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      • Faculty Publications  (655)

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      • 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
      Keywords: AI and Machine Learning; Mathematical Methods
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      Bertsimas, Dimitris, Kosuke Imai, and Michael Lingzhi Li. "Distributionally Robust Causal Inference with Observational Data." Working Paper, February 2023.
      • January–February 2023
      • Article

      Forecasting COVID-19 and Analyzing the Effect of Government Interventions

      By: Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis and Dimitris Bertsimas
      We developed DELPHI, a novel epidemiological model for predicting detected cases and deaths in the prevaccination era of the COVID-19 pandemic. The model allows for underdetection of infections and effects of government interventions. We have applied DELPHI across more... View Details
      Keywords: COVID-19 Pandemic; Epidemics; Analytics and Data Science; Health Pandemics; AI and Machine Learning; Forecasting and Prediction
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      Li, Michael Lingzhi, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis, and Dimitris Bertsimas. "Forecasting COVID-19 and Analyzing the Effect of Government Interventions." Operations Research 71, no. 1 (January–February 2023): 184–201.
      • 2023
      • Working Paper

      Networking Frictions: Evidence from Entrepreneurial Networking Events in Lomé

      By: Stefan Dimitiadis and Rembrand Koning
      Spatial proximity between firms plays a crucial role in entrepreneurship by creating knowledge spillovers, enabling resource sharing, and sparking productivity gains. Building on these insights, research has explored whether institutions and organizations can engineer... View Details
      Keywords: Local Range; Knowledge Sharing; Performance Productivity; Togo
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      Dimitiadis, Stefan, and Rembrand Koning. "Networking Frictions: Evidence from Entrepreneurial Networking Events in Lomé." 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
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      Eisfeldt, Andrea L., Bernard Herskovic, Sriram Rajan, and Emil Siriwardane. "OTC Intermediaries." Review of Financial Studies 36, no. 2 (February 2023): 615–677.
      • January 2023
      • Module Note

      Network Effects in Technology

      By: Andy Wu and Matt Higgins
      In business and strategy contexts, network effects are often accompanied by bandwagon (or herding) effects, positive feedback loops (or accumulated advantage effects), and market tipping (or winner-take-all dynamics). Though these phenomena are often grouped together... View Details
      Keywords: Strategy; Network Effects
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      Wu, Andy, and Matt Higgins. "Network Effects in Technology." Harvard Business School Module Note 723-417, January 2023.
      • 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
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      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

      Evaluating Explainability for Graph Neural Networks

      By: Chirag Agarwal, Owen Queen, Himabindu Lakkaraju and Marinka Zitnik
      As explanations are increasingly used to understand the behavior of graph neural networks (GNNs), evaluating the quality and reliability of GNN explanations is crucial. However, assessing the quality of GNN explanations is challenging as existing graph datasets have no... View Details
      Keywords: Analytics and Data Science
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      Agarwal, Chirag, Owen Queen, Himabindu Lakkaraju, and Marinka Zitnik. "Evaluating Explainability for Graph Neural Networks." Art. 114. Scientific Data 10 (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
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      Imai, Kosuke, and Michael Lingzhi Li. "Experimental Evaluation of Individualized Treatment Rules." Journal of the American Statistical Association 118, no. 541 (2023): 242–256.
      • December 2022
      • Article

      Social Skills Improve Business Performance: Evidence from a Randomized Control Trial with Entrepreneurs in Togo

      By: Stefan Dimitriadis and Rembrand Koning
      Recent field experiments demonstrate that advice, mentorship, and feedback from randomly assigned peers improve entrepreneurial performance. These results raise a natural question: what is preventing entrepreneurs and managers from forming these peer connections... View Details
      Keywords: Social Skills; Business Performance; Entrepreneurs; Peer Relationships; Field Experiment; Entrepreneurship; Performance; Relationships; Interpersonal Communication; Togo
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      Dimitriadis, Stefan, and Rembrand Koning. "Social Skills Improve Business Performance: Evidence from a Randomized Control Trial with Entrepreneurs in Togo." Management Science 68, no. 12 (December 2022): 8635–8657.
      • December 2022
      • Article

      The Task Bind: Explaining Gender Differences in Managerial Tasks and Performance

      By: Alexandra C. Feldberg
      This multi-method study of managers in a grocery chain identifies a novel mechanism by which threats of gender stereotypes undermine women’s ability to be effective managers. I find that women managers face a task bind, a dilemma that managers experience as they try to... View Details
      Keywords: Gender Stereotypes; Gender; Managerial Roles; Performance Expectations
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      Feldberg, Alexandra C. "The Task Bind: Explaining Gender Differences in Managerial Tasks and Performance." Administrative Science Quarterly 67, no. 4 (December 2022): 1049–1092.
      • 2024
      • Working Paper

      Sharing Models to Interpret Data

      By: Joshua Schwartzstein and Adi Sunderam
      To understand new data, we share models or interpretations with others. This paper studies such exchanges of models in a community. The key assumption is that people adopt the interpretation in their community that best explains the data, given their prior beliefs. An... View Details
      Keywords: Social Learning Theory; Theory; Social Issues; Cognition and Thinking; Social and Collaborative Networks; Attitudes
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      Schwartzstein, Joshua, and Adi Sunderam. "Sharing Models to Interpret Data." Harvard Business School Working Paper, No. 25-011, August 2024. (Revised August 2024.)
      • November–December 2022
      • Article

      The Value of Descriptive Analytics: Evidence from Online Retailers

      By: Ron Berman and Ayelet Israeli
      Does the adoption of descriptive analytics impact online retailer performance, and if so, how? We use the synthetic difference-in-differences method to analyze the staggered adoption of a retail analytics dashboard by more than 1,500 e-commerce websites, and we find an... View Details
      Keywords: Descriptive Analytics; Big Data; Synthetic Control; E-commerce; Online Retail; Difference-in-differences; Martech; Internet and the Web; Analytics and Data Science; Performance; Marketing; Retail Industry
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      Berman, Ron, and Ayelet Israeli. "The Value of Descriptive Analytics: Evidence from Online Retailers." Marketing Science 41, no. 6 (November–December 2022): 1074–1096.
      • September 16, 2022
      • Article

      A Causal Test of the Strength of Weak Ties

      By: Karthik Rajkumar, Guillaume Saint-Jacques, Iavor I. Bojinov, Erik Brynjolfsson and Sinan Aral
      The authors analyzed data from multiple large-scale randomized experiments on LinkedIn’s People You May Know algorithm, which recommends new connections to LinkedIn members, to test the extent to which weak ties increased job mobility in the world’s largest... View Details
      Keywords: Job Mobility; Social Networks; Social Ties; Networks; Personal Development and Career
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      Rajkumar, Karthik, Guillaume Saint-Jacques, Iavor I. Bojinov, Erik Brynjolfsson, and Sinan Aral. "A Causal Test of the Strength of Weak Ties." Science 377, no. 6612 (September 16, 2022).
      • September 2022
      • Article

      Experimentation and Start-up Performance: Evidence from A/B Testing

      By: Rembrand Koning, Sharique Hasan and Aaron Chatterji
      Recent scholarship has argued that experimentation should be the organizing principle for entrepreneurial strategy. Experimentation leads to organizational learning, which drives improvements in firm performance. We investigate this proposition by exploiting the... View Details
      Keywords: Experimentation; A/B Testing; Data-driven Decision-making; Organizational Learning; Entrepreneurship; Strategy; Business Startups; Learning; Performance; Decision Making
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      Koning, Rembrand, Sharique Hasan, and Aaron Chatterji. "Experimentation and Start-up Performance: Evidence from A/B Testing." Management Science 68, no. 9 (September 2022): 6434–6453.
      • 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
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      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
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      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.
      • August 2022
      • Background Note

      Retail Media Networks

      By: Eva Ascarza, Ayelet Israeli and Celine Chammas
      In 2022, retail media was one of the fastest growing segments in digital advertising. A retail media network (RMN) allows a retailer to use its assets for advertising. Retailers set up an advertising business by allowing marketers to buy advertising space across their... View Details
      Keywords: Advertisers; Advertising Media; Media And Broadcasting Industry; Retail; Retail Analytics; Retail Promotion; Retailing; Ecommerce; E-Commerce Strategy; E-commerce; Marketing Communication; Targeting; Targeted Advertising; Targeted Marketing; Advertising; Marketing; Marketing Communications; Marketing Strategy; Brands and Branding; Media; Marketing Channels; Retail Industry; Consumer Products Industry; Advertising Industry; United States
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      Ascarza, Eva, Ayelet Israeli, and Celine Chammas. "Retail Media Networks." Harvard Business School Background Note 523-029, August 2022.
      • August 2022
      • Case

      SuperRare: Turning an NFT Marketplace into a DAO

      By: Jeffrey J. Bussgang, Scott Duke Kominers and Amy Klopfenstein
      In June 2021, John Crain and Jonathan Perkins, the founders of SuperRare, a marketplace for non-fungible tokens (NFTs), contemplate whether to transform their company into a decentralized autonomous organization (DAO). Crain and Perkins founded SuperRare in 2018 to... View Details
      Keywords: NFTs; Crypto Economy; Alternative Assets; DAOs; Arts; Governance; Governance Controls; Governing Rules, Regulations, and Reforms; Information Technology; Technology Adoption; Internet and the Web; Digital Platforms; Innovation and Invention; Technological Innovation; Disruptive Innovation; Finance; Currency; Investment; Markets; Auctions; Bids and Bidding; Demand and Consumers; Network Effects; Market Design; Market Transactions; Market Timing; Web Services Industry; North and Central America; United States
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      Bussgang, Jeffrey J., Scott Duke Kominers, and Amy Klopfenstein. "SuperRare: Turning an NFT Marketplace into a DAO." Harvard Business School Case 823-027, August 2022.
      • August 2022
      • Article

      Availability of New Medicines in the U.S. and Germany From 2004 to 2018

      By: Katharina Blankart, Huseyin Naci and Amitabh Chandra
      Importance: Germany's unique approach to coverage determination and pricing has ensured that effective medicines remain on the market, often at prices reduced through negotiation. However, less is known about trade-offs of this approach with regard to initial... View Details
      Keywords: Market Entry and Exit; Price; Market Timing; Governing Rules, Regulations, and Reforms; Pharmaceutical Industry; United States; Germany
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      Blankart, Katharina, Huseyin Naci, and Amitabh Chandra. "Availability of New Medicines in the U.S. and Germany From 2004 to 2018." e2229231. JAMA Network Open 5, no. 8 (August 2022).
      • August, 2022
      • Article

      Changing Ingroup Boundaries: The Effect of Immigration on Race Relations in the United States

      By: Vasiliki Fouka and Marco Tabellini
      How do social group boundaries evolve? Does the appearance of a new outgroup change the ingroup's perceptions of other outgroups? We introduce a conceptual framework of context-dependent categorization, in which exposure to one minority leads to recategorization of... View Details
      Keywords: In-group-out-group Relations; Ingroup-outgroup Relations; Immigration; Race; Relationships; United States
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      Fouka, Vasiliki, and Marco Tabellini. "Changing Ingroup Boundaries: The Effect of Immigration on Race Relations in the United States." American Political Science Review 116, no. 3 (August, 2022): 968–984. (Featured in the Boston Globe, Washington Post, and HBS Working Knowledge.)
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