Measuring Returns to Hospital Care: Evidence from Ambulance Referral Patterns

We consider whether hospitals that receive higher payments from Medicare improve patient outcomes, using exogenous variation in ambulance company assignment among patients who live near one another. Using Medicare data from 2002-10 on assignment across ambulance companies and New York State data fro...

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Bibliographic Details
Main Authors: Graves, John A. (Author), Kleiner, Samuel A. (Author), Doyle, Joseph J (Contributor), Gruber, Jonathan (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Economics (Contributor), Sloan School of Management (Contributor)
Format: Article
Language:English
Published: University of Chicago Press, 2017-06-26T18:09:10Z.
Subjects:
Online Access:Get fulltext
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100 1 0 |a Graves, John A.  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Economics  |e contributor 
100 1 0 |a Sloan School of Management  |e contributor 
100 1 0 |a Doyle, Joseph J  |e contributor 
100 1 0 |a Gruber, Jonathan  |e contributor 
700 1 0 |a Kleiner, Samuel A.  |e author 
700 1 0 |a Doyle, Joseph J  |e author 
700 1 0 |a Gruber, Jonathan  |e author 
245 0 0 |a Measuring Returns to Hospital Care: Evidence from Ambulance Referral Patterns 
260 |b University of Chicago Press,   |c 2017-06-26T18:09:10Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/110264 
520 |a We consider whether hospitals that receive higher payments from Medicare improve patient outcomes, using exogenous variation in ambulance company assignment among patients who live near one another. Using Medicare data from 2002-10 on assignment across ambulance companies and New York State data from 2000-6 on assignment across area boundaries, we find that patients who are brought to higher-cost hospitals achieve better outcomes. Our estimates imply that a one standard deviation increase in Medicare reimbursement leads to a 4 percentage point (or 10 percent) reduction in mortality; the implied cost per at least 1 year of life saved is approximately $80,000. 
520 |a National Institutes of Health (U.S.) (R01 AG41794-01) 
546 |a en_US 
655 7 |a Article 
773 |t Journal of Political Economy