Publication:

Reducing Ordeals through Automatic Enrollment: Evidence from a Health Insurance Exchange

Loading...
Thumbnail Image

Date

2023-01

Published Version

Journal Title

Journal ISSN

Volume Title

Publisher

Harvard Kennedy School
The Harvard community has made this article openly available. Please share how this access benefits you.

Research Projects

Organizational Units

Journal Issue

Citation

Shepard, Mark and Myles Wagner. "Reducing Ordeals through Automatic Enrollment: Evidence from a Health Insurance Exchange." HKS Faculty Research Working Paper Series RWP23-002, January 2023.

Abstract

Incomplete health insurance enrollment is a persistent U.S. challenge despite large subsidies. We ask whether hassles built into enrollment systems matter for insurance take-up and targeting. Studying removal of an auto-enrollment policy, we find that a small hassle – a requirement to actively select a health plan to enroll – reduces take-up by 33%, a major impact equivalent to $470 (57%) higher enrollee premiums. Hassles differentially screen out younger, healthier, and poorer people – groups with both low value and costs of insurance. We show that this value-cost correlation – a standard feature of insurance, where risk drives both – may undermine the classic rationale for ordeals' favorable targeting.

Description

Other Available Sources

Research Data

Keywords

Terms of Use

This article is made available under the terms and conditions applicable to Open Access Policy Articles (OAP), as set forth at Terms of Service

Endorsement

Review

Supplemented By

Related Stories