Skip to Main Content
HBS Home
  • About
  • Academic Programs
  • Alumni
  • Faculty & Research
  • Baker Library
  • Giving
  • Harvard Business Review
  • Initiatives
  • News
  • Recruit
  • Map / Directions
Working Knowledge
Business Research for Business Leaders
  • Browse All Articles
  • Popular Articles
  • Cold Call Podcasts
  • About Us
  • Leadership
  • Marketing
  • Finance
  • Management
  • Entrepreneurship
  • All Topics...
  • Topics
    • COVID-19
    • Entrepreneurship
    • Finance
    • Gender
    • Globalization
    • Leadership
    • Management
    • Negotiation
    • Social Enterprise
    • Strategy
  • Sections
    • Book
    • Cold Call Podcast
    • HBS Case
    • In Practice
    • Lessons from the Classroom
    • Op-Ed
    • Research & Ideas
    • Research Event
    • Sharpening Your Skills
    • What Do You Think?
    • Working Paper Summaries
  • Browse All
    • COVID-19 Business Impact Center
      COVID-19 Business Impact Center
      Competition in Pricing Algorithms
      03 Feb 2020Working Paper Summaries

      Competition in Pricing Algorithms

      by Zach Y. Brown and Alexander MacKay
      The adoption of pricing technology can lead to higher prices, by increasing the frequency of price changes and/or encoding pricing strategies in algorithms. This raises new antitrust questions for policymakers, as firms do not need to coordinate or collude to raise prices.
      LinkedIn
      Email

      Author Abstract

      Increasingly, retailers have access to better pricing technology, especially in online markets. Through pricing algorithms, firms can automate their response to rivals’ prices. What are the implications for price competition? We develop a model in which firms choose algorithms, rather than prices. Even with simple (i.e., linear) algorithms, competitive equilibria can have higher prices than in the standard simultaneous Bertrand pricing game. Using hourly prices of over-the-counter drugs from five major online retailers, we document evidence that these retailers possess different pricing technologies. In addition, we find pricing patterns consistent with competition in pricing algorithms. A simple calibration of the model suggests that pricing algorithms lead to meaningful increases in markups, especially for firms with superior pricing technology.

      Paper Information

      • Full Working Paper Text
      • Working Paper Publication Date: November 2019
      • HBS Working Paper Number: HBS Working Paper #20-067
      • Faculty Unit(s): Strategy
        Trending
          • 08 Mar 2021
          • In Practice

          COVID Killed the Traditional Workplace. What Should Companies Do Now?

          • 25 Feb 2019
          • Research & Ideas

          How Gender Stereotypes Kill a Woman’s Self-Confidence

          • 17 May 2017
          • Research & Ideas

          Minorities Who 'Whiten' Job Resumes Get More Interviews

          • 07 Apr 2021
          • Research & Ideas

          How Teams Work: Lessons from the Pandemic

          • 02 Apr 2021
          • Research & Ideas

          Salary Negotiations: A Catch-22 for Women

      Alexander J. MacKay
      Alexander J. MacKay
      Assistant Professor of Business Administration
      Contact
      Send an email
      → More Articles
      Find Related Articles
      • Price
      • Governing Rules, Regulations, and Reforms

      Sign up for our weekly newsletter

      Interested in improving your business? Learn about fresh research and ideas from Harvard Business School faculty.
      ǁ
      Campus Map
      Harvard Business School Working Knowledge
      Baker Library | Bloomberg Center
      Soldiers Field
      Boston, MA 02163
      Email: Editor-in-Chief
      →Map & Directions
      →More Contact Information
      • Make a Gift
      • Site Map
      • Jobs
      • Harvard University
      • Trademarks
      • Policies
      • Digital Accessibility
      Copyright © President & Fellows of Harvard College