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Publications

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  • All HBS Web  (62)
    • Faculty Publications  (5)

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    • All HBS Web  (62)
      • Faculty Publications  (5)

      Causation Vs. CorrelationRemove Causation Vs. Correlation →

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      • September–October 2024
      • Article

      Where Data-Driven Decision-Making Can Go Wrong

      By: Michael Luca and Amy C. Edmondson
      When considering internal data or the results of a study, often business leaders either take the evidence presented as gospel or dismiss it altogether. Both approaches are misguided. What leaders need to do instead is conduct rigorous discussions that assess any... View Details
      Keywords: Information; Analytics and Data Science; Analysis; Decision Making
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      Luca, Michael, and Amy C. Edmondson. "Where Data-Driven Decision-Making Can Go Wrong." Harvard Business Review 102, no. 5 (September–October 2024): 80–89.
      • 2018
      • Working Paper

      Channeled Attention and Stable Errors -- Previous Working Version

      By: Tristan Gagnon-Bartsch, Matthew Rabin and Joshua Schwartzstein
      A common critique of models of mistaken beliefs is that people should recognize their error after observations they thought were unlikely. This paper develops a framework for assessing when a given error is likely to be discovered, in the sense that the error-maker... View Details
      Keywords: Perception; Behavior; Theory; Situation or Environment
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      Gagnon-Bartsch, Tristan, Matthew Rabin, and Joshua Schwartzstein. "Channeled Attention and Stable Errors -- Previous Working Version." Harvard Business School Working Paper, No. 18-108, June 2018.
      • August 2015 (Revised January 2017)
      • Technical Note

      From Correlation to Causation

      By: Feng Zhu and Karim R. Lakhani
      To make sound business decisions, managers must be comfortable with the concepts of correlation and causation. This background note provides an overview of correlation and causation using examples and explains why the former does not imply the latter. It also describes... View Details
      Keywords: Statistics; Regression; Data Analytics; Decisions; Forecasting and Prediction; Judgments
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      Zhu, Feng, and Karim R. Lakhani. "From Correlation to Causation." Harvard Business School Technical Note 616-009, August 2015. (Revised January 2017.)
      • 15 Feb 2014
      • Conference Presentation

      Men as Cultural Ideals: How Culture Shapes Gender Stereotypes

      By: Amy Cuddy, Elizabeth Baily Wolf, Peter Glick and Michael I. Norton
      Four studies test whether cultural values moderate the content of gender stereotypes, such that male stereotypes more closely align with core cultural values (specifically, individualism vs. collectivism) than do female stereotypes. In Studies 1 and 2, using different... View Details
      Keywords: Stereotypes; Gender; United States; South Korea
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      Cuddy, Amy, Elizabeth Baily Wolf, Peter Glick, and Michael I. Norton. "Men as Cultural Ideals: How Culture Shapes Gender Stereotypes." Paper presented at the 15th Society for Personality and Social Psychology Annual Meeting, Austin, TX, February 15, 2014.
      • 2011
      • Working Paper

      What Do CEOs Do?

      By: Oriana Bandiera, Luigi Guiso, Andrea Prat and Raffaella Sadun
      We develop a methodology to collect and analyze data on CEOs' time use. The idea-sketched out in a simple theoretical set-up-is that CEO time is a scarce resource and its allocation can help us identify the firm's priorities as well as the presence of governance... View Details
      Keywords: Corporate Governance; Employee Relationship Management; Managerial Roles; Time Management; Performance Productivity; Italy
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      Bandiera, Oriana, Luigi Guiso, Andrea Prat, and Raffaella Sadun. "What Do CEOs Do?" Harvard Business School Working Paper, No. 11-081, February 2011. (Media: The Economist, May 5th 2011.)
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