords: Cancer; Cancer Treatment; Health Care; Healthcare; Accountability; Outcomes; Outcomes Measurement; Outcomes Reporting; Hub And Spoke Cancer Care; Hub And Spoke; Hub-and-spoke; Focused Factory; Mission and Purpose; Private Ownership; For-Profit Firms; Health Disorders; Medical Specialties; Policy; Business Model; Expansion; Decision Choices and Conditions; Advertising; Health Care and Treatment; Innovation and Invention; Health Industry; United States
Herzlinger, Regina E., and Natalie Kindred. "Cancer Treatment Centers of America® (A)." Harvard Business School Case 313-012, August 2012. (Revised August 2014.)
- December 2009 (Revised January 2024)
- Case
A Letter from Prison
By: Eugene Soltes
Stephen Richards, the former global head of sales at Computer Associates, Inc. (CA), is serving a seven-year prison sentence for financial fraud. In the case, Richards responds to a number of questions about managerial responsibility and the manipulation of financial... View Details
Soltes, Eugene. "A Letter from Prison." Harvard Business School Case 110-045, December 2009. (Revised January 2024.)
- 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.
- 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.
- 31 May 2023
- HBS Case
From Prison Cell to Nike’s C-Suite: The Journey of Larry Miller
View Video Editor's note: Watch the video in "full screen" mode for the best viewing experience. Before shaping one of the world’s largest sports brands, Nike executive Larry Miller spent years of his youth... View Details
- 26 Sep 2016
- News
Letters from Prison
- 2022
- Working Paper
Causal Inference During A Pandemic: Evidence on the Effectiveness of Nebulized Ibuprofen as an Unproven Treatment for COVID-19 in Argentina
By: Sebastian Calonico, Rafael Di Tella and Juan Cruz Lopez Del Valle
Many medical decisions during the pandemic were made without the support of causal evidence obtained in clinical trials. We study the case of nebulized ibuprofen (NaIHS), a drug that was extensively used on COVID-19 patients in Argentina amidst wild claims about its... View Details
Keywords: COVID-19; Drug Treatment; Health Pandemics; Health Care and Treatment; Decision Making; Outcome or Result; Argentina
Calonico, Sebastian, Rafael Di Tella, and Juan Cruz Lopez Del Valle. "Causal Inference During A Pandemic: Evidence on the Effectiveness of Nebulized Ibuprofen as an Unproven Treatment for COVID-19 in Argentina." NBER Working Paper Series, No. 30084, May 2022.
- April 2021
- Article
Evaluating Firm-Level Expected-Return Proxies: Implications for Estimating Treatment Effects
By: Charles M.C. Lee, Eric C. So and Charles C.Y. Wang
We introduce a parsimonious framework for choosing among alternative expected-return proxies (ERPs) when estimating treatment effects. By comparing ERPs’ measurement-error variances in the cross section and in time series, we provide new evidence on the relative... View Details
Keywords: Implied Cost Of Capital; Expected Returns; Cost of Capital; Investment Return; Performance Evaluation
Lee, Charles M.C., Eric C. So, and Charles C.Y. Wang. "Evaluating Firm-Level Expected-Return Proxies: Implications for Estimating Treatment Effects." Review of Financial Studies 34, no. 4 (April 2021): 1907–1951.
- 30 May 2023
- Video
From Prison to Nike’s C-Suite: Larry Miller’s Journey
- 2025
- Working Paper
Enhancing Treatment Effect Prediction on Privacy-Protected Data: An Honest Post-Processing Approach
By: Ta-Wei Huang and Eva Ascarza
As firms increasingly rely on customer data for personalization, concerns over privacy and regulatory compliance have grown. Local Differential Privacy (LDP) offers strong individual-level protection by injecting noise into data before collection. While... View Details
Keywords: Targeted Intervention; Conditional Average Treatment Effect Estimation; Differential Privacy; Honest Estimation; Post-processing; Analytics and Data Science; Consumer Behavior; Marketing
Huang, Ta-Wei, and Eva Ascarza. "Enhancing Treatment Effect Prediction on Privacy-Protected Data: An Honest Post-Processing Approach." Harvard Business School Working Paper, No. 24-034, December 2023. (Revised March 2025.)
- 22 Feb 2022
- News
Lack of Female Scientists Means Fewer Medical Treatments for Women
- October 2013
- Case
FasterCures: Removing Barriers to Treatments
By: Richard G. Hamermesh and James Weber
In mid-2013, as FasterCures celebrated its 10th anniversary as a center of the Milken Institute, Executive Director Margaret Anderson thought about what the organization should do to ensure it had even more impact in its next 10 years. FasterCures was a non-profit... View Details
Keywords: Health Care; Health Care Industry; Health Care Policy; Health Services; Healthcare; Healthcare Reform; Healthcare Ventures; Nonprofit; Non-profit Management; Not-for-profit; Incubator; Accelerator; Venture Philanthropy; Medical Services; Medical Solutions; Medical Research; Medical Treatment; Clinical Trials; Drug Reimbursement; Early Stage; Early Stage Research Funding; Early Stage Funding; Milken Institute; Michael Milken; David Baltimore; Partnering For Cures; National Institutes Of Health; Cancer Care In The U.S.; Cancer Care Services; Policy-making; Health Care and Treatment; Health; Health Testing and Trials; Entrepreneurship; Social Entrepreneurship; Nonprofit Organizations; Policy; Health Industry; United States; District of Columbia
Hamermesh, Richard G., and James Weber. "FasterCures: Removing Barriers to Treatments." Harvard Business School Case 814-003, October 2013.
- Article
A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects
By: Edward McFowland III, Sandeep Gangarapu, Ravi Bapna and Tianshu Sun
We define a prescriptive analytics framework that addresses the needs of a constrained decision-maker facing, ex ante, unknown costs and benefits of multiple policy levers. The framework is general in nature and can be deployed in any utility maximizing context, public... View Details
Keywords: Prescriptive Analytics; Heterogeneous Treatment Effects; Optimization; Observed Rank Utility Condition (OUR); Between-treatment Heterogeneity; Machine Learning; Decision Making; Analysis; Mathematical Methods
McFowland III, Edward, Sandeep Gangarapu, Ravi Bapna, and Tianshu Sun. "A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects." MIS Quarterly 45, no. 4 (December 2021): 1807–1832.