Pricing, Matching, and Bundling: an Equilibrium Analysis of Online Platforms
Gary Qiurui Ma

TL;DR
This paper analyzes how online platforms use pricing, matching, and bundling strategies to influence market outcomes, balancing profitability and welfare.
Contribution
It provides an equilibrium framework to understand the combined effects of pricing, matching, and bundling in platform design.
Findings
Pricing strategies impact participant incentives and platform revenue.
Matching mechanisms influence transaction feasibility and market efficiency.
Bundling can enhance platform value and market structure.
Abstract
Modern online platforms such as marketplaces, ride-hailing services, and food-delivery systems serve a dual role: they are both markets where participants interact and transact, and operators that design and govern how these markets function. These platforms connect multiple sides, for example buyers, sellers, and couriers, facilitating access that would otherwise be difficult to achieve. By setting the rules of the market, platforms determine who participates, how interactions take place, and how value is created and distributed. In response to these rules, participants may behave strategically, deciding whether to join the platform and which transactions to pursue. This thesis studies how platform design affects market outcomes through three key levers: pricing that determines participants' gains when operating on a platform; matching that governs which interactions are feasible…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
