Assessing health efficiency across countries with a two-step and bootstrap analysis

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dc.contributor.author	Afonso, António
dc.contributor.author	St. Aubyn, Miguel
dc.date.accessioned	2022-09-27T21:20:27Z
dc.date.available	2022-09-27T21:20:27Z
dc.date.issued	2011
dc.description.abstract	Regressing Data Envelopment Analysis (DEA) output efficiency scores on nondiscretionary variables, with a two-stage DEA/Tobit and bootstrap procedures, we show that health inefficiency in Organization for Economic Co-operation and Development (OECD) countries is related to Gross Domestic Product (GDP) per head, education level, obesity and smoking habits.	pt_PT
dc.description.version	info:eu-repo/semantics/publishedVersion	pt_PT
dc.identifier.citation	Afonso, António and Miguel St. Aubyn.(2011). "Assessing health efficiency across countries with a two-step and bootstrap analysis". Applied Economics Letters, Vol 18, No. 15: pp. 1427-1430.	pt_PT
dc.identifier.doi	10.1080/13504851.2010.541149	pt_PT
dc.identifier.issn	1466-4291 (Online)
dc.identifier.uri	http://hdl.handle.net/10400.5/25606
dc.language.iso	eng	pt_PT
dc.publisher	Taylor & Francis Group	pt_PT
dc.subject	Health Efficiency	pt_PT
dc.subject	Regressing Data Envelopment Analysis (DEA)	pt_PT
dc.subject	OECD Countries	pt_PT
dc.title	Assessing health efficiency across countries with a two-step and bootstrap analysis	pt_PT
dc.type	journal article
dspace.entity.type	Publication
rcaap.rights	openAccess	pt_PT
rcaap.type	article	pt_PT

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