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Comparing parametric and semiparametric binary response models

1995Journal article Restricted access
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dc.contributor.authorProença, Isabel
dc.date.accessioned2023-09-06T10:25:24Z
dc.date.available2023-09-06T10:25:24Z
dc.date.issued1995
dc.description.abstractBinary response models are frequently applied in economics and other social sciences. Whereas standard parametric models such as Probit and Logit models still dominate the applied literature, there have been important theoretical advances in semi- and nonparametric approaches to binary response analysis (see Horowitz, 1993a, for an excellent and up-to-date survey). From the perspective of the applied researcher, the development of new techniques that go beyond Logit and Probit are important for several reasons: 1. Economic theory usually does not provide clear guidelines on how a parametric model should be specified. Hence, the assumptions underlying Probit and Logit models are rarely justified on theoretical grounds. Rather, they are motivated by convenience and by reference to “standard practice.” 2. Misspecification of parametric models can cause parameter estimates and inferences based on these parameters to be inconsistent. Moreover, predictions made from misspecified parametric models can be inaccurate and misleading.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationProença, Isabel .(1995). “Comparing parametric and semiparametric binary response models”. In XploRe: An Interactive Statistical Computing Environment . W. Härdle, S. Klinke and B. A. Turlach (eds). Springer Verlag, chapter 14: pp 251–273 . (search in 2023).pt_PT
dc.identifier.isbn10. 9780387944296
dc.identifier.urihttp://hdl.handle.net/10400.5/28433
dc.language.isoengpt_PT
dc.publisherSpringerpt_PT
dc.subjectLogit Modelpt_PT
dc.subjectLink Functionpt_PT
dc.subjectBias Correctionpt_PT
dc.subjectRestricted Modelpt_PT
dc.subjectLatent Variable Modelpt_PT
dc.titleComparing parametric and semiparametric binary response modelspt_PT
dc.typejournal article
dspace.entity.typePublication
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT

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