The RAND Health Insurance Experiment, Three Decades Later

Aviva Aron-Dine (), Liran Einav and Amy Finkelstein
Additional contact information
Aviva Aron-Dine: NBER

No 12-007, Discussion Papers from Stanford Institute for Economic Policy Research

Abstract: We re-present and re-examine the analysis from the famous RAND Health Insurance Experiment from the 1970s on the impact of consumer cost sharing in health insurance on medical spending. We begin by summarizing the experiment and its core findings in a manner that would be standard in the current age. We then examine potential threats to the validity of a causal interpretation of the experimental treatment effects stemming from different study participation and differential reporting of outcomes across treatment arms. Finally, we re-consider the famous RAND estimate that the elasticity of medical spending with respect to its out-of-pocket price is -0.2, emphasizing the challenges associated with summarizing the experimental treatment effects from non-linear health insurance contracts using a single price elasticity.

Date: 2012-12
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www-siepr.stanford.edu/repec/sip/12-007.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 500 Can't connect to www-siepr.stanford.edu:80 (No such host is known. )

Related works:
Journal Article: The RAND Health Insurance Experiment, Three Decades Later (2013)
Working Paper: The RAND Health Insurance Experiment, Three Decades Later (2012)
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:sip:dpaper:12-007

Access Statistics for this paper

More papers in Discussion Papers from Stanford Institute for Economic Policy Research Contact information at EDIRC.
Bibliographic data for series maintained by Anne Shor ( this e-mail address is bad, please contact ).