Data and Code for: Achieving Universal Health Insurance Coverage in the United States
Principal Investigator(s): View help for Principal Investigator(s) Katherine Baicker, University of Chicago; Amitabh Chandra, Harvard University; Mark Shepard, Harvard University
Version: View help for Version V1
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Project Citation:
Baicker, Katherine, Chandra, Amitabh, and Shepard, Mark. Data and Code for: Achieving Universal Health Insurance Coverage in the United States. Nashville, TN: American Economic Association [publisher], 2023. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-04-19. https://doi.org/10.3886/E183322V1
Project Description
Summary:
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The United States
spends substantially more on health care than most developed countries, yet
leaves a greater share of the population uninsured. We argue that incremental insurance
expansions focused on addressing market failures will propagate inefficiencies and
will fail to facilitate the active policy decisions needed to achieve socially
optimal coverage. By instead defining a
basic bundle of services that is publicly financed for all, while allowing
individuals to to purchase additional coverage, policymakers could both expand
coverage and maintain incentives for innovation, ensuring universal access to
innovative care in an affordable system.
Scope of Project
Subject Terms:
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Universal Coverage
JEL Classification:
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I13 Health Insurance, Public and Private
I18 Health: Government Policy; Regulation; Public Health
I13 Health Insurance, Public and Private
I18 Health: Government Policy; Regulation; Public Health
Geographic Coverage:
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OECD Nations,
United States
Time Period(s):
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1961 – 2019
Data Type(s):
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aggregate data
Collection Notes:
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We compiled publicly available data published by other sources for this paper. Please see the README for a description and citations.
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