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  • All HBS Web  (77)
    • Faculty Publications  (30)

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    • All HBS Web  (77)
      • Faculty Publications  (30)

      Causal InferenceRemove Causal Inference →

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      • Article

      Optimality Bias in Moral Judgment

      By: Julian De Freitas and Samuel G.B. Johnson
      We often make decisions with incomplete knowledge of their consequences. Might people nonetheless expect others to make optimal choices, despite this ignorance? Here, we show that people are sensitive to moral optimality: that people hold moral agents accountable... View Details
      Keywords: Moral Judgment; Lay Decision Theory; Theory Of Mind; Causal Attribution; Moral Sensibility; Decision Making
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      De Freitas, Julian, and Samuel G.B. Johnson. "Optimality Bias in Moral Judgment." Journal of Experimental Social Psychology 79 (November 2018): 149–163.
      • 2023
      • Working Paper

      Efficient Discovery of Heterogeneous Quantile Treatment Effects in Randomized Experiments via Anomalous Pattern Detection

      By: Edward McFowland III, Sriram Somanchi and Daniel B. Neill
      In the recent literature on estimating heterogeneous treatment effects, each proposed method makes its own set of restrictive assumptions about the intervention’s effects and which subpopulations to explicitly estimate. Moreover, the majority of the literature provides... View Details
      Keywords: Causal Inference; Program Evaluation; Algorithms; Distributional Average Treatment Effect; Treatment Effect Subset Scan; Heterogeneous Treatment Effects
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      McFowland III, Edward, Sriram Somanchi, and Daniel B. Neill. "Efficient Discovery of Heterogeneous Quantile Treatment Effects in Randomized Experiments via Anomalous Pattern Detection." Working Paper, 2023.
      • Article

      Your Visual System Provides All the Information You Need to Make Moral Judgments about Generic Visual Events

      By: Julian De Freitas and George A. Alvarez
      To what extent are people's moral judgments susceptible to subtle factors of which they are unaware? Here we show that we can change people’s moral judgments outside of their awareness by subtly biasing perceived causality. Specifically, we used subtle visual... View Details
      Keywords: Moral Judgment; Perceived Causality; Visual Illusions; Moral Sensibility; Judgments
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      De Freitas, Julian, and George A. Alvarez. "Your Visual System Provides All the Information You Need to Make Moral Judgments about Generic Visual Events." Cognition 178 (September 2018): 133–146.
      • December 2017
      • Article

      Discordant vs. Harmonious Selves: The Effects of Identity Conflict and Enhancement on Sales Performance in Employee-Customer Interactions

      By: Lakshmi Ramarajan, Nancy Rothbard and Steffanie Wilk
      Across multiple studies, we examine how identity conflict and enhancement within people affect performance in tasks that involve interactions between people through two mechanisms: role-immersion, operationalized as intrinsic motivation, and role-taking,... View Details
      Keywords: Identity; Interpersonal Communication; Sales; Performance
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      Ramarajan, Lakshmi, Nancy Rothbard, and Steffanie Wilk. "Discordant vs. Harmonious Selves: The Effects of Identity Conflict and Enhancement on Sales Performance in Employee-Customer Interactions." Academy of Management Journal 60, no. 6 (December 2017): 2208–2238.
      • March 2016 (Revised March 2022)
      • Teaching Note

      Evive Health and Workplace Influenza Vaccinations

      By: John Beshears
      Evive Health is a company that manages communication campaigns on behalf of health insurance plans and large employers. Using big data techniques and insights from behavioral economics, Evive deploys targeted and effective messages that improve individuals' health... View Details
      Keywords: Vaccination; Influenza; Flu Shot; Preventive Care; Health Care; Behavioral Economics; Choice Architecture; Nudge; Experimental Design; Randomized Controlled Trial; RCT; Causal Inference; Health Care and Treatment; Insurance; Health; Consumer Behavior; Health Testing and Trials; Communication Strategy; Insurance Industry; Health Industry
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      Beshears, John. "Evive Health and Workplace Influenza Vaccinations." Harvard Business School Teaching Note 916-049, March 2016. (Revised March 2022.)
      • March 2016
      • Case

      Evive Health and Workplace Influenza Vaccinations

      By: John Beshears
      Evive Health is a company that manages communication campaigns on behalf of health insurance plans and large employers. Using big data techniques and insights from behavioral economics, Evive deploys targeted and effective messages that improve individuals' health... View Details
      Keywords: Vaccination; Influenza; Flu Shot; Preventive Care; Health Care; Behavioral Economics; Choice Architecture; Nudge; Experimental Design; Randomized Controlled Trial; RCT; Causal Inference; Consumer Behavior; Health Care and Treatment; Health Testing and Trials; Communication Strategy; Health Industry
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      Beshears, John. "Evive Health and Workplace Influenza Vaccinations." Harvard Business School Case 916-044, March 2016.
      • June 2012
      • Article

      Consequence-Cause Matching: Looking to the Consequences of Events to Infer Their Causes

      By: Robyn A. LeBoeuf and Michael I. Norton
      We show that people non-normatively infer event causes from event consequences. For example, people inferred that a product failure (computer crash) had a large cause (widespread computer virus) if it had a large consequence (job loss), but that the identical failure... View Details
      Keywords: Causal Inference; Product; Forecasting and Prediction; Motivation and Incentives; Failure
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      LeBoeuf, Robyn A., and Michael I. Norton. "Consequence-Cause Matching: Looking to the Consequences of Events to Infer Their Causes." Journal of Consumer Research 39, no. 1 (June 2012): 128–141.
      • February 1994
      • Background Note

      Causal Inference

      By: Arthur Schleifer Jr.
      Discusses what causation is and what one can (and cannot) learn about causation from observational (nonexperimental) data. View Details
      Keywords: Decision Making; Analytics and Data Science; Interests
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      Schleifer, Arthur, Jr. "Causal Inference." Harvard Business School Background Note 894-032, February 1994.
      • Research Summary

      Overview

      By: Eva Ascarza
      Professor Ascarza’s research primarily focuses on providing researchers and marketers a better understanding of how to manage customer retention so as to reduce churn and increase firm’s profitability. She addresses these issues by building empirical models of customer... View Details
      Keywords: Customer Retention; Churn; Field Experiments
      • Research Summary

      Overview

      By: Ashley V. Whillans
      Engaged with field work in East Africa, South Asia, and in several large hybrid organizations in the United States, Professor Whillans places a focus on exploring questions with strong theoretical motivation in the social psychological literature and relevant... View Details
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