A Simple Economics of Platform Self-Preferencing

Dong-Ju Kim & Jeong-Yoo Kim

The Review of Network Economics2025https://doi.org/10.1515/rne-2024-0085article
AJG 2ABDC B
Weight
0.37

What the paper says

Abstract In this paper, we consider a platform that sells both the first-party product and the third-party product. The product recommendation of such a platform is interpreted as cheap talk, because it is unbinding and costless. We show that if the consumer has the outside option to exit from the platform, there exists a partially revealing communicative equilibrium in which the platform makes a biased recommendation with some positive probability while the consumer follows the platform’s self-referencing recommendation with some probability and takes the outside option to exit from the platform with the remaining probability. In this equilibrium, self-preferencing occurs. Thus, the consumer’s exit option is essential to this self-preferencing equilibrium. We also show that both the platform and the consumer are made better off in this partially revealing self-preferencing equilibrium than in an uninformative equilibrium or without using the search engine. We also extend our arguments to the Hotelling model with consumers’ exit option and draw an interesting policy implication that if a platform’s commission fee is regulated, it can increase the platform’s self-preferencing bias.

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https://doi.org/https://doi.org/10.1515/rne-2024-0085

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@article{dong-ju2025,
  title        = {{A Simple Economics of Platform Self-Preferencing}},
  author       = {Dong-Ju Kim & Jeong-Yoo Kim},
  journal      = {The Review of Network Economics},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1515/rne-2024-0085},
}

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.