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Data and Code for: Price-Linked Subsidies and Imperfect Competition in Health Insurance

Version
V0
Resource Type
Dataset : census/enumeration data, program source code
Creator
  • Shepard, Mark (Harvard University. Kennedy School of Government.)
  • Jaffe, Sonia (Microsoft)
Publication Date
2020-07-23
Funding Reference
  • Harvard University
  • United States Department of Health and Human Services. National Institutes of Health. National Institute on Aging
    • Award Number: T32-AG000186
  • National Science Foundation
    • Award Number: Graduate Research Fellowship
Free Keywords
health insurance; competition; subsidy
Description
  • Abstract

    Policymakers subsidizing health insurance often face uncertainty about future market prices. We study the implications of one policy response: linking subsidies to prices, to target a given post-subsidy premium. We show that these price-linked subsidies weaken competition, raising prices for the government and/or consumers. However, price-linking also ties subsidies to health care cost shocks, which may be desirable. Evaluating this tradeoff empirically, using a model estimated with Massachusetts insurance exchange data, we find that price-linking increases prices 1-6%, and much morein less competitive markets. For cost uncertainty reasonable in a mature market, these losses outweigh the benefits of price-linking.
Temporal Coverage
  • 2007-01-01 / 2011-12-31
    Time Period: Mon Jan 01 00:00:00 EST 2007--Sat Dec 31 00:00:00 EST 2011
Geographic Coverage
  • Massachusetts, USA
Availability
Download
Relations
  • Has version
    DOI: 10.3886/E115405V1
Publications
  • Jaffe, Sonia, and Mark Shepard. “Price-Linked Subsidies and Imperfect Competition in Health Insurance.” American Economic Journal: Economic Policy, n.d.

Update Metadata: 2020-07-23 | Issue Number: 1 | Registration Date: 2020-07-23

Shepard, Mark; Jaffe, Sonia (2020): Data and Code for: Price-Linked Subsidies and Imperfect Competition in Health Insurance. Version: V0. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E115405