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Inverse probability weighted estimation of social tariffs: an illustration using the SF-6D value sets

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dc.contributor.authorMéndez Martínez, Ildefonso
dc.contributor.authorAbellán Perpiñán, José María
dc.contributor.authorSánchez Martínez, Fernando I.
dc.contributor.authorMartínez Pérez, Jorge E.
dc.contributor.departmentEconomía Aplicada
dc.date.accessioned2024-12-02T09:03:15Z
dc.date.available2024-12-02T09:03:15Z
dc.date.issued2011-12
dc.description© 2011 Elsevier B.V. This document is the Published version of a Published Work that appeared in final form in Journal of Health Economics. To access the final edited and published work see https://doi.org/10.1016/j.jhealeco.2011.07.013
dc.description.abstractThis paper presents a novel approach to model health state valuations using inverse probability weighting techniques. Our approach makes no assumption on the distribution of health state values, accommodates covariates in a flexible way, eschews parametric assumptions on the relationship between the outcome and the covariates, allows for an undetermined amount of heterogeneity in the estimates and it formally tests and corrects for sample selection biases. The proposed model is semi-parametrically estimated and it is illustrated with health state valuation data collected for Spain using the SF-6D descriptive system. Estimation results indicate that the standard regression model underestimates the utility loss that the Spanish general population assigns to departures from full health, particularly so for severe departures
dc.embargo.terms1-ene-2999
dc.formatapplication/pdfes
dc.format.extent13
dc.identifier.citationJournal of Health Economics, 2011, Vol. 30, N. 6, pp. 1280-1292
dc.identifier.doihttps://doi.org/10.1016/j.jhealeco.2011.07.013
dc.identifier.issnPrint: 0167-6296
dc.identifier.issnElectronic: 1879-1646
dc.identifier.urihttp://hdl.handle.net/10201/146983
dc.languageenges
dc.publisherElsevier
dc.relationosé María Abellán Perpiñán, Jorge Eduardo Martínez Pérez and Fernando Ignacio Sánchez Martínez also acknowledge financial support from Ministerio de Ciencia e Innnovación grant ECO2010-22041-C02-02. This research was supported by the Health and Consumption Department of the Autonomous Community of Murcia.es
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S016762961100107X?via%3Dihub
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectInverse probability weighting
dc.subjectPropensity score
dc.subjectPreference based health measure
dc.subjectSF 6D
dc.titleInverse probability weighted estimation of social tariffs: an illustration using the SF-6D value setses
dc.typeinfo:eu-repo/semantics/articlees
dspace.entity.typePublicationes
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