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Publications

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    • All HBS Web  (1,497)
      • Faculty Publications  (209)

      Randomized Controlled Experiments Remove Randomized Controlled Experiments →

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      • 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
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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).
      • 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).
      • 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.
      • Article

      Do the Right Firms Survive Bankruptcy?

      By: Samuel Antill
      In U.S. Chapter 11 bankruptcy cases, firms are either reorganized, acquired, or liquidated. I show that decisions to liquidate often reduce creditor recovery, costing creditors billions of dollars every year. I exploit the within-district random assignment of...  View Details
      Keywords: Bankruptcy; Bankruptcy Reorganization; Recovery Rate; Structural Estimation; Roy Model; 363 Sales; Insolvency and Bankruptcy; Governing Rules, Regulations, and Reforms
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      Antill, Samuel. "Do the Right Firms Survive Bankruptcy?" Journal of Financial Economics 144, no. 2 (May 2022): 523–546.
      • 2022
      • Working Paper

      Is Hybrid Work the Best of Both Worlds? Evidence from a Field Experiment

      By: Prithwiraj Choudhury, Tarun Khanna, Christos A. Makridis and Kyle Schirmann
      Hybrid work is emerging as a novel form of organizing work globally. This paper reports causal evidence on how the extent of hybrid work—the number of days worked from home relative to days worked from the office—affects work outcomes. Collaborating with an...  View Details
      Keywords: Hybrid Work; Remote Work; Work-from-home; Field Experiment; Employees; Geographic Location; Performance; Work-Life Balance
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      Choudhury, Prithwiraj, Tarun Khanna, Christos A. Makridis, and Kyle Schirmann. "Is Hybrid Work the Best of Both Worlds? Evidence from a Field Experiment." Harvard Business School Working Paper, No. 22-063, March 2022.
      • 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).
      • 2022
      • Working Paper

      Can Evidence-Based Information Shift Preferences Towards Trade Policy?

      By: Laura Alfaro, Maggie X. Chen and Davin Chor
      We investigate the role of evidence-based information in shaping individuals' preferences for trade policies through a series of survey experiments that contain randomized information treatments. Each information treatment provides a concise statement of...  View Details
      Keywords: Evidence; Preference; Trade Policy; Information; Trade; Policy; Attitudes
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      Alfaro, Laura, Maggie X. Chen, and Davin Chor. "Can Evidence-Based Information Shift Preferences Towards Trade Policy?" Harvard Business School Working Paper, No. 22-062, March 2022.
      • 2022
      • Working Paper

      Do Startups Benefit from Their Investors' Reputation? Evidence from a Randomized Field Experiment

      By: Shai Benjamin Bernstein, Kunal Mehta, Richard Townsend and Ting Xu
      We analyze a field experiment conducted on AngelList Talent, a large online search platform for startup jobs. In the experiment, AngelList randomly informed job seekers of whether a startup was funded by a top-tier investor and/or was funded recently. We find that the...  View Details
      Keywords: Startup Labor Market; Investors; Randomized Field Experiment; Certification Effect; Venture Capital; Business Startups; Human Capital; Job Search; Reputation
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      Bernstein, Shai Benjamin, Kunal Mehta, Richard Townsend, and Ting Xu. "Do Startups Benefit from Their Investors' Reputation? Evidence from a Randomized Field Experiment." Harvard Business School Working Paper, No. 22-060, February 2022.
      • Article

      Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)

      By: Eva Ascarza and Ayelet Israeli

      An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”...  View Details

      Keywords: Algorithm Bias; Personalization; Targeting; Generalized Random Forests (GRF); Discrimination; Customization and Personalization; Decision Making; Fairness; Mathematical Methods
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      Ascarza, Eva, and Ayelet Israeli. "Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)." e2115126119. Proceedings of the National Academy of Sciences 119, no. 11 (March 8, 2022).
      • March 2022
      • Article

      Sensitivity Analysis of Agent-based Models: A New Protocol

      By: Emanuele Borgonovo, Marco Pangallo, Jan Rivkin, Leonardo Rizzo and Nicolaj Siggelkow
      Agent-based models (ABMs) are increasingly used in the management sciences. Though useful, ABMs are often critiqued: it is hard to discern why they produce the results they do and whether other assumptions would yield similar results. To help researchers address such...  View Details
      Keywords: Agent-based Modeling; Sensitivity Analysis; Design Of Experiments; Total Order Sensitivity Indices; Organizations; Behavior; Decision Making; Mathematical Methods
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      Borgonovo, Emanuele, Marco Pangallo, Jan Rivkin, Leonardo Rizzo, and Nicolaj Siggelkow. "Sensitivity Analysis of Agent-based Models: A New Protocol." Computational and Mathematical Organization Theory 28, no. 1 (March 2022): 52–94.
      • February 15, 2022
      • Article

      How Managers Can Build a Culture of Experimentation

      By: Frank V. Cespedes and Neil Hoyne
      Testing in business presents qualitatively different challenges than those in clinical trials and most scientific research. There are very few opportunities for randomized control experiments in a changing, competitive market. Yet, change and competition make testing a...  View Details
      Keywords: Experimentation; Management; Decision Making
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      Cespedes, Frank V., and Neil Hoyne. "How Managers Can Build a Culture of Experimentation." Harvard Business Review Digital Articles (February 15, 2022).
      • 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
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      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).
      • January–February 2022
      • Article

      Operational Disruptions, Firm Risk, and Control Systems

      By: William Schmidt and Ananth Raman
      Operational disruptions can impact a firm's risk, which manifests in a host of operational issues, including a higher holding cost for inventory, a higher financing cost for capacity expansion, and a higher perception of the firm's risk among its supply chain partners....  View Details
      Keywords: Operational Risk; Operational Disruptions; Information Asymmetry; Control Systems; Operations; Disruption; Risk Management
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      Schmidt, William, and Ananth Raman. "Operational Disruptions, Firm Risk, and Control Systems." Manufacturing & Service Operations Management 24, no. 1 (January–February 2022): 411–429.
      • 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
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      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.
      • 2021
      • Working Paper

      Alleviating Time Poverty among the Working Poor

      By: Ashley 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 field experiment over six consecutive weeks in an urban slum in Kenya with a sample of...  View Details
      Keywords: Time-saving Services; Subjective Well-being; Time Use; Cash Transfers; Poverty; Time Management; Well-being
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      Whillans, Ashley, and Colin West. "Alleviating Time Poverty among the Working Poor." Harvard Business School Working Paper, No. 22-032, November 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
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      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.
      • Article

      Using Fresh Starts to Nudge Increased Retirement Savings

      By: John Beshears, Hengchen Dai, Katherine L. Milkman and Shlomo Benartzi
      We conducted a field experiment to study the effect of framing future moments in time as new beginnings (or “fresh starts”). University employees (N=6,082) received mailings with an opportunity to choose between increasing their contributions to a savings plan...  View Details
      Keywords: Choice Architecture; Randomized Field Experiment; Savings; New Beginning; Fresh Start; Saving; Retirement; Behavior
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      Beshears, John, Hengchen Dai, Katherine L. Milkman, and Shlomo Benartzi. "Using Fresh Starts to Nudge Increased Retirement Savings." Organizational Behavior and Human Decision Processes 167 (November 2021): 72–87.
      • 2021
      • Working Paper

      Who Benefits from Online Gig Economy Platforms?

      By: Christopher Stanton and Catherine Thomas
      This paper estimates the magnitude and distribution of surplus from the knowledge worker gig economy using data from an online labor market. Labor demand elasticities determine workers’ wages, and buyers’ past market experience shapes both their job posting frequency...  View Details
      Keywords: Gig Economy; Knowledge Workers; Online Platforms; Employment; Internet and the Web; Governing Rules, Regulations, and Reforms; Wages
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      Stanton, Christopher, and Catherine Thomas. "Who Benefits from Online Gig Economy Platforms?" NBER Working Paper Series, No. 29477, November 2021.
      • 2021
      • Working Paper

      Increasing the Demand for Workers with a Criminal Record

      By: Zoë B. Cullen, Will Dobbie and Mitchell Hoffman
      State and local policies increasingly restrict employers’ access to criminal records, but without addressing the underlying reasons that employers may conduct criminal background checks. Employers may thus still want to ask about a job applicant’s criminal record...  View Details
      Keywords: Criminal Record; Hiring; Job Search; Selection and Staffing; Laws and Statutes; United States
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      Cullen, Zoë B., Will Dobbie, and Mitchell Hoffman. "Increasing the Demand for Workers with a Criminal Record." Harvard Business School Working Paper, No. 22-023, September 2021. (Revise and Resubmit at The Quarterly Journal of Economics.)
      • October 2021
      • Article

      Changing Gambling Behavior through Experiential Learning

      By: Shawn A. Cole, Martin Abel and Bilal Zia
      This paper tests experiential learning as a debiasing tool to reduce gambling in South Africa, through a randomized field experiment. The study implements a simple, interactive game that simulates the odds of winning the national lottery through dice rolling....  View Details
      Keywords: Debiasing; Experiential Learning; Behavioral Economics; Financial Education; Learning; Games, Gaming, and Gambling; Behavior; Decision Making
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      Cole, Shawn A., Martin Abel, and Bilal Zia. "Changing Gambling Behavior through Experiential Learning." World Bank Economic Review 35, no. 3 (October 2021): 745–763.
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