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Publications

Publications

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    • All HBS Web  (1,154)
      • Faculty Publications  (139)

      Observational StudiesRemove Observational Studies →

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      • 2024
      • Working Paper

      Anti-Political-Establishment Citizens: An In-Depth Study from Two Latin American Countries

      By: Loreto Cox and Natalia Garbiras-Diaz
      Building on citizens’ animosity towards politicians, anti-establishment parties and candidates have achieved significant electoral success. While recent studies examine the supply-side, we know little about what drives citizens’ anti-establishment sentiments and how... View Details
      Keywords: Political Parties; Political Instability; Democracy; Elections; Electoral Behavior; Election Outcomes; Ideology; Political Elections; Policy; Governance; Government and Politics; Social Issues; Society; Perception; Crime and Corruption; Latin America; South America; Colombia; Peru
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      Cox, Loreto, and Natalia Garbiras-Diaz. "Anti-Political-Establishment Citizens: An In-Depth Study from Two Latin American Countries." Working Paper, July 2024.
      • July 11, 2023
      • Article

      How Reputation Does (and Does Not) Drive People to Punish Without Looking

      By: Jillian J. Jordan and Nour S. Kteily
      Punishing wrongdoers can confer reputational benefits, and people sometimes punish without careful consideration. But are these observations related? Does reputation drive people to people to “punish without looking”? And if so, is this because unquestioning... View Details
      Keywords: Opposing Perspectives; Outrage Culture; Signaling; Ideology; Moralistic Punishment; Perspective; Behavior; Reputation; Decision Making
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      Jordan, Jillian J., and Nour S. Kteily. "How Reputation Does (and Does Not) Drive People to Punish Without Looking." Proceedings of the National Academy of Sciences 120, no. 28 (July 11, 2023).
      • 2023
      • Working Paper

      The Market for Sharing Interest Rate Risk: Quantities and Asset Prices

      By: Ishita Sen, Umang Khetan, Jane Li and Ioana Neamtu
      We study the extent of interest rate risk sharing across the financial system using granular positions and transactions data in interest rate swaps. We show that pension and insurance (PF&I) sector emerges as a natural counterparty to banks and corporations: overall,... View Details
      Keywords: Interest Rates; Investment Funds; Banks and Banking; Insurance; Investment Banking; Risk and Uncertainty
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      Sen, Ishita, Umang Khetan, Jane Li, and Ioana Neamtu. "The Market for Sharing Interest Rate Risk: Quantities and Asset Prices." Harvard Business School Working Paper, No. 24-052, February 2024.
      • 2023
      • Working Paper

      Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation

      By: Dae Woong Ham, Michael Lindon, Martin Tingley and Iavor Bojinov
      Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details
      Keywords: Performance Evaluation; Research and Development; Analytics and Data Science; Consumer Behavior
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      Ham, Dae Woong, Michael Lindon, Martin Tingley, and Iavor Bojinov. "Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation." Harvard Business School Working Paper, No. 23-070, May 2023.
      • May 2023
      • Article

      Self-Preferencing at Amazon: Evidence from Search Rankings

      By: Chiara Farronato, Andrey Fradkin and Alexander MacKay
      We study whether Amazon engages in self-preferencing on its marketplace by favoring its own brands (e.g., Amazon Basics) in search. To address this question, we collect new micro-level consumer search data using a custom browser extension installed by a panel of study... View Details
      Keywords: Consumer Behavior; E-commerce; Product Positioning; Brands and Branding
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      Farronato, Chiara, Andrey Fradkin, and Alexander MacKay. "Self-Preferencing at Amazon: Evidence from Search Rankings." AEA Papers and Proceedings 113 (May 2023): 239–243.
      • 2023
      • Working Paper

      Applications or Approvals: What Drives Racial Disparities in the Paycheck Protection Program?

      By: Sergey Chernenko, Nathan Kaplan, Asani Sarkar and David S. Scharfstein
      We use the 2020 Small Business Credit Survey to study the sources of racial disparities in use of the Paycheck Protection Program (PPP). Black-owned firms are 8.9 percentage points less likely than observably similar white-owned firms to receive PPP loans. About 55% of... View Details
      Keywords: Borrowing and Debt; Small Business; Race; Financing and Loans
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      Chernenko, Sergey, Nathan Kaplan, Asani Sarkar, and David S. Scharfstein. "Applications or Approvals: What Drives Racial Disparities in the Paycheck Protection Program?" NBER Working Paper Series, No. 31172, April 2023.
      • 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.
      • February 2023
      • Article

      Homophily and Acrophily as Drivers of Political Segregation

      By: Amit Goldenberg, Joseph M. Abruzzo, Zi Huang, Jonas Schone, David Bailey, Robb Willer, Eran Halperin and James J. Gross
      Political segregation is an important social problem, increasing polarization and impeding effective governance. Previous work has viewed the central driver of segregation to be political homophily, the tendency to associate with others who have similar views. Here we... View Details
      Keywords: Political Affiliation; Extremism; Values and Beliefs; Identity; Groups and Teams; Emotions; Civil Society or Community
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      Goldenberg, Amit, Joseph M. Abruzzo, Zi Huang, Jonas Schone, David Bailey, Robb Willer, Eran Halperin, and James J. Gross. "Homophily and Acrophily as Drivers of Political Segregation." Nature Human Behaviour 7, no. 2 (February 2023): 219–230.
      • 2022
      • Article

      Becoming a Learning Organization While Enhancing Performance: The Case of LEGO

      By: Thomas Borup Kristensen, Henrik Saabye and Amy Edmondson
      Purpose - The purpose of this study is to empirically test how problem-solving lean practices, along with leaders as learning facilitators in an action learning approach, can be transferred from a production context to a knowledge work context for the purpose... View Details
      Keywords: Performance Efficiency; Learning; Organizational Change and Adaptation
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      Kristensen, Thomas Borup, Henrik Saabye, and Amy Edmondson. "Becoming a Learning Organization While Enhancing Performance: The Case of LEGO." International Journal of Operations & Production Management 42, no. 13 (2022): 438–481.
      • December 2022
      • Article

      Fostering Perceptions of Authenticity via Sensitive Self-Disclosure

      By: Li Jiang, Leslie K. John, Reihane Boghrati and Maryam Kouchaki
      Leaders’ perceived authenticity—the sense that leaders are acting in accordance with their “true self”—is associated with positive outcomes for both employees and organizations alike. How might leaders foster this impression? We show that sensitive self-disclosure, in... View Details
      Keywords: Authenticity; Weaknesses; Self-disclosure; Leaders; Impression Management; Leadership Style; Motivation and Incentives
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      Jiang, Li, Leslie K. John, Reihane Boghrati, and Maryam Kouchaki. "Fostering Perceptions of Authenticity via Sensitive Self-Disclosure." Journal of Experimental Psychology: Applied 28, no. 4 (December 2022): 898–915.
      • November 2022
      • Article

      My Boss' Passion Matters as Much as My Own: The Interpersonal Dynamics of Passion Are a Critical Driver of Performance Evaluations

      By: Jon M. Jachimowicz, Andreas Wihler and Adam D. Galinsky
      Companies often celebrate employees who successfully pursue their passion. Academic research suggests that these positive evaluations occur because of the passion percolating inside the employee. We propose that supervisors are also a key piece of this puzzle:... View Details
      Keywords: Passion; Job Performance; Motivation; Emotions; Performance Evaluation; Interpersonal Communication
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      Jachimowicz, Jon M., Andreas Wihler, and Adam D. Galinsky. "My Boss' Passion Matters as Much as My Own: The Interpersonal Dynamics of Passion Are a Critical Driver of Performance Evaluations." Special Issue on Work Passion Research: Taming Breadth and Promoting Depth. Journal of Organizational Behavior 43, no. 9 (November 2022): 1496–1515.
      • 2022
      • Article

      Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations

      By: Jessica Dai, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach and Himabindu Lakkaraju
      As post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to ensure that the quality of the resulting explanations is consistently high across all subgroups of a population. For instance, it... View Details
      Keywords: Prejudice and Bias; Mathematical Methods; Research; Analytics and Data Science
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      Dai, Jessica, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach, and Himabindu Lakkaraju. "Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2022): 203–214.
      • 2022
      • Working Paper

      Product2Vec: Leveraging Representation Learning to Model Consumer Product Choice in Large Assortments

      By: Fanglin Chen, Xiao Liu, Davide Proserpio and Isamar Troncoso
      We propose a method, Product2Vec, based on representation learning, that can automatically learn latent product attributes that drive consumer choices, to study product-level competition when the number of products is large. We demonstrate Product2Vec’s... View Details
      Keywords: Consumer Choice; Consumer Behavior; Competition; Product Marketing
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      Chen, Fanglin, Xiao Liu, Davide Proserpio, and Isamar Troncoso. "Product2Vec: Leveraging Representation Learning to Model Consumer Product Choice in Large Assortments." NYU Stern School of Business Research Paper Series, 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
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      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).
      • 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.)
      • 2022
      • Article

      Social Interactivity in Live Video Experiences Reduces Loneliness

      By: Benjamin T. Kaveladze, Robert R. Morris, Rosa Victoria Dimitrova-Gammeltoft, Amit Goldenberg, James J. Gross, Judd Antin, Melissa Sandgren and Melissa C. Thomas-Hunt
      Background: Loneliness, especially when chronic, can substantially reduce one's quality of life. However, positive social experiences might help to break cycles of loneliness by promoting more prosocial cognitions and behaviors. Internet-mediated live video... View Details
      Keywords: Lonelines; Social Connection; Internet-mediated Communication; Experiment; Emotions; Well-being; Interpersonal Communication; Internet
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      Kaveladze, Benjamin T., Robert R. Morris, Rosa Victoria Dimitrova-Gammeltoft, Amit Goldenberg, James J. Gross, Judd Antin, Melissa Sandgren, and Melissa C. Thomas-Hunt. "Social Interactivity in Live Video Experiences Reduces Loneliness." Frontiers in Digital Health 4:859849 (2022).
      • January 2022
      • Case

      Tomorrow.io Goes to Space

      By: Joshua Lev Krieger, Abhishek Nagaraj and James Barnett
      This case study explores the evolution of Tomorrow.io, a weather forecasting technology company, as it pivoted toward building and launching space-based weather radar satellites. This strategic shift was driven by the company's ambition to overcome data limitations in... View Details
      Keywords: Communication; Competency and Skills; Engineering; Globalization; Innovation and Invention; Performance; Information Technology; Aerospace Industry
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      Krieger, Joshua Lev, Abhishek Nagaraj, and James Barnett. "Tomorrow.io Goes to Space." Harvard Business School Case 822-005, January 2022.
      • 2023
      • Working Paper

      The International Price of Remote Work

      By: Agostina Brinatti, Alberto Cavallo, Javier Cravino and Andres Drenik
      We study how the price of remote work is determined in a globalized labor market using data from a large web-based job platform, where workers from around the world compete for remote jobs. Despite the global nature of the platform, we find that remote wages are higher... View Details
      Keywords: Remote Work; Exchange Rates; Purchasing Power Parity; Offshoring And Outsourcing; Macroeconomics; Developing Countries and Economies; Wages; Trade; Globalization; Marketplace Matching; Currency Exchange Rate; Service Industry; Web Services Industry; Technology Industry
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      Brinatti, Agostina, Alberto Cavallo, Javier Cravino, and Andres Drenik. "The International Price of Remote Work." NBER Working Paper Series, No. 29437, October 2021. (Revised November 2022.)
      • September–October 2021
      • Article

      Frontiers: Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb

      By: Shunyuan Zhang, Nitin Mehta, Param Singh and Kannan Srinivasan
      We study the effect of Airbnb’s smart-pricing algorithm on the racial disparity in the daily revenue earned by Airbnb hosts. Our empirical strategy exploits Airbnb’s introduction of the algorithm and its voluntary adoption by hosts as a quasi-natural experiment. Among... View Details
      Keywords: Smart Pricing; Pricing Algorithm; Machine Bias; Discrimination; Racial Disparity; Social Inequality; Airbnb Revenue; Revenue; Race; Equality and Inequality; Prejudice and Bias; Price; Mathematical Methods; Accommodations Industry
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      Zhang, Shunyuan, Nitin Mehta, Param Singh, and Kannan Srinivasan. "Frontiers: Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb." Marketing Science 40, no. 5 (September–October 2021): 813–820.
      • Fall 2021
      • Article

      When to Go and How to Go? Founder and Leader Transitions in Private Equity Firms

      By: Josh Lerner and Diana Noble
      Leadership transition in private equity firms is an understudied field, despite the important, albeit controversial, role such firms play in developed economies. We analyzed 260 firms in an empirical study, supplemented by qualitative interviews with a small sample of... View Details
      Keywords: Leadership Transition; Private Equity; Leadership; Management Succession; Analysis
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      Lerner, Josh, and Diana Noble. "When to Go and How to Go? Founder and Leader Transitions in Private Equity Firms." Journal of Alternative Investments 24, no. 2 (Fall 2021): 9–30.
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