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  4. Partial identification of the treatment effect distribution and its functionals
Please use this identifier to cite or link to this item: https://repositorio.insper.edu.br/handle/11224/4232
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dc.rights.licenseO INSPER E ESTE REPOSITÓRIO NÃO DETÊM OS DIREITOS DE USO E REPRODUÇÃO DOS CONTEÚDOS AQUI REGISTRADOS. É RESPONSABILIDADE DO USUÁRIO VERIFICAR OS USOS PERMITIDOS NA FONTE ORIGINAL, RESPEITANDO-SE OS DIREITOS DE AUTOR OU EDITOR.pt_BR
dc.date.accessioned2022-10-11T15:59:22Z-
dc.date.available2022-10-11T15:59:22Z-
dc.date.issued2019-
dc.identifier.issn0304-4076pt_BR
dc.identifier.urihttps://repositorio.insper.edu.br/handle/11224/4232-
dc.format.extentp. 210–234pt_BR
dc.format.mediumDigitalpt_BR
dc.language.isoInglêspt_BR
dc.publisherElsevierpt_BR
dc.relation.ispartofJournal of Econometricspt_BR
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S0304407619300673?via%3Dihubpt_BR
dc.titlePartial identification of the treatment effect distribution and its functionalspt_BR
dc.typeArtigo Científicopt_BR
dc.description.otherIn the treatment effect problem, the available information is on the marginal distributions of potential outcomes, but not on their joint distribution. The only point identified functional of the treatment effect distribution is its average, the average treatment effect (ATE). Quantiles and other functionals of the distribution of treatment effect are only partially identified. Bounds on a single quantile and on the cumulative distribution function (c.d.f.) in a single point are sharp (Makarov bounds). We show that bounds on functionals of the quantile process that use Makarov bounds are not sharp, because the Makarov bounds are pointwise, but not uniformly sharp. This allows us to propose improved bounds on functionals of the c.d.f. As an intermediate result, we find that the Makarov bounds on the region that contains the c.d.f. of the treatment effect distribution in a finite number of points can be improved. We provide numerical illustrations throughout the paper permitting a clear visualization of how the method works.pt_BR
dc.subject.cnpqCiências Exatas e da Terrapt_BR
dc.subject.keywordsDistribution of treatment effectspt_BR
dc.subject.keywordsBoundspt_BR
dc.identifier.doihttps://doi.org/10.1016/j.jeconom.2019.04.012pt_BR
dc.identifier.volume213pt_BR
dc.description.notesTexto Completopt_BR
dc.contributor.autorFirpo, Sergio Pinheiro-
dc.contributor.autorRidder, Geert-
dc.coverage.paisNão Informadopt_BR
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