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      • June 2022 (Revised January 2025)
      • Technical Note

      Causal Inference

      By: Iavor I Bojinov, Michael Parzen and Paul Hamilton
      This note provides an overview of causal inference for an introductory data science course. First, the note discusses observational studies and confounding variables. Next the note describes how randomized experiments can be used to account for the effect of... View Details
      Keywords: Causal Inference; Causality; Experiment; Experimental Design; Data Science; Analytics and Data Science
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      Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Causal Inference." Harvard Business School Technical Note 622-111, June 2022. (Revised January 2025.)
      • June 2022
      • Teaching Note

      Bespoken Spirits: Disrupting Distilling

      By: Benjamin C. Esty and Daniel Fisher
      Teaching Note for HBS Case No. 721-419. On October 7, 2020, Bespoken Spirits publicly announced it had received $2.6 million of seed funding for its “sustainable maturation process,” a process that could produce award-winning whiskeys in just days rather than years... View Details
      Keywords: B2B Vs. B2C; Technological Innovation; Business Startups; Cost Management; Business Model; Consumer Products Industry; Food and Beverage Industry; Service Industry
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      Esty, Benjamin C., and Daniel Fisher. "Bespoken Spirits: Disrupting Distilling." Harvard Business School Teaching Note 722-457, June 2022.
      • 2022
      • Article

      How to Choose a Default

      By: John Beshears, Richard T. Mason and Shlomo Benartzi
      We have developed a model for setting a default when a population is choosing among ordered choices—that is, ones listed in ascending or descending order. A company, for instance, might want to set a default contribution rate that will increase employees’ average... View Details
      Keywords: Nudge; Choice Architecture; Behavioral Economics; Behavioral Science; Default; Savings; Decision Choices and Conditions; Behavior; Motivation and Incentives
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      Beshears, John, Richard T. Mason, and Shlomo Benartzi. "How to Choose a Default." Behavioral Science & Policy 8, no. 1 (2022): 1–15.
      • Article

      Multitasking While Driving: A Time Use Study of Commuting Knowledge Workers to Assess Current and Future Uses

      By: Thomaz Teodorovicz, Andrew L. Kun, Raffaella Sadun and Orit Shaer
      Commuting has enormous impact on individuals, families, organizations, and society. Advances in vehicle automation may help workers employ the time spent commuting in productive work-tasks or wellbeing activities. To achieve this goal, however, we need to develop a... View Details
      Keywords: In-vehicle User Interfaces; Time-use Study; Automated Vehicles; Knowledge Workers; Commuting
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      Teodorovicz, Thomaz, Andrew L. Kun, Raffaella Sadun, and Orit Shaer. "Multitasking While Driving: A Time Use Study of Commuting Knowledge Workers to Assess Current and Future Uses." International Journal of Human-Computer Studies 162 (June 2022).
      • June 2022
      • Article

      The Use and Misuse of Patent Data: Issues for Finance and Beyond

      By: Josh Lerner and Amit Seru
      Patents and citations are powerful tools for understanding innovation increasingly used in financial economics (and management research more broadly). Biases may result, however, from the interactions between the truncation of patents and citations and the changing... View Details
      Keywords: Patents; Analytics and Data Science; Corporate Finance; Research
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      Lerner, Josh, and Amit Seru. "The Use and Misuse of Patent Data: Issues for Finance and Beyond." Review of Financial Studies 35, no. 6 (June 2022): 2667–2704.
      • June 2022
      • Article

      The Welfare Effects of Peer Entry in the Accommodation Market: The Case of Airbnb and the Accommodation Industry

      By: Chiara Farronato and Andrey Fradkin
      We study the effects of enabling peer supply through Airbnb in the accommodation industry. We present a model of competition between flexible and dedicated sellers—peer hosts and hotels—who provide differentiated products. We estimate this model using data from major... View Details
      Keywords: Peer To Peer; Airbnb; Digital Platforms; Market Entry and Exit; Competition; Accommodations Industry
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      Farronato, Chiara, and Andrey Fradkin. "The Welfare Effects of Peer Entry in the Accommodation Market: The Case of Airbnb and the Accommodation Industry." American Economic Review 112, no. 6 (June 2022): 1782–1817.
      • Article

      Why Build in Web3

      By: Jad Esber and Scott Duke Kominers
      A major change is coming to the internet. While today’s dominant platforms have guarded their troves of user data and maintained an advantage through network effects, new companies—working in what they're calling a “Web3” model—are proposing a new value proposition to... View Details
      Keywords: Blockchain; User Experience; Digital Platforms; Network Effects; Internet and the Web; Competition; Web Services Industry
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      Esber, Jad, and Scott Duke Kominers. "Why Build in Web3." Harvard Business Review Digital Articles (May 16, 2022).
      • May 2022
      • Case

      TikTok and National Security: Investment in an Age of Data Sovereignty?

      By: Jeremy Friedman, Sarah Bauerle Danzman and David Lane
      This case covers TikTok’s purchase of Musical.ly and the reaction of the United States government, including the review of the purchase by the Committee on Foreign Investment in the United States (CFIUS) and the reaction of the presidential administration of Donald... View Details
      Keywords: Data Security; Mergers and Acquisitions; Cybersecurity; Internet and the Web; International Relations; Laws and Statutes; Globalized Firms and Management
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      Friedman, Jeremy, Sarah Bauerle Danzman, and David Lane. "TikTok and National Security: Investment in an Age of Data Sovereignty?" Harvard Business School Case 722-020, May 2022.
      • 2022
      • Working Paper

      Distributional Consequences of Monetary Policy Across Races: Evidence from the U.S. Credit Register

      By: Laura Alfaro, Ester Faia and Camelia Minoiu
      We examine the consequences of monetary policy on racial disparities, focusing on the role of bank lending to firms through collateral and selection channels. Leveraging comprehensive loan-level data from the U.S. credit register (Y-14Q) of the Federal Reserve, we show... View Details
      Keywords: Monetary Policy Transmission; Inequity; Credit Registry; Wealth; Collateral Channel; Selection; Racial Disparity; Racial Inequality; Equality and Inequality; Banks and Banking; Credit; Governing Rules, Regulations, and Reforms; Banking Industry; United States
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      Alfaro, Laura, Ester Faia, and Camelia Minoiu. "Distributional Consequences of Monetary Policy Across Races: Evidence from the U.S. Credit Register." Harvard Business School Working Paper, No. 22-068, April 2022.
      • May 2022
      • Article

      Can Gambling Increase Savings? Empirical Evidence on Prize-Linked Savings Accounts

      By: Shawn A. Cole, Benjamin Iverson and Peter Tufano
      This paper studies the adoption and impact of prize-linked savings (PLS) accounts, which offer lottery-like payouts to individual account holders in lieu of interest. Using microlevel data from a bank in South Africa, we show that PLS is attractive to a broad group of... View Details
      Keywords: Household Finance; Banking; Savings; Prize-linked Savings; Lottery; Household; Personal Finance; Saving; Banks and Banking
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      Cole, Shawn A., Benjamin Iverson, and Peter Tufano. "Can Gambling Increase Savings? Empirical Evidence on Prize-Linked Savings Accounts." Management Science 68, no. 5 (May 2022): 3282–3308.
      • 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
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      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.
      • May 2022
      • Article

      Coins for Bombs: The Predictive Ability of On-Chain Transfers for Terrorist Attacks

      By: Dan Amiram, Evgeny Lyandres and Daniel Rabetti
      This study examines whether we can learn from the behavior of blockchain-based transfers to predict the financing of terrorist attacks. We exploit blockchain transaction transparency to map millions of transfers for hundreds of large on-chain service providers. The... View Details
      Keywords: Blockchain; Bitcoin; Accounting; AI and Machine Learning; National Security; Governing Rules, Regulations, and Reforms
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      Amiram, Dan, Evgeny Lyandres, and Daniel Rabetti. "Coins for Bombs: The Predictive Ability of On-Chain Transfers for Terrorist Attacks." Journal of Accounting Research 60, no. 2 (May 2022): 427–466.
      • Article

      Early Withdrawal of Pandemic Unemployment Insurance: Effects on Earnings, Employment and Consumption

      By: Kyle Coombs, Arindrajit Dube, Calvin Jahnke, Raymond Kluender, Suresh Naidu and Michael Stepner
      In June 2021, 22 states ended all supplemental pandemic unemployment insurance (UI) benefits, eliminating benefits entirely for over 2 million workers and reducing benefits by $300 per week for over 1 million workers. Using anonymous bank transaction data and a... View Details
      Keywords: COVID-19 Pandemic; Unemployment Insurance; Health Pandemics; Insurance; Employment; Financial Condition; Spending; Government Administration
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      Coombs, Kyle, Arindrajit Dube, Calvin Jahnke, Raymond Kluender, Suresh Naidu, and Michael Stepner. "Early Withdrawal of Pandemic Unemployment Insurance: Effects on Earnings, Employment and Consumption." AEA Papers and Proceedings 112 (May 2022): 85–90.
      • 2022
      • Article

      Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis.

      By: Martin Pawelczyk, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay and Himabindu Lakkaraju
      As machine learning (ML) models become more widely deployed in high-stakes applications, counterfactual explanations have emerged as key tools for providing actionable model explanations in practice. Despite the growing popularity of counterfactual explanations, a... View Details
      Keywords: Machine Learning Models; Counterfactual Explanations; Adversarial Examples; Mathematical Methods
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      Pawelczyk, Martin, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay, and Himabindu Lakkaraju. "Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 25th (2022).
      • May 2022
      • Article

      How Status of Research Papers Affects the Way They Are Read and Cited

      By: Misha Teplitskiy, Eamon Duede, Michael Menietti and Karim R. Lakhani
      Although citations are widely used to measure the influence of scientific works, research shows that many citations serve rhetorical functions and reflect little-to-no influence on the citing authors. If highly cited papers disproportionately attract rhetorical... View Details
      Keywords: Metrics; Influence; Status; Citations; Science; Measurement and Metrics; Research; Perception
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      Teplitskiy, Misha, Eamon Duede, Michael Menietti, and Karim R. Lakhani. "How Status of Research Papers Affects the Way They Are Read and Cited." Research Policy 51, no. 4 (May 2022).
      • 2022
      • Working Paper

      On the Estimation of Demand-Based Asset Pricing Models

      By: Philippe van der Beck
      A growing literature uses portfolio holdings data to quantify the impact of investor demand on equilibrium prices via counterfactual experiments. The key parameter in relating demand and equilibrium prices is investors’ elasticity of demand with respect to the price.... View Details
      Keywords: Price; Investment Portfolio; Institutional Investing; Financial Instruments
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      van der Beck, Philippe. "On the Estimation of Demand-Based Asset Pricing Models." Swiss Finance Institute Research Paper Series, No. 22-67, May 2022.
      • 2022
      • Working Paper

      Small Campaign Donors

      By: Laurent Bouton, Julia Cagé, Edgard Dewitte and Vincent Pons
      In this paper, we study the characteristics and behavior of small donors, and compare them to those of large donors. We first build a novel dataset including all the 340 million individual contributions reported to the U.S. Federal Election Commission between 2005 and... View Details
      Keywords: Campaign Finance; Campaign Contributions; Small Donations; ActBlue; WinRed; TV Advertising; Political Elections; Finance; Demographics; Advertising; Analysis; Analytics and Data Science
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      Bouton, Laurent, Julia Cagé, Edgard Dewitte, and Vincent Pons. "Small Campaign Donors." NBER Working Paper Series, No. 30050, May 2022.
      • 2022
      • Book

      The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI

      By: Paul Leonardi and Tsedal Neeley
      The pressure to "be digital" has never been greater, but you can meet the challenge. The digital revolution is here, changing how work gets done, how industries are structured, and how people from all walks of life work, behave, and relate to each other. To thrive... View Details
      Keywords: Digital; Artificial Intelligence; Big Data; Digital Transformation; Technological Innovation; Transformation; Learning; Competency and Skills
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      Leonardi, Paul, and Tsedal Neeley. The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI. Boston, MA: Harvard Business Review Press, 2022.
      • April 2022
      • Teaching Note

      Banorte Móvil: Data-Driven Mobile Growth

      By: Ayelet Israeli and Carla Larangeira
      In mid-2019, Carlos Hank was deliberating over the results for Banorte Móvil—the mobile application for Banorte, Mexico’s most profitable and second-largest financial institution. Hank, who had been appointed as Banorte´s Chairman of the Board in January 2015, had... View Details
      Keywords: Data Analytics; Customer Lifetime Value; Financial Institutions; Mobile and Wireless Technology; Growth and Development Strategy; Customers; Technology Adoption; Communication Strategy; Banking Industry; Mexico; Latin America
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      Israeli, Ayelet, and Carla Larangeira. "Banorte Móvil: Data-Driven Mobile Growth." Harvard Business School Teaching Note 522-095, April 2022.
      • 2022
      • Working Paper

      An Anatomy of Performance Monitoring

      By: Achyuta Adhvaryu, Anant Nyshadham and Jorge Tamayo
      Performance monitoring is a mainstay management tool in most organizations. Yet we still know little about whether—and why—better monitoring yields better performance in practice. To shed light on these questions, we study the introduction of a performance monitoring... View Details
      Keywords: Performance Monitoring; Worker Skills; Skill Depreciation; Managerial Inattention; On-the-job Training; Productivity; Multitasking; Quick Serve Restaurants; Performance Evaluation; Employees; Competency and Skills; Training; Performance Productivity; Management; Information Technology; Food and Beverage Industry; Puerto Rico
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      Adhvaryu, Achyuta, Anant Nyshadham, and Jorge Tamayo. "An Anatomy of Performance Monitoring." Harvard Business School Working Paper, No. 22-066, March 2022. (R&R Journal of Political Economy.)
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