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To Regulate or Not to Regulate: Using Revenue Maximization Tools to Maximize Consumer Utility

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We study a theoretical model inspired by regulated health insurance markets. The market regulator can choose to do nothing, running a Free Market, or can exercise her regulatory power by limiting the entry of providers (decreasing consumer welfare by limiting options, but also decreasing revenue via enhanced competition). We investigate whether limiting entry increases or decreases the utility (welfare minus revenue) of the consumers who purchase from the providers, specifically in settings where the outside option of “purchasing nothing” is prohibitively undesirable. We focus primarily on the case where providers are symmetric. We propose a sufficient condition on the distribution of consumer values for (a) a unique symmetric equilibrium to exist in both markets and (b) utility to be higher with limited entry. (We also establish that these conclusions do not necessarily hold for all distributions, and therefore some condition is necessary.) Our techniques are primarily based on tools from revenue maximization, and in particular Myerson’s virtual value theory. We also consider extensions to settings where providers have identical costs for providing plans, and to two providers with an asymmetric distribution.

Original languageEnglish (US)
Title of host publicationAlgorithmic Game Theory - 17th International Symposium, SAGT 2024, Proceedings
EditorsGuido Schäfer, Carmine Ventre
PublisherSpringer Science and Business Media Deutschland GmbH
Pages315-332
Number of pages18
ISBN (Print)9783031710322
DOIs
StatePublished - 2024
Event17th International Symposium on Algorithmic Game Theory, SAGT 2024 - Amsterdam, Netherlands
Duration: Sep 3 2024Sep 6 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume15156 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th International Symposium on Algorithmic Game Theory, SAGT 2024
Country/TerritoryNetherlands
CityAmsterdam
Period9/3/249/6/24

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

Keywords

  • Healthcare
  • Limited Entry
  • Revenue
  • Virtual Values

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