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dc.contributor.authorSa, Luis
dc.contributor.authorSiciliani, Luigi
dc.contributor.authorStraume, Odd Rune
dc.date.accessioned2020-06-19T12:43:23Z
dc.date.available2020-06-19T12:43:23Z
dc.date.issued2019
dc.PublishedSa L, Siciliani L, Straume OR. Dynamic hospital competition under rationing by waiting times. Journal of Health Economics. 2019;66:260-282eng
dc.identifier.issn0167-6296
dc.identifier.issn1879-1646
dc.identifier.urihttps://hdl.handle.net/1956/22772
dc.description.abstractWe develop a dynamic model of hospital competition where (i) waiting times increase if demand exceeds supply; (ii) patients choose a hospital based in part on waiting times; and (iii) hospitals incur waiting time penalties. We show that, whereas policies based on penalties will lead to lower waiting times, policies that promote patient choice will instead lead to higher waiting times. These results are robust to different game-theoretic solution concepts, designs of the hospital penalty structure, and patient utility specifications. Furthermore, waiting time penalties are likely to be more effective in reducing waiting times if they are designed with a linear penalty structure, but the counterproductive effect of patient choice policies is smaller when penalties are convex. These conclusions are partly derived by calibration of our model based on waiting times and elasticities observed in the English NHS for a common treatment (cataract surgery).en_US
dc.language.isoengeng
dc.publisherElseviereng
dc.rightsAttribution-NonCommercial-NoDerivs CC BY-NC-NDeng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/eng
dc.titleDynamic hospital competition under rationing by waiting timeseng
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.date.updated2020-02-04T09:11:16Z
dc.description.versionacceptedVersion
dc.rights.holderCopyright 2019 Elsevieren_US
dc.identifier.doihttps://doi.org/10.1016/j.jhealeco.2019.06.005
dc.identifier.cristin1717634
dc.source.journalJournal of Health Economics
dc.source.pagenumber260-282
dc.identifier.citationJournal of Health Economics. 2019;66:260-282
dc.source.volume66


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