The role of identifiability in empirical research

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dc.catalogadorvzp
dc.contributor.authorSan Martin Gutiérrez, Ernesto Javier
dc.contributor.authorPerticará, Marcela
dc.contributor.authorVaras Cáceres, Inés María
dc.contributor.authorAsahi Kodama, Kenzo Javier
dc.contributor.authorGonzález Burgos, Jorge Andrés
dc.date.accessioned2025-03-14T14:51:14Z
dc.date.available2025-03-14T14:51:14Z
dc.date.issued2024
dc.description.abstractThis chapter discusses the general concepts of identification and partial identification of statistical models. We elucidate the identification restrictions to endow with meaning the parameters of interest of the fixed-effects one-parameter logistic model with guessing (1PL-G), a model used in educational measurement. We also review the restrictions for identifying the average treatment effect (ATE) in evaluating a policy or program. To address the fundamental problem of causal inference, we also present a partial identification analysis of the ATE. On the basis of the results, we emphasize the relevance of an identification analysis and the usefulness of considering a partial identification approach in causal inference.
dc.fechaingreso.objetodigital2025-03-14
dc.format.extent26 páginas
dc.fuente.origenORCID
dc.identifier.doi10.1515/9783111036496-004
dc.identifier.urihttp://dx.doi.org/10.1515/9783111036496-004
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/102626
dc.information.autorucFacultad de Matemáticas; San Martin Gutiérrez, Ernesto Javier; 0000-0001-9812-4746; 1001052
dc.information.autorucFacultad de Matemáticas; Varas Cáceres, Inés María; S/I; 250582
dc.information.autorucEscuela de Ingeniería; Asahi Kodama, Kenzo Javier; 0000-0001-7838-4647; 4661
dc.information.autorucFacultad de Matemáticas; González Burgos, Jorge Andrés; 0000-0003-0415-3795; 15102
dc.language.isoen
dc.nota.accesocontenido completo
dc.pagina.final158
dc.pagina.inicio133
dc.rightsacceso abierto
dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 International (C BY-NC-ND 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectPartial identification
dc.subjectCausal inference
dc.subjectSelf-selection bias
dc.subjectFinite sample space
dc.subject.ddc300
dc.subject.deweyCiencias socialeses_ES
dc.titleThe role of identifiability in empirical research
dc.typecapítulo de libro
sipa.codpersvinculados1001052
sipa.codpersvinculados250582
sipa.codpersvinculados4661
sipa.codpersvinculados15102
sipa.trazabilidadORCID;2025-03-03
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