High-order conditional quantile estimation based on nonparametric models of regression

cg.authorship.typesCGIAR single centreen
cg.contributor.crpPolicies, Institutions, and Markets
cg.identifier.doihttps://doi.org/10.1080/07474938.2014.956612en
cg.identifier.projectIFPRI - Markets, Trade, and Institutions Division
cg.identifier.publicationRankA
cg.isijournalISI Journalen
cg.issn0747-4938en
cg.issn1532-4168en
cg.issue6-10en
cg.journalEconometric Reviewsen
cg.reviewStatusPeer Reviewen
cg.volume34en
dc.contributor.authorMartins-Filho, Carlosen
dc.contributor.authorYao, Fengen
dc.contributor.authorTorero, Máximoen
dc.date.accessioned2024-08-01T02:49:28Zen
dc.date.available2024-08-01T02:49:28Zen
dc.identifier.urihttps://hdl.handle.net/10568/149513
dc.titleHigh-order conditional quantile estimation based on nonparametric models of regressionen
dcterms.accessRightsLimited Access
dcterms.bibliographicCitationMartins-Filho, Carlos; Yao, Feng; and Torero, Maximo. 2015. High order conditional quantile estimation based on nonparametric models of regression. Econometric Reviews 34(6-10): 906-957. Special Issue in Honor of Aman Ullah. https://doi.org/10.1080/07474938.2014.956612en
dcterms.extentpp. 907-958en
dcterms.issued2015-05-01
dcterms.languageen
dcterms.publisherInforma UK Limiteden
dcterms.replaceshttps://ebrary.ifpri.org/digital/collection/p15738coll5/id/4627en
dcterms.subjecteconomic theoriesen
dcterms.subjectregression analysisen
dcterms.typeJournal Article

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