Implementing blopmatching in Stata

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dc.contributor.authorDiaz, Juan D.
dc.contributor.authorGutierrez, Ivan
dc.contributor.authorRivera, Jorge
dc.date.accessioned2025-01-20T23:51:24Z
dc.date.available2025-01-20T23:51:24Z
dc.date.issued2021
dc.description.abstractThe blopmatching estimator for average treatment effects in observational studies is a nonparametric matching estimator proposed by Diaz, Rau, and Rivera (2015, Review of Economics and Statistics 97: 803-812). This approach uses the solutions of linear programming problems to build the weighting schemes that are used to impute the missing potential outcomes. In this article, we describe blopmatch, a new command that implements these estimators.
dc.fuente.origenWOS
dc.identifier.doi10.1177/1536867X211000021
dc.identifier.eissn1536-8734
dc.identifier.issn1536-867X
dc.identifier.urihttps://doi.org/10.1177/1536867X211000021
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/94808
dc.identifier.wosidWOS:000636253000009
dc.issue.numero1
dc.language.isoen
dc.pagina.final194
dc.pagina.inicio180
dc.revistaStata journal
dc.rightsacceso restringido
dc.subjectst0632
dc.subjectblopmatch
dc.subjectaverage treatment effects
dc.subjectmatching
dc.subjectlinear programming
dc.subjectsynthetic covariate
dc.subject.ods03 Good Health and Well-being
dc.subject.odspa03 Salud y bienestar
dc.titleImplementing blopmatching in Stata
dc.typeartículo
dc.volumen21
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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