@inproceedings{55ecfa17f5cb4a989e3349ff96ecf090,
title = "To Regulate or Not to Regulate: Using Revenue Maximization Tools to Maximize Consumer Utility",
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{\textquoteright}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.",
keywords = "Healthcare, Limited Entry, Revenue, Virtual Values",
author = "Meryem Essaidi and Kira Goldner and Weinberg, \{S. Matthew\}",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; 17th International Symposium on Algorithmic Game Theory, SAGT 2024 ; Conference date: 03-09-2024 Through 06-09-2024",
year = "2024",
doi = "10.1007/978-3-031-71033-9\_18",
language = "English (US)",
isbn = "9783031710322",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "315--332",
editor = "Guido Sch{\"a}fer and Carmine Ventre",
booktitle = "Algorithmic Game Theory - 17th International Symposium, SAGT 2024, Proceedings",
address = "Germany",
}