The Two-Margin Problem in Insurance Markets
Michael Geruso,
Timothy Layton,
Grace McCormack and
Mark Shepard
Additional contact information
Michael Geruso: University of Texas at Austin and NBER
Grace McCormack: Harvard University
Mark Shepard: Harvard University and NBER
The Review of Economics and Statistics, 2023, vol. 105, issue 2, 237-257
Abstract:
Insurance markets often feature consumer sorting along both an extensive margin (whether to buy) and an intensive margin (which plan to buy). We present a new graphical theoretical framework that extends a workhorse model to incorporate both selection margins simultaneously. A key insight from our framework is that policies aimed at addressing one margin of selection often involve an economically meaningful trade-off on the other margin in terms of prices, enrollment, and welfare. Using data from Massachusetts, we illustrate these trade-offs in an empirical sufficient statistics approach that is tightly linked to the graphical framework we develop.
Date: 2023
References: Add references at CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
https://doi.org/10.1162/rest_a_01070
Related works:
Working Paper: The Two Margin Problem in Insurance Markets (2019) 
Working Paper: The Two Margin Problem in Insurance Markets (2019) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:tpr:restat:v:105:y:2023:i:2:p:237-257
Ordering information: This journal article can be ordered from
https://mitpressjour ... rnal/?issn=0034-6535
Access Statistics for this article
The Review of Economics and Statistics is currently edited by Pierre Azoulay, Olivier Coibion, Will Dobbie, Raymond Fisman, Benjamin R. Handel, Brian A. Jacob, Kareen Rozen, Xiaoxia Shi, Tavneet Suri and Yi Xu
More articles in The Review of Economics and Statistics from MIT Press
Bibliographic data for series maintained by The MIT Press ().