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Publications

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      • 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

      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
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      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.
      • March 2022
      • Article

      Learning to Rank an Assortment of Products

      By: Kris Ferreira, Sunanda Parthasarathy and Shreyas Sekar
      We consider the product ranking challenge that online retailers face when their customers typically behave as “window shoppers”: they form an impression of the assortment after browsing products ranked in the initial positions and then decide whether to continue...  View Details
      Keywords: Online Learning; Product Ranking; Assortment Optimization; E-commerce; Learning; Online Technology; Product Marketing; Consumer Behavior
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      Ferreira, Kris, Sunanda Parthasarathy, and Shreyas Sekar. "Learning to Rank an Assortment of Products." Management Science 68, no. 3 (March 2022): 1828–1848.
      • December 2021
      • Article

      Seeing Oneself as a Valued Contributor: Social Worth Affirmation Improves Team Information Sharing

      By: Julia Lee Cunningham, Francesca Gino, Dan Cable and Bradley Staats
      Teams often fail to reach their potential because members’ concerns about being socially accepted prevent them from offering their unique perspectives to the team. Drawing on relational self and self-affirmation theory, we argue that affirmation of team members’ social...  View Details
      Keywords: Social Worth Affirmation; Relational Identity; Self-affirmation; Information Sharing In Teams; Concerns About Social Acceptance; Groups and Teams; Identity; Relationships; Knowledge Sharing
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      Cunningham, Julia Lee, Francesca Gino, Dan Cable, and Bradley Staats. "Seeing Oneself as a Valued Contributor: Social Worth Affirmation Improves Team Information Sharing." Academy of Management Journal 64, no. 6 (December 2021): 1816–1841.
      • 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.
      • August 2021
      • Article

      Multiple Imputation Using Gaussian Copulas

      By: F.M. Hollenbach, I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward and A. Volfovsky
      Missing observations are pervasive throughout empirical research, especially in the social sciences. Despite multiple approaches to dealing adequately with missing data, many scholars still fail to address this vital issue. In this paper, we present a simple-to-use...  View Details
      Keywords: Missing Data; Bayesian Statistics; Imputation; Categorical Data; Estimation
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      Hollenbach, F.M., I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward, and A. Volfovsky. "Multiple Imputation Using Gaussian Copulas." Special Issue on New Quantitative Approaches to Studying Social Inequality. Sociological Methods & Research 50, no. 3 (August 2021): 1259–1283. (0049124118799381.)
      • Article

      Joy and Rigor in Behavioral Science

      By: Hanne K. Collins, Ashley V. Whillans and Leslie K. John
      In the past decade, behavioral science has seen the introduction of beneficial reforms to reduce false positive results. Serving as the motivational backdrop for the present research, we wondered whether these reforms might have unintended negative consequences on...  View Details
      Keywords: Open Science; Pre-registration; Exploration; Confirmation; False Positives; Career Satisfaction; Science; Research; Personal Development and Career; Satisfaction; Diversity
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      Collins, Hanne K., Ashley V. Whillans, and Leslie K. John. "Joy and Rigor in Behavioral Science." Organizational Behavior and Human Decision Processes 164 (May 2021): 179–191.
      • May 2021
      • Article

      Value-Based Healthcare in Urology: A Collaborative Review

      By: Chanan Reitblat, Paul A. Bain, Michael E. Porter, David N. Bernstein, Thomas W. Feeley, Markus Graefen, Santosh Iyer, Matthew J. Resnick, C.J. Stimson, Quoc-Dien Trinh and Boris Gershman
      Context:
      In response to growing concerns over rising costs and major variation in quality, improving value for patients has been proposed as a fundamentally new strategy for how healthcare should be delivered, measured, and...  View Details
      Keywords: Value-based Healthcare; Integrated Practice Units; Outcome Measurement; Time-Driven Activity-Based Costing; Health Care and Treatment; Value; Cost Management; Strategy; Outcome or Result; Measurement and Metrics
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      Reitblat, Chanan, Paul A. Bain, Michael E. Porter, David N. Bernstein, Thomas W. Feeley, Markus Graefen, Santosh Iyer, Matthew J. Resnick, C.J. Stimson, Quoc-Dien Trinh, and Boris Gershman. "Value-Based Healthcare in Urology: A Collaborative Review." European Urology 79, no. 5 (May 2021): 571–585.
      • 2021
      • Working Paper

      Absenteeism, Productivity, and Relational Contracts Inside the Firm

      By: Achyuta Adhvaryu, Jean-François Gauthier, Anant Nyshadham and Jorge Tamayo
      We study relational contracts among managers using a unique dataset that tracks transfers of workers across teams in Indian ready-made garment factories. We focus on how relational contracts help managers cope with worker absenteeism shocks, which are frequent, often...  View Details
      Keywords: Implicit Contracts; Productivity; Misallocation; Absenteeism; Supervisors; Readymade Garments; Contracts; Relationships; Management; Employees; Behavior; Performance Productivity; Apparel and Accessories Industry; India
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      Adhvaryu, Achyuta, Jean-François Gauthier, Anant Nyshadham, and Jorge Tamayo. "Absenteeism, Productivity, and Relational Contracts Inside the Firm." Harvard Business School Working Paper, No. 21-109, March 2021.
      • 2021
      • Article

      Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring

      By: Tom Sühr, Sophie Hilgard and Himabindu Lakkaraju
      Ranking algorithms are being widely employed in various online hiring platforms including LinkedIn, TaskRabbit, and Fiverr. Prior research has demonstrated that ranking algorithms employed by these platforms are prone to a variety of undesirable biases, leading to the...  View Details
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      Sühr, Tom, Sophie Hilgard, and Himabindu Lakkaraju. "Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society 4th (2021).
      • February 2021
      • Technical Note

      Probability Distributions

      By: Michael Parzen and Paul J. Hamilton
      This technical note introduces students to the concept of random variables, and from there the normal and binomial distributions. After a brief introduction to random variables, the note describes the standard properties of the normal distribution: a single peak, and a...  View Details
      Keywords: Analysis; Risk and Uncertainty; Theory
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      Parzen, Michael, and Paul J. Hamilton. "Probability Distributions." Harvard Business School Technical Note 621-704, February 2021.
      • 2021
      • Working Paper

      Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

      By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
      Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed...  View Details
      Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; Analysis; Theory; Measurement and Metrics; Performance Consistency
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      Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." Working Paper, 2021. (3rd Round Revision.)
      • January 2021
      • Case

      The FIRE Savings Calculator

      By: Michael Parzen and Paul J. Hamilton
      This case follows Carol Muñoz, a member of the Financial Independence, Retire Early (FIRE) lifestyle movement. At the age of 45, Carol is considering retiring and living off the $1 million she has accumulated. Using Monte Carlo simulation, Carol forecasts the...  View Details
      Keywords: Analysis; Forecasting and Prediction; Financial Strategy; Investment Portfolio; Investment Return; Personal Finance; Saving; Risk and Uncertainty; Diversification; Theory; Financial Services Industry
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      Parzen, Michael, and Paul J. Hamilton. "The FIRE Savings Calculator." Harvard Business School Case 621-087, January 2021.
      • Winter 2021
      • Editorial

      Introduction

      By: Michael A. Wheeler
      This issue of Negotiation Journal is dedicated to the theme of artificial intelligence, technology, and negotiation. It arose from a Program on Negotiation (PON) working conference on that important topic held virtually on May 17–18. The conference was not the...  View Details
      Keywords: Artificial Intelligence; Information Technology; Negotiation; AI and Machine Learning
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      Wheeler, Michael A. "Introduction." Special Issue on Artificial Intelligence, Technology, and Negotiation. Negotiation Journal 37, no. 1 (Winter 2021): 5–12.
      • November 2020
      • Article

      Taxation in Matching Markets

      By: Arnaud Dupuy, Alfred Galichon, Sonia Jaffe and Scott Duke Kominers
      We analyze the effects of taxation in two-sided matching markets, i.e., markets in which all agents have heterogeneous preferences over potential partners. In matching markets, taxes can generate inefficiency on the allocative margin by changing who is matched to whom,...  View Details
      Keywords: Matching Markets; Labor Markets; Taxation; Labor; Markets
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      Dupuy, Arnaud, Alfred Galichon, Sonia Jaffe, and Scott Duke Kominers. "Taxation in Matching Markets." International Economic Review 61, no. 4 (November 2020): 1591–1634.
      • 2020
      • Working Paper

      (When) Does Appearance Matter? Evidence from a Randomized Controlled Trial

      By: Prithwiraj Choudhury, Tarun Khanna, Christos A. Makridis and Subhradip Sarker
      While there is evidence about labor market discrimination based on race, religion, and gender, we know little about whether physical appearance leads to discrimination in labor market outcomes. We deploy a randomized experiment on 1,000 respondents in India between...  View Details
      Keywords: Behavioral Economics; Coronavirus; Discrimination; Homophily; Labor Market Mobility; Limited Attention; Resumes; Personal Characteristics; Prejudice and Bias
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      Choudhury, Prithwiraj, Tarun Khanna, Christos A. Makridis, and Subhradip Sarker. "(When) Does Appearance Matter? Evidence from a Randomized Controlled Trial." Harvard Business School Working Paper, No. 21-038, September 2020.
      • May 2020
      • Article

      Negotiating a Better Future: How Interpersonal Skills Facilitate Inter-Generational Investment

      By: Nava Ashraf, Natalie Bau, Corinne Low and Kathleen McGinn
      Using a randomized control trial, we examine whether offering adolescent girls nonmaterial resources—specifically, negotiation skills—can improve educational outcomes in a low-income country. In so doing, we provide the first evidence on the effects of an intervention...  View Details
      Keywords: Negotiation; Competency and Skills; Training; Age; Gender; Education; Investment; Outcome or Result; Developing Countries and Economies
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      Ashraf, Nava, Natalie Bau, Corinne Low, and Kathleen McGinn. "Negotiating a Better Future: How Interpersonal Skills Facilitate Inter-Generational Investment." Quarterly Journal of Economics 135, no. 2 (May 2020): 1095–1151.
      • January 2020
      • Supplement

      Platform Strategy Simulation Exercise

      By: Feng Zhu
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      Zhu, Feng. "Platform Strategy Simulation Exercise." Harvard Business School PowerPoint Supplement 620-710, January 2020.
      • January 2020
      • Exercise

      Platform Strategy Simulation Exercise Instructions

      By: Feng Zhu
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      Zhu, Feng. "Platform Strategy Simulation Exercise Instructions." Harvard Business School Exercise 620-077, January 2020.
      • January 2020 (Revised March 2020)
      • Teaching Note

      Platform Strategy Simulation Exercise Teaching Note

      By: Feng Zhu
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      Zhu, Feng. "Platform Strategy Simulation Exercise Teaching Note." Harvard Business School Teaching Note 620-082, January 2020. (Revised March 2020.)
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