Sources of Geographic Variation in Health Care: Evidence From Patient Migration

We study the drivers of geographic variation in U.S. health care utilization, using an empirical strategy that exploits migration of Medicare patients to separate the role of demand and supply factors. Our approach allows us to account for demand differences driven by both observable and unobservabl...

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Main Authors: Gentzkow, Matthew, Finkelstein, Amy, Williams, Heidi L
Other Authors: Massachusetts Institute of Technology. Department of Economics
Format: Article
Language:en_US
Published: Oxford University Press 2016
Online Access:http://hdl.handle.net/1721.1/105328
https://orcid.org/0000-0002-9941-6684
https://orcid.org/0000-0003-4364-1505
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author Gentzkow, Matthew
Finkelstein, Amy
Williams, Heidi L
author2 Massachusetts Institute of Technology. Department of Economics
author_facet Massachusetts Institute of Technology. Department of Economics
Gentzkow, Matthew
Finkelstein, Amy
Williams, Heidi L
author_sort Gentzkow, Matthew
collection MIT
description We study the drivers of geographic variation in U.S. health care utilization, using an empirical strategy that exploits migration of Medicare patients to separate the role of demand and supply factors. Our approach allows us to account for demand differences driven by both observable and unobservable patient characteristics. Within our sample of over-65 Medicare beneficiaries, we find that 40–50% of geographic variation in utilization is attributable to demand-side factors, including health and preferences, with the remainder due to place-specific supply factors.
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spelling mit-1721.1/1053282022-09-28T12:33:59Z Sources of Geographic Variation in Health Care: Evidence From Patient Migration Gentzkow, Matthew Finkelstein, Amy Williams, Heidi L Massachusetts Institute of Technology. Department of Economics Finkelstein, Amy Finkelstein, Amy Williams, Heidi L We study the drivers of geographic variation in U.S. health care utilization, using an empirical strategy that exploits migration of Medicare patients to separate the role of demand and supply factors. Our approach allows us to account for demand differences driven by both observable and unobservable patient characteristics. Within our sample of over-65 Medicare beneficiaries, we find that 40–50% of geographic variation in utilization is attributable to demand-side factors, including health and preferences, with the remainder due to place-specific supply factors. National Institute on Aging (R01-AG032449) National Institute on Aging (P01-AG19783) National Science Foundation (U.S.) (Grant 1151497) National Science Foundation (U.S.) (Grant 1260411) Neubauer Family Foundation University of Chicago. Booth School of Business (Initiative on Global Markets) 2016-11-15T18:29:44Z 2016-11-15T18:29:44Z 2016-07 2016-04 Article http://purl.org/eprint/type/JournalArticle 0033-5533 1531-4650 http://hdl.handle.net/1721.1/105328 Finkelstein, Amy, Matthew Gentzkow, and Heidi Williams. “Sources of Geographic Variation in Health Care: Evidence From Patient Migration.” The Quarterly Journal of Economics 131, no. 4 (July 19, 2016): 1681-1726. https://orcid.org/0000-0002-9941-6684 https://orcid.org/0000-0003-4364-1505 en_US http://dx.doi.org/10.1093/qje/qjw023 Quarterly Journal of Economics Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Oxford University Press Finkelstein
spellingShingle Gentzkow, Matthew
Finkelstein, Amy
Williams, Heidi L
Sources of Geographic Variation in Health Care: Evidence From Patient Migration
title Sources of Geographic Variation in Health Care: Evidence From Patient Migration
title_full Sources of Geographic Variation in Health Care: Evidence From Patient Migration
title_fullStr Sources of Geographic Variation in Health Care: Evidence From Patient Migration
title_full_unstemmed Sources of Geographic Variation in Health Care: Evidence From Patient Migration
title_short Sources of Geographic Variation in Health Care: Evidence From Patient Migration
title_sort sources of geographic variation in health care evidence from patient migration
url http://hdl.handle.net/1721.1/105328
https://orcid.org/0000-0002-9941-6684
https://orcid.org/0000-0003-4364-1505
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