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

cg.authorship.typesCGIAR single centreen_US
cg.contributor.crpPolicies, Institutions, and Marketsen_US
cg.identifier.doihttps://doi.org/10.1080/07474938.2014.956612en_US
cg.identifier.projectIFPRI - Markets, Trade, and Institutions Divisionen_US
cg.identifier.publicationRankAen_US
cg.isijournalISI Journalen_US
cg.issn0747-4938en_US
cg.issn1532-4168en_US
cg.issue6-10en_US
cg.journalEconometric Reviewsen_US
cg.reviewStatusPeer Reviewen_US
cg.volume34en_US
dc.contributor.authorMartins-Filho, Carlosen_US
dc.contributor.authorYao, Fengen_US
dc.contributor.authorTorero, Máximoen_US
dc.date.accessioned2024-08-01T02:49:28Zen_US
dc.date.available2024-08-01T02:49:28Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/149513en_US
dc.titleHigh-order conditional quantile estimation based on nonparametric models of regressionen_US
dcterms.accessRightsLimited Accessen_US
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_US
dcterms.extentpp. 907-958en_US
dcterms.issued2015-05-01en_US
dcterms.languageenen_US
dcterms.publisherInforma UK Limiteden_US
dcterms.replaceshttps://ebrary.ifpri.org/digital/collection/p15738coll5/id/4627en_US
dcterms.subjecteconomic theoriesen_US
dcterms.subjectregression analysisen_US
dcterms.typeJournal Articleen_US

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