Hedonic estimation with unobserved characteristics : an application to the housing market in Santiago, Chile

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dc.contributor.authorQuiroga, Bernardo F.
dc.date.accessioned2020-04-20T16:18:10Z
dc.date.available2020-04-20T16:18:10Z
dc.date.issued2013
dc.date.updated2020-03-31T21:32:11Z
dc.description.abstractWe estimate a hedonic price function for the characteristics of housing units in Santiago, Chile, with the aim to capture unobserved utility-generating attributes for each unit. We used for this purpose two different semiparametric regression methods: a local linear kernel regression with a single unobservable index variable, similar to what has been implemented by Bajari and Kahn (2005), and a partially linear in the parameters, partially nonparametric method as first proposed by Robinson (1988). The data used comes from a cross-sectional sample of housing units in Santiago, Chile in 2006. Interestingly, the results obtained for the unobservable components are similar to each other and to ordinary least squares.
dc.identifier.doi10.2139/ssrn.2356019
dc.identifier.issn1556-5068
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/28675
dc.identifier.urihttp://dx.doi.org/10.2139/ssrn.2356019
dc.language.isoen
dc.relation.isformatofSSRN Electronic Journal (2013).
dc.revistaSSRN Electronic Journales_ES
dc.rightsacceso restringido
dc.subjectHedonic estimationes_ES
dc.subjectUnobservable characteristicses_ES
dc.subjectChilees_ES
dc.subjectHousing marketes_ES
dc.subject.ddc330
dc.subject.deweyEconomíaes_ES
dc.titleHedonic estimation with unobserved characteristics : an application to the housing market in Santiago, Chilees_ES
dc.typeartículo
sipa.codpersvinculados120937
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