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- Faculty Publications (321)
- 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.
- 2022
- Working Paper
THEMIS: A Framework for Cost-Benefit Analysis of COVID-19 Non-Pharmaceutical Interventions
By: Dimitris Bertsimas, Michael Lingzhi Li and Saksham Soni
Since December 2019, the world has been ravaged by the COVID-19 pandemic, with over 150 million confirmed cases and 3 million confirmed deaths worldwide. To combat the spread of COVID-19, governments have issued unprecedented non-pharmaceutical interventions (NPIs),... View Details
Keywords: COVID-19; Health Pandemics; Policy; Framework; Cost vs Benefits; Outcome or Result; United States; Germany; Brazil; Singapore; Spain
Bertsimas, Dimitris, Michael Lingzhi Li, and Saksham Soni. "THEMIS: A Framework for Cost-Benefit Analysis of COVID-19 Non-Pharmaceutical Interventions." Working Paper, April 2022.
- 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.
- March 2022
- Article
Loan Types and the Bank Lending Channel
By: Victoria Ivashina, Luc Laeven and Enrique Moral-Benito
Using credit-registry data for Spain and Peru, we document that four main types of commercial credit—asset-based loans, cash flow loans, trade finance and leasing—are easily identifiable and represent the bulk of corporate credit. We show that credit growth dynamics... View Details
Keywords: Bank Credit; Loan Types; Bank Lending Channel; Credit Registry; Banks and Banking; Credit; Financing and Loans
Ivashina, Victoria, Luc Laeven, and Enrique Moral-Benito. "Loan Types and the Bank Lending Channel." Journal of Monetary Economics 126 (March 2022): 171–187.
- 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.
- February 2022
- Case
Leading The UK Vaccine Task Force
By: Amy C. Edmondson and Claudia Pienica
This case describes the first six months of the UK Vaccine Taskforce, under the leadership of Kate Bingham. With a career spent in the private sector as a biotech investor, Bingham’s appointment within the government was considered unusual. The overarching brief given... View Details
Keywords: COVID-19; Vaccine; Government; Health Pandemics; Health Care and Treatment; Science; Innovation and Invention; Groups and Teams; Leadership; Decision Making; Government and Politics; Health; Innovation and Management; Governance; Change; Government Administration; Health Industry; Financial Services Industry; Public Administration Industry; Europe; United Kingdom
Edmondson, Amy C., and Claudia Pienica. "Leading The UK Vaccine Task Force." Harvard Business School Case 622-079, February 2022.
- February 2022
- Case
NFX Capital and Moov Technologies
By: Scott Duke Kominers and Nicole Tempest Keller
In July 2019, James Currier, a general partner at San Francisco-based NFX Ventures, was considering a seed stage investment of $1.5 million in Moov Technologies, a B2B marketplace for used industrial equipment. NFX was a venture capital firm focused on seed-stage... View Details
Keywords: Venture Capital; Network Effects; Marketplace Matching; Digital Platforms; Market Design; Applications and Software; Semiconductor Industry; Financial Services Industry; San Francisco
Kominers, Scott Duke, and Nicole Tempest Keller. "NFX Capital and Moov Technologies." Harvard Business School Case 822-045, February 2022.
- Article
How Market Power Affects Dynamic Pricing: Evidence from Inventory Fluctuations at Car Dealerships
By: Ayelet Israeli, Fiona Scott-Morton, Jorge Silva-Risso and Florian Zettelmeyer
This paper investigates empirically the effect of market power on dynamic pricing in the presence of inventories. Our setting is the auto retail industry; we analyze how automotive dealerships adjust prices to inventory levels under varying degrees of market power. We... View Details
Keywords: Dynamic Pricing; Market Power; Pricing; Price Discrimination; Inventory Production; Marketing; Price; Competitive Strategy; Auto Industry; Retail Industry
Israeli, Ayelet, Fiona Scott-Morton, Jorge Silva-Risso, and Florian Zettelmeyer. "How Market Power Affects Dynamic Pricing: Evidence from Inventory Fluctuations at Car Dealerships." Management Science 68, no. 2 (February 2022): 895–916.
- 2022
- Article
Alleviating Time Poverty Among the Working Poor: A Pre-Registered Longitudinal Field Experiment
By: A.V. Whillans and Colin West
Poverty entails more than a scarcity of material resources—it also involves a shortage of time. To examine the causal benefits of reducing time poverty, we conducted a longitudinal feld experiment over six consecutive weeks in an urban slum in Kenya with a sample of... View Details
Keywords: Time; Subjective Well Being; Administrative Costs; Friction; Poverty; Well-being; Money; Perception; Kenya
Whillans, A.V., and Colin West. "Alleviating Time Poverty Among the Working Poor: A Pre-Registered Longitudinal Field Experiment." Art. 719. Scientific Reports 12 (2022).
- Article
Applying Human-Centered Design Principles to Digital Syndromic Surveillance at a Mass Gathering in India: Viewpoint
By: Ahmed Shaikh, Abhishek Bhatia, Ghanshyam Yadav, Shashwat Hora, Chung Won, Mark Shankar, Aaron Heerboth, Prakash Vemulapalli, Paresh Navalkar, Kunal Oswal, Clay Heaton, Sujata Saunik, Tarun Khanna and Satchit Balsari
In the wake of the COVID-19 pandemic, digital health tools have been deployed by governments around the world to advance clinical and population health objectives. Few interventions have been successful or have achieved sustainability or scale. In India, government... View Details
Keywords: Digital Health Tools; Human-centered Design; Health Care and Treatment; Mobile and Wireless Technology; Design; Technology Adoption
Shaikh, Ahmed, Abhishek Bhatia, Ghanshyam Yadav, Shashwat Hora, Chung Won, Mark Shankar, Aaron Heerboth, Prakash Vemulapalli, Paresh Navalkar, Kunal Oswal, Clay Heaton, Sujata Saunik, Tarun Khanna, and Satchit Balsari. "Applying Human-Centered Design Principles to Digital Syndromic Surveillance at a Mass Gathering in India: Viewpoint." Journal of Medical Internet Research 24, no. 1 (January 2022).
- 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.
- Article
Social Technology: An Interdisciplinary Approach to Improving Care for Older Adults
By: Arthur Kleinman, Hongtu Chen, Sue E. Levkoff, Ann Forsyth, David E. Bloom, Winnie Yip, Tarun Khanna, Conor J. Walsh, David Perry, Ellen W. Seely, Anne S. Kleinman, Yan Zhang, Yuan Wang, Jun Jing, Tianshu Pan, Ning An, Zhenggang Bai, Jiexiu Wang, Qing Liu and Fawwaz Habbal
Population aging is a defining demographic reality of our era. It is associated with an increase in the societal burden of delivering care to older adults with chronic conditions or frailty. How to integrate global population aging and technology development to help... View Details
Keywords: Health Care and Treatment; Age; Service Delivery; Information Technology; Collaborative Innovation and Invention
Kleinman, Arthur, Hongtu Chen, Sue E. Levkoff, Ann Forsyth, David E. Bloom, Winnie Yip, Tarun Khanna, Conor J. Walsh, David Perry, Ellen W. Seely, Anne S. Kleinman, Yan Zhang, Yuan Wang, Jun Jing, Tianshu Pan, Ning An, Zhenggang Bai, Jiexiu Wang, Qing Liu, and Fawwaz Habbal. "Social Technology: An Interdisciplinary Approach to Improving Care for Older Adults." Art. 729149. Frontiers in Public Health 9 (2021).
- December 2021
- Article
Trade Policy Uncertainty and Stock Returns
By: Marcelo Bianconi, Federico Esposito and Marco Sammon
A recent literature has documented large real effects of trade policy uncertainty (TPU) on trade, employment, and investment, but there is little evidence that investors are compensated for bearing such risk. To quantify the risk premium associated with TPU, we exploit... View Details
Keywords: Trade Policy; Uncertainty; Stock Returns; Risk Premium; Tariff Rates; Portfolio Analysis; Trade; Policy; Risk and Uncertainty; Stocks; Investment Return
Bianconi, Marcelo, Federico Esposito, and Marco Sammon. "Trade Policy Uncertainty and Stock Returns." Art. 102492. Journal of International Money and Finance 119 (December 2021).
- November 2021
- Article
Panel Experiments and Dynamic Causal Effects: A Finite Population Perspective
By: Iavor Bojinov, Ashesh Rambachan and Neil Shephard
In panel experiments, we randomly assign units to different interventions, measuring their outcomes, and repeating the procedure in several periods. Using the potential outcomes framework, we define finite population dynamic causal effects that capture the relative... View Details
Keywords: Panel Data; Dynamic Causal Effects; Potential Outcomes; Finite Population; Nonparametric; Mathematical Methods
Bojinov, Iavor, Ashesh Rambachan, and Neil Shephard. "Panel Experiments and Dynamic Causal Effects: A Finite Population Perspective." Quantitative Economics 12, no. 4 (November 2021): 1171–1196.