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(679)
- Faculty Publications (207)
- 2023
- Working Paper
The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities
By: David S. Scharfstein and Sergey Chernenko
We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement bias in... View Details
Keywords: Racial Disparity; Paycheck Protection Program; Measurement Error; AI and Machine Learning; Race; Measurement and Metrics; Equality and Inequality; Prejudice and Bias; Forecasting and Prediction; Outcome or Result
Scharfstein, David S., and Sergey Chernenko. "The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities." Working Paper, April 2023.
- April 2023
- Article
The Preference Survey Module: A Validated Instrument for Measuring Risk, Time, and Social Preferences
By: Armin Falk, Anke Becker, Thomas Dohmen, David B. Huffman and Uwe Sunde
Incentivized choice experiments are a key approach to measuring preferences in economics but are also costly. Survey measures are a low-cost alternative but can suffer from additional forms of measurement error due to their hypothetical nature. This paper seeks to... View Details
Keywords: Survey Validation; Experiment; Preference Measurement; Surveys; Economics; Behavior; Measurement and Metrics
Falk, Armin, Anke Becker, Thomas Dohmen, David B. Huffman, and Uwe Sunde. "The Preference Survey Module: A Validated Instrument for Measuring Risk, Time, and Social Preferences." Management Science 69, no. 4 (April 2023): 1935–1950.
- 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
Climate Solutions Investments
By: Alex Cheema-Fox, George Serafeim and Hui (Stacie) Wang
An increasing number of companies are providing products and services that help reduce carbon emissions in the economy. We develop a methodology to identify those companies and create a sample of publicly listed climate solutions companies allowing us to study their... View Details
Keywords: Decarbonization; Climate Finance; Climate Impact; Climate Risk; Environment; Sustainability; Carbon Emissions; Electric Vehicles; Energy; Renewables; Climate Change; Corporate Social Responsibility and Impact; Environmental Sustainability; Emerging Markets; Investment Portfolio
Cheema-Fox, Alex, George Serafeim, and Hui (Stacie) Wang. "Climate Solutions Investments." Journal of Portfolio Management 49, no. 3 (February 2023): 72–96.
- January–February 2023
- Article
Data-Driven COVID-19 Vaccine Development for Janssen
By: Dimitris Bertsimas, Michael Lingzhi Li, Xinggang Liu, Jennings Xu and Najat Khan
The COVID-19 pandemic has spurred extensive vaccine research worldwide. One crucial part of vaccine development is the phase III clinical trial that assesses the vaccine for safety and efficacy in the prevention of COVID-19. In this work, we enumerate the first... View Details
Keywords: COVID-19; Health Testing and Trials; Forecasting and Prediction; AI and Machine Learning; Research; Pharmaceutical Industry
Bertsimas, Dimitris, Michael Lingzhi Li, Xinggang Liu, Jennings Xu, and Najat Khan. "Data-Driven COVID-19 Vaccine Development for Janssen." INFORMS Journal on Applied Analytics 53, no. 1 (January–February 2023): 70–84.
- 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.
- 2022
- Article
Climate Change Vulnerability and Currency Returns
By: Alex Cheema-Fox, George Serafeim and Hui (Stacie) Wang
Using measures of physical risk from climate change, we develop a methodology to allocate currency pairs according to a country’s vulnerability and construct portfolios with decreasing vulnerability to physical risk. We show that non-G10 currencies are more vulnerable... View Details
Keywords: Climate Finance; Vulnerabilities; Currencies; Foreign Exchange; Climate Change; Currency; Natural Disasters
Cheema-Fox, Alex, George Serafeim, and Hui (Stacie) Wang. "Climate Change Vulnerability and Currency Returns." Financial Analysts Journal 78, no. 4 (2022): 37–58.
- 2022
- Article
The Turn Toward Creative Work
By: Spencer Harrison, Elizabeth D. Rouse, Colin M. Fisher and Teresa M. Amabile
In this Academy of Management Collections essay, we curate a set of articles from the Academy of Management family of journals that showcase the evolution of creativity research within organizational scholarship. The articles reveal a shift from the study of... View Details
Harrison, Spencer, Elizabeth D. Rouse, Colin M. Fisher, and Teresa M. Amabile. "The Turn Toward Creative Work." Academy of Management Collections 1, no. 1 (2022): 1–15.
- July 2022
- Case
FIJI Water: Carbon Negative? (Abridged)
In the midst of increasing press scrutiny of the bottled water industry’s environmentally harmful practices, FIJI Water made a series of sustainability promises. The boldest of these was a pledge to go “carbon negative.” The company said that not only would they offset... View Details
Keywords: Carbon Footprint; Carbon Offsetting; Environmental Accounting; Climate Change; Environmental Sustainability; Pollution; Cross-Cultural and Cross-Border Issues; Misleading and Fraudulent Advertising; Non-Governmental Organizations; Brands and Branding; Food and Beverage Industry; Fiji; United States
Toffel, Michael W., George Serafeim, Francesca Gino, Stephanie Van Sice, and Tom Quinn. "FIJI Water: Carbon Negative? (Abridged)." Harvard Business School Case 623-004, July 2022.
- Article
Online Experimentation: Benefits, Operational and Methodological Challenges, and Scaling Guide
By: Iavor Bojinov and Somit Gupta
In the past decade, online controlled experimentation, or A/B testing, at scale has proved to be a significant driver of business innovation. The practice was first pioneered by the technology sector and, more recently, has been adopted by traditional companies... View Details
Keywords: A/B Testing; Experimentation; Data-driven Culture; Product Development; Innovation and Invention; Digital Transformation
Bojinov, Iavor, and Somit Gupta. "Online Experimentation: Benefits, Operational and Methodological Challenges, and Scaling Guide." Harvard Data Science Review, no. 4.3 (Summer, 2022).
- June 2022 (Revised August 2023)
- Case
Strategic Innovation at the United Nations: A Network of Ecosystems
By: Frank Nagle, Elizabeth J. Altman and Amy Klopfenstein
In 2021, Gina Lucarelli, leader of the United Nations Development Programme (UNDP) Accelerator Labs, prepared for a meeting with UNDP Administrator Achim Steiner. The two planned to discuss the future of the Accelerator Labs, a network of social innovation labs located... View Details
Keywords: Change; Disruption; Transformation; Change Management; Education; Learning; Environmental Management; Climate Change; Environmental Sustainability; Geography; Geographic Scope; Global Range; Local Range; Geopolitical Units; Country; Human Resources; Recruitment; Retention; Selection and Staffing; Employees; Employee Relationship Management; Information Technology; Information Management; Innovation and Invention; Collaborative Innovation and Invention; Disruptive Innovation; Innovation and Management; Innovation Leadership; Innovation Strategy; Knowledge; Knowledge Acquisition; Knowledge Dissemination; Knowledge Management; Knowledge Sharing; Knowledge Use and Leverage; Organizations; Mission and Purpose; Organizational Culture; Organizational Structure; Organizational Design; Organizational Change and Adaptation; Social Enterprise; Non-Governmental Organizations; Social Psychology; Social and Collaborative Networks; Society; Social Issues; Welfare; Strategy; Cooperation; Adaptation; Public Administration Industry; North and Central America
Nagle, Frank, Elizabeth J. Altman, and Amy Klopfenstein. "Strategic Innovation at the United Nations: A Network of Ecosystems." Harvard Business School Case 722-363, June 2022. (Revised August 2023.)
- 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
- 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.
- February 2022
- Teaching Plan
Community Solutions
By: Brian Trelstad and Tom Quinn
Teaching Plan for HBS Case No. 322-021. Community Solutions was an anti-homelessness nonprofit founded in 2011 after protagonist Rosanne Haggerty grew frustrated with the limited impact of traditional housing and outreach strategies. It set an ambitious goal, reached... View Details
- 2022
- Article
Improving Efficiency and Reducing Costs of MRI-Guided Prostate Brachytherapy Using Time-Driven Activity-Based Costing
By: Nikhil G. Thaker, Rajat J. Kudchadker, James R. Incalcaterra, Tharakeswara K. Bathala, Robert S. Kaplan, Ankit Agarwal, Deborah A. Kuban, Benjamin D. Frank, Prajnan Das, Thomas W. Feeley and Steven J. Frank
Integrated quality improvement (QI) and cost reduction strategies can help increase value in cancer care. We applied standard QI and TDABC methods to improve workflow efficiency and reduce costs for MRI-guided prostate brachytherapy. We constructed process maps,... View Details
Keywords: Brachytherapy; Quality Improvement; Prostate; Time-Driven Activity-Based Costing; Cost Accounting; Health Care and Treatment; Performance Efficiency; Health Industry
Thaker, Nikhil G., Rajat J. Kudchadker, James R. Incalcaterra, Tharakeswara K. Bathala, Robert S. Kaplan, Ankit Agarwal, Deborah A. Kuban, Benjamin D. Frank, Prajnan Das, Thomas W. Feeley, and Steven J. Frank. "Improving Efficiency and Reducing Costs of MRI-Guided Prostate Brachytherapy Using Time-Driven Activity-Based Costing." Brachytherapy 21, no. 1 (2022): 49–54.
- Article
The Emergence of Mafia-like Business Systems in China
By: Meg Rithmire and Hao Chen
A large body of literature on state–business relations in China has examined the political role of capitalists and collusion between the state and the private sector. This paper contributes to that literature and understanding of the internal differentiation among... View Details
Keywords: China's Political Economy; State-business Relations; Business Groups; Financial System; Business and Government Relations; Finance; Economic Systems; China
Rithmire, Meg, and Hao Chen. "The Emergence of Mafia-like Business Systems in China." China Quarterly 248 (December 2021): 1037–1058.
- November 2021 (Revised January 2022)
- Case
Nicole M. Jones and The Hangar℠: Delta Air Lines' Global Innovation Center
By: Linda A. Hill and Emily Tedards
In 2016, Nicole M. Jones was hired to lead The Hangar, Delta Air Lines’ new innovation center in Atlanta, Georgia. Delta’s leadership had intended for The Hangar to catalyze a new approach to innovation at the company. After conducting three months of research on... View Details
Keywords: Innovation Lab; Breakthrough Innovation; Biometric Technology; Innovation and Invention; Leadership; Innovation and Management; Collaborative Innovation and Invention; Innovation Strategy; Technological Innovation; Georgia (state, US)
Hill, Linda A., and Emily Tedards. "Nicole M. Jones and The Hangar℠: Delta Air Lines' Global Innovation Center." Harvard Business School Case 422-042, November 2021. (Revised January 2022.)
- September 2021 (Revised November 2022)
- Case
Community Solutions
By: Brian Trelstad and Tom Quinn
Community Solutions was an anti-homelessness nonprofit founded in 2011 after protagonist Rosanne Haggerty grew frustrated with the limited impact of traditional housing and outreach strategies. It set an ambitious goal, reached in some partner communities, of ending... View Details
Keywords: Change; Change Management; Disruption; Transformation; Communication; Communication Strategy; Decision Making; Cost vs Benefits; Decision Choices and Conditions; Decisions; Forecasting and Prediction; Social Entrepreneurship; Ethics; Values and Beliefs; Capital Budgeting; Capital Markets; Country; Government Administration; Government Legislation; Housing; Disruptive Innovation; Innovation and Invention; Innovation Strategy; Knowledge Sharing; Leading Change; Resource Allocation; Mission and Purpose; Performance Evaluation; Performance Improvement; Philanthropy and Charitable Giving; Opportunities; Social Enterprise; Nonprofit Organizations; Human Needs; Public Opinion; Social Issues; Societal Protocols; Poverty; Welfare; Well-being; System; Equality and Inequality; Consulting Industry; Real Estate Industry; United States; New York (city, NY); Florida; Texas
Trelstad, Brian, and Tom Quinn. "Community Solutions." Harvard Business School Case 322-021, September 2021. (Revised November 2022.)
- August 2021
- Article
Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders
By: Tarun Khanna, Karim R. Lakhani, Shubhangi Bhadada, Nabil Khan, Saba Kohli Davé, Rasim Alam and Meena Hewett
This paper examines the role that the two lead authors’ personal connections played in the research methodology and data collection for the Partition Stories Project—a mixed-methods approach to revisiting the much-studied historical trauma of the Partition of British... View Details
Keywords: Mixed Methods; Insider-outsiders; Myth Of Informed Objectivity; Hybrid Research; Oral Narratives; Research; Analysis; India
Khanna, Tarun, Karim R. Lakhani, Shubhangi Bhadada, Nabil Khan, Saba Kohli Davé, Rasim Alam, and Meena Hewett. "Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders." Academy of Management Perspectives 35, no. 3 (August 2021): 384–399.
- August 2021
- Article
Rate-Amplifying Demand and the Excess Sensitivity of Long-Term Rates
By: Samuel G. Hanson, David O. Lucca and Jonathan H. Wright
Long-term nominal interest rates are surprisingly sensitive to high-frequency (daily or monthly) movements in short-term rates. Since 2000, this high-frequency sensitivity has grown even stronger in U.S. data. By contrast, the association between low-frequency changes... View Details
Hanson, Samuel G., David O. Lucca, and Jonathan H. Wright. "Rate-Amplifying Demand and the Excess Sensitivity of Long-Term Rates." Quarterly Journal of Economics 136, no. 3 (August 2021): 1719–1781.