How to attract physicians to underserved areas? policy recommendations from a structural model

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dc.contributor.authorCosta, Francisco
dc.contributor.authorLETICIA FARIA DE CARVALHO NUNES
dc.contributor.authorFABIO ADRIANO MIESSI SANCHES
dc.coverage.paisNão Informadopt_BR
dc.creatorCosta, Francisco
dc.date.accessioned2022-11-11T15:36:47Z
dc.date.available2022-11-11T15:36:47Z
dc.date.issued2022
dc.description.otherThis paper exploits location choices of all generalist physicians graduated in Brazil between 2001 and 2013 to study policies aiming at increasing the supply of physicians in underserved areas. We set up and estimate a supply and demand model for physicians. We estimate physicians' locational preferences using a random coefficients discrete choice model. The demand has private establishments competing for physicians with private and public facilities around the country. Policy counterfactuals indicate that quotas in medical schools for students born in underserved areas and the opening of vacancies in medical schools in deprived areas are more cost-effective than financial incentives.pt_BR
dc.format.extentp. 1-45pt_BR
dc.format.mediumDigitalpt_BR
dc.identifier.doihttps://doi.org/10.1162/rest_a_01155pt_BR
dc.identifier.urihttps://repositorio.insper.edu.br/handle/11224/4712
dc.language.isoInglêspt_BR
dc.publisherMIT Presspt_BR
dc.relation.ispartofThe Review of Economics and Statistics 1–45.pt_BR
dc.rights.licenseO INSPER E ESTE REPOSITÓRIO NÃO DETÊM OS DIREITOS DE USO E REPRODUÇÃO DOS CONTEÚDOS AQUI REGISTRADOS. É RESPONSABILIDADE DOS USUÁRIOS INDIVIDUAIS VERIFICAR OS USOS PERMITIDOS NA FONTE ORIGINAL, RESPEITANDO-SE OS DIREITOS DE AUTOR OU EDITOR.pt_BR
dc.subject.keywordsNão informadopt_BR
dc.titleHow to attract physicians to underserved areas? policy recommendations from a structural modelpt_BR
dc.typejournal article
dspace.entity.typePublication
local.identifier.sourceUrihttps://direct.mit.edu/rest/article-abstract/doi/10.1162/rest_a_01155/109252/How-to-Attract-Physicians-to-Underserved-Areas?redirectedFrom=fulltext
local.typeArtigo Científicopt_BR
relation.isAuthorOfPublication33667618-2f83-41c5-abb2-95fcb0852cd2
relation.isAuthorOfPublication80b08d65-f22c-4df9-9e17-9b169f92ceed
relation.isAuthorOfPublication.latestForDiscovery33667618-2f83-41c5-abb2-95fcb0852cd2
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