Name File Type Size Last Modified
  code 04/27/2023 08:57:AM
  data 04/26/2023 11:05:AM
  logs 04/26/2023 11:01:AM
  output 04/25/2023 04:57:PM
LICENSE.txt text/plain 15.6 KB 04/25/2023 12:57:PM
README.md text/x-web-markdown 8.4 KB 04/25/2023 12:57:PM
README.pdf application/pdf 141.5 KB 04/25/2023 12:57:PM

Project Citation: 

Farronato, Chiara, Fradkin, Andrey, and MacKay, Alexander. Data and Code for: Self-Preferencing at Amazon: Evidence from Search Rankings. Nashville, TN: American Economic Association [publisher], 2023. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-05-22. https://doi.org/10.3886/E189942V1

Project Description

Summary:  View help for Summary We study whether Amazon engages in self-preferencing on its marketplace by favoring its own brands (e.g., Amazon Basics) in search. To address this question, we collect new micro-level consumer search data using a custom browser extension installed by a panel of study participants. Using this methodology, we observe search positions, search behavior, and product characteristics. We find that Amazon branded products are indeed ranked higher than observably similar products in consumer search results. The prominence given to Amazon brands is 30% to 60% of the prominence granted to sponsored products.

Scope of Project

Subject Terms:  View help for Subject Terms Self-preferencing; e-commerce; digital platforms; antitrust; vertical integration
JEL Classification:  View help for JEL Classification
      D12 Consumer Economics: Empirical Analysis
      D83 Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
      L13 Oligopoly and Other Imperfect Markets
      L15 Information and Product Quality; Standardization and Compatibility
      L81 Retail and Wholesale Trade; e-Commerce
Geographic Coverage:  View help for Geographic Coverage United States
Time Period(s):  View help for Time Period(s) 6/2022 – 1/2023


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