Welfare and Revenue Guarantees for Competitive Bundling Equilibrium
Shahar Dobzinski, Michal Feldman, Inbal Talgam-Cohen, Omri, Weinstein

TL;DR
This paper introduces the concept of competitive bundling equilibrium, demonstrating its ability to guarantee welfare and revenue in markets with heterogeneous goods and complex preferences, even when standard equilibria may not exist.
Contribution
It proposes competitive bundling equilibrium as a stabilizing market concept, providing welfare and revenue guarantees in complex and non-gross substitute markets.
Findings
Existence of welfare guarantees in homogeneous markets with complementarities.
Welfare guarantees extend to general, two-consumer, and budget-additive markets.
Revenue guarantees for subclasses of gross substitutes valuations.
Abstract
We study equilibria of markets with heterogeneous indivisible goods and consumers with combinatorial preferences. It is well known that a competitive equilibrium is not guaranteed to exist when valuations are not gross substitutes. Given the widespread use of bundling in real-life markets, we study its role as a stabilizing and coordinating device by considering the notion of \emph{competitive bundling equilibrium}: a competitive equilibrium over the market induced by partitioning the goods for sale into fixed bundles. Compared to other equilibrium concepts involving bundles, this notion has the advantage of simulatneous succinctness ( prices) and market clearance. Our first set of results concern welfare guarantees. We show that in markets where consumers care only about the number of goods they receive (known as multi-unit or homogeneous markets), even in the presence…
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.
Taxonomy
TopicsAuction Theory and Applications · Economic theories and models · Game Theory and Applications
