Skip to Main Content
HBS Home
  • About
  • Academic Programs
  • Alumni
  • Faculty & Research
  • Baker Library
  • Giving
  • Harvard Business Review
  • Initiatives
  • News
  • Recruit
  • Map / Directions
Faculty & Research
  • Faculty
  • Research
  • Featured Topics
  • Academic Units
  • …→
  • Harvard Business School→
  • Faculty & Research→
  • Research
    • Research
    • Publications
    • Global Research Centers
    • Case Development
    • Initiatives & Projects
    • Research Services
    • Seminars & Conferences
    →
  • Publications→

Publications

Publications

Filter Results: (4) Arrow Down
Filter Results: (4) Arrow Down Arrow Up

Show Results For

  • All HBS Web  (11)
    • Faculty Publications  (4)

    Show Results For

    • All HBS Web  (11)
      • Faculty Publications  (4)

      Statistical InterferencesRemove Statistical Interferences →

      Page 1 of 4 Results

      Are you looking for?

      →Search All HBS Web
      • 2024
      • Working Paper

      Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python

      By: Melissa Ouellet and Michael W. Toffel
      This paper describes a range of best practices to compile and analyze datasets, and includes some examples in Stata, R, and Python. It is meant to serve as a reference for those getting started in econometrics, and especially those seeking to conduct data analyses in... View Details
      Keywords: Empirical Methods; Empirical Operations; Statistical Methods And Machine Learning; Statistical Interferences; Research Analysts; Analytics and Data Science; Mathematical Methods
      Citation
      SSRN
      Read Now
      Related
      Ouellet, Melissa, and Michael W. Toffel. "Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python." Harvard Business School Working Paper, No. 25-010, August 2024.
      • 2022
      • Working Paper

      Stories, Statistics and Memory

      By: Thomas Graeber, Christopher Roth and Florian Zimmermann
      For most decisions, we rely on information encountered over the course of days, months or years. We consume this information in various forms, including abstract summaries of multiple data points – statistics – and contextualized anecdotes about individual instances... View Details
      Keywords: Decision Choices and Conditions; Information Types; Media; Cognition and Thinking
      Citation
      Read Now
      Related
      Graeber, Thomas, Christopher Roth, and Florian Zimmermann. "Stories, Statistics and Memory." Working Paper, December 2022.
      • Article

      Memory and Representativeness

      By: Pedro Bordalo, Katherine Baldiga Coffman, Nicola Gennaioli, Frederik Schwerter and Andrei Shleifer
      We explore the idea that judgment by representativeness reflects the workings of episodic memory, especially interference. In a new laboratory experiment on cued recall, participants are shown two groups of images with different distributions of colors. We find that i)... View Details
      Keywords: Cued Recall; Interference; Similarity; Probabilistic Judgments; Heuristics And Biases
      Citation
      Find at Harvard
      Read Now
      Related
      Bordalo, Pedro, Katherine Baldiga Coffman, Nicola Gennaioli, Frederik Schwerter, and Andrei Shleifer. "Memory and Representativeness." Psychological Review 128, no. 1 (January 2021): 71–85.
      • Research Summary

      Overview

      By: Iavor I. Bojinov
      Over the last decade, technology companies like Amazon, Google, and Netflix have pioneered data-driven research and development processes centered on massive experimentation. However, as companies increase the breadth and scale of their experiments to millions of... View Details
      • 1

      Are you looking for?

      →Search All HBS Web
      ǁ
      Campus Map
      Harvard Business School
      Soldiers Field
      Boston, MA 02163
      →Map & Directions
      →More Contact Information
      • Make a Gift
      • Site Map
      • Jobs
      • Harvard University
      • Trademarks
      • Policies
      • Accessibility
      • Digital Accessibility
      Copyright © President & Fellows of Harvard College.