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(929)
- Faculty Publications (242)
- 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.
- February 2023
- Article
OTC Intermediaries
By: Andrea L. Eisfeldt, Bernard Herskovic, Sriram Rajan and Emil Siriwardane
We study the effect of dealer exit on prices and quantities in a model of an over-the-counter (OTC) market featuring a core-periphery network with bilateral trading costs. The model is calibrated using regulatory data on the entire U.S. credit default swap (CDS) market... View Details
Keywords: OTC Markets; Intermediaries; Dealers; Credit Default Swaps; Risk Sharing; Financial Markets; Networks; Price; Risk and Uncertainty
Eisfeldt, Andrea L., Bernard Herskovic, Sriram Rajan, and Emil Siriwardane. "OTC Intermediaries." Review of Financial Studies 36, no. 2 (February 2023): 615–677.
- 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.
- September 2022
- Technical Note
Addressing Social Determinants of Health in the American Landscape
By: Susanna Gallani and Jacob Riegler
Social determinants of health (SDOH) have gained significant attention in recent years. A growing body of research shows that a person’s health is influenced by a large number of non-genetic factors, most of which operate outside the realm of health care and are... View Details
Keywords: Socioeconomic Determinants Of Health; Social Determinants Of Health; Population Health; Health; Health Care and Treatment; Social Issues; Health Industry; Insurance Industry; Medical Devices and Supplies Industry; United States
Gallani, Susanna, and Jacob Riegler. "Addressing Social Determinants of Health in the American Landscape." Harvard Business School Technical Note 123-023, September 2022.
- September 2022
- Article
Giving a Buck or Making a Buck? Donations by Pharmaceutical Manufacturers to Independent Patient Assistance Charities
By: Leemore Dafny, Christopher Ody and Teresa Rokos
The federal Anti-Kickback Statute prohibits biopharmaceutical manufacturers from directly covering Medicare enrollees’ out-of-pocket spending for the drugs they manufacture, but manufacturers may donate to independent patient assistance charities and earmark donations... View Details
Keywords: Cost Sharing; Prescription Drugs; Drug Spending; Medicare; Dual Eligibility; Cost; Health Care and Treatment; Philanthropy and Charitable Giving; Pharmaceutical Industry
Dafny, Leemore, Christopher Ody, and Teresa Rokos. "Giving a Buck or Making a Buck? Donations by Pharmaceutical Manufacturers to Independent Patient Assistance Charities." Health Affairs 41, no. 9 (September 2022).
- September 2022
- Article
The Impact of Financial Assistance Programs on Health Care Utilization: Evidence from Kaiser Permanente
By: Alyce S. Adams, Raymond Kluender, Neale Mahoney, Jinglin Wang, Francis Wong and Wesley Yin
Most hospitals have financial assistance programs for low-income patients. We use administrative data from Kaiser Permanente to study the effects of financial assistance on health care utilization. Using a regression discontinuity design based on an income threshold... View Details
Keywords: Healthcare; Utilization; Financial Assistance; Health Care and Treatment; Social Issues; Poverty; Health Industry
Adams, Alyce S., Raymond Kluender, Neale Mahoney, Jinglin Wang, Francis Wong, and Wesley Yin. "The Impact of Financial Assistance Programs on Health Care Utilization: Evidence from Kaiser Permanente." American Economic Review: Insights 4, no. 3 (September 2022): 389–407.
- 2022
- Working Paper
Banking on Transparency for the Poor: Experimental Evidence from India
By: Erica M. Field, Natalia Rigol, Charity M. Troyer Moore, Rohini Pande and Simone G. Schaner
Do information frictions limit the benefits of financial inclusion drives for the rural poor? We evaluate an experimental intervention among recently banked poor Indian women receiving government cash transfers via direct deposit. Treated women were provided automated... View Details
Field, Erica M., Natalia Rigol, Charity M. Troyer Moore, Rohini Pande, and Simone G. Schaner. "Banking on Transparency for the Poor: Experimental Evidence from India." NBER Working Paper Series, No. 30289, July 2022.
- July 2022
- Article
The Passionate Pygmalion Effect: Passionate Employees Attain Better Outcomes in Part Because of More Preferential Treatment by Others
By: Ke Wang, Erica R. Bailey and Jon M. Jachimowicz
Employees are increasingly exhorted to “pursue their passion” at work. Inherent in this call is the belief that passion will produce higher performance because it promotes intrapersonal processes that propel employees forward. Here, we suggest that the pervasiveness of... View Details
Keywords: Passion; Self-fufilling Prophecy; Lay Beliefs; Interpersonal Processes; Employees; Performance; Attitudes; Organizational Culture; Social Psychology
Wang, Ke, Erica R. Bailey, and Jon M. Jachimowicz. "The Passionate Pygmalion Effect: Passionate Employees Attain Better Outcomes in Part Because of More Preferential Treatment by Others." Journal of Experimental Social Psychology 101 (July 2022).
- 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.
- 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.)
- 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 2022 (Revised March 2024)
- Case
DaVita Responds to COVID
By: Susanna Gallani and David Lane
Early in August 2021, DaVita CEO Javier Rodriguez was assessing the ongoing impact of the COVID-19 pandemic on his firm, which provided life-sustaining kidney dialysis to roughly 240,000 people. Effective infection control practices and information sharing had ensured... View Details
Keywords: COVID-19 Pandemic; Change Management; Communication; Talent and Talent Management; Fairness; Values and Beliefs; Corporate Accountability; Health Care and Treatment; Health Pandemics; Human Resources; Employee Relationship Management; Retention; Wages; Working Conditions; Leadership Style; Crisis Management; Organizational Culture; Health Industry; United States
Gallani, Susanna, and David Lane. "DaVita Responds to COVID." Harvard Business School Case 122-007, March 2022. (Revised March 2024.)
- 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.
- 2022
- Working Paper
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
By: Kosuke Imai and Michael Lingzhi Li
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details
Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Working Paper, March 2022.
- March 2022
- Article
Where to Locate COVID-19 Mass Vaccination Facilities?
By: Dimitris Bertsimas, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li and Alessandro Previero
The outbreak of COVID-19 led to a record-breaking race to develop a vaccine. However, the limited vaccine capacity creates another massive challenge: how to distribute vaccines to mitigate the near-end impact of the pandemic? In the United States in particular, the new... View Details
Keywords: Vaccines; COVID-19; Health Care and Treatment; Health Pandemics; Performance Effectiveness; Analytics and Data Science; Mathematical Methods
Bertsimas, Dimitris, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li, and Alessandro Previero. "Where to Locate COVID-19 Mass Vaccination Facilities?" Naval Research Logistics Quarterly 69, no. 2 (March 2022): 179–200.
- 24 Feb 2022
- Other Presentation
The Fearless ICU
By: Amy C. Edmondson
The last 24 months have pushed ICU teams around the world to their limits. As we move forward, we need to heal and rebuild our critical care teams. Healthcare more than ever will require ICU teams to perform at the highest levels and to continuously innovate to deliver... View Details
Keywords: Psychological Safety; Teams; Critical Care; Health Care and Treatment; Groups and Teams; Performance Effectiveness
"The Fearless ICU." Critical Matters (podcast), Sound Physicians, February 24, 2022.
- February 2022
- Case
Cleveland Clinic Abu Dhabi
By: Linda A. Hill and Emily Tedards
In 2006, the Cleveland Clinic and Mubadala Investment Company partnered with a bold ambition to deliver world class healthcare in the United Arab Emirates. In 2015, after nearly a decade of planning and construction, Cleveland Clinic Abu Dhabi opened its doors. By... View Details
Keywords: Organizational Behavior; Culture; Alignment; Organizational Effectiveness; Purpose; Impact; Leadership Development; Diversity; Collaboration; Co-creation; Learning Organizations; Empowerment; Teams; Team Dynamics; Teamwork; Team Effectiveness; Trust; Talent; Talent Development And Retention; Psychological Safety; Organizational Evolution; Coaching; Board; Analytics; Innovation; Data; Data Visualization; Digital Technology; Digital; Customer Experience; Experimentation; Change Management; Data-driven Decision-making; Debates; Ecosystem; Partnership; Telemedicine; Sustainability; Global Organizations; Local; Hospital; Healthcare; United Arab Emirates; Health Care and Treatment; Partners and Partnerships; Globalization; Quality; Organizational Culture; Mission and Purpose; Innovation and Management; Information Technology; Joint Ventures; Leadership; Performance Effectiveness; Abu Dhabi; United Arab Emirates
Hill, Linda A., and Emily Tedards. "Cleveland Clinic Abu Dhabi." Harvard Business School Case 422-058, February 2022.
- February 2022
- Case
Cleveland Clinic Abu Dhabi (Abridged)
By: Linda A. Hill and Emily Tedards
In 2006, the Cleveland Clinic and Mubadala Investment Company partnered with a bold ambition to deliver world class healthcare in the United Arab Emirates. In 2015, after nearly a decade of planning and construction, Cleveland Clinic Abu Dhabi opened its doors. By... View Details
Keywords: Organization Behavior; Culture; Alignment; Organizational Effectiveness; Purpose; Impact; Leadership Development; Diversity; Collaboration; Co-creation; Learning Organizations; Empowerment; Teams; Team Dynamics; Teamwork; Team Effectiveness; Trust; Talent; Talent Development And Retention; Psychological Safety; Organizational Evolution; Coaching; Board; Analytics; Innovation; Data; Data Visualization; Digital Technology; Digital; Customer Experience; Experimentation; Change Management; Data-driven Decision-making; Debates; Ecosystem; Partnership; Telemedicine; Sustainability; Global Organizations; Local; Hospital; Healthcare; United Arab Emirates; Health Care and Treatment; Partners and Partnerships; Globalization; Quality; Organizational Culture; Mission and Purpose; Innovation and Management; Information Technology; Joint Ventures; Leadership; Performance Effectiveness; Abu Dhabi; United Arab Emirates
Hill, Linda A., and Emily Tedards. "Cleveland Clinic Abu Dhabi (Abridged)." Harvard Business School Case 422-056, February 2022.
- February 2022
- Case
Cleveland Clinic Abu Dhabi: Leading Through the Fog of the COVID-19 Pandemic
By: Linda A. Hill and Emily Tedards
As COVID-19 began to take lives, destroy healthcare systems, and shut down economies across the globe, Dr. Rakesh Suri, Chief Executive Officer of Cleveland Clinic Abu Dhabi, and his executive team adapted their leadership to instill the new levels of agility and... View Details
Keywords: Organizational Behavior; Culture; Organizational Culture; Organizational Adaptation; Organizational Effectiveness; Alignment; Leadership; Innovation; Diversity; Collaboration; Co-creation; Learning Organizations; Empowerment; Teamwork; Ecosystem; Agility; Partnerships; Data-driven Decision-making; Operating Model; Risk Management; Virtual Work; Team Dynamics; Telemedicine; Metrics; Globalization; Pandemic; COVID-19; Hospital; Healthcare; United Arab Emirates; Middle East; Health Care and Treatment; Health Pandemics; Organizational Change and Adaptation; Crisis Management; Leading Change; Leadership Style; Digital Transformation; United Arab Emirates; Middle East
Hill, Linda A., and Emily Tedards. "Cleveland Clinic Abu Dhabi: Leading Through the Fog of the COVID-19 Pandemic." Harvard Business School Case 422-057, February 2022.