Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/21068 
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dc.contributor.authorVijverberg, Wim P. M.en
dc.date.accessioned2009-01-28T16:19:07Z-
dc.date.available2009-01-28T16:19:07Z-
dc.date.issued2000-
dc.identifier.urihttp://hdl.handle.net/10419/21068-
dc.description.abstractThis paper proposes a dichotomous choice model that is based on a transformed beta (or "z")distribution. This model, called betit, nests both logit and probit and allows for various skewedand peaked disturbance densities. Because the shape of this density affects the estimatedrelation between the dichotomous choice variable and its determinants, the greater flexibility ofthe transformed beta distribution is useful in generating more accurate representations of thisrelationship. The paper considers asymptotic biases of the logit and probit models underconditions where betit should have been used. It also investigates small sample power andprovides two examples of applications that illustrative of the capability of the betit model.en
dc.language.isoengen
dc.publisher|aInstitute for the Study of Labor (IZA) |cBonnen
dc.relation.ispartofseries|aIZA Discussion Papers |x222en
dc.subject.jelJ22en
dc.subject.jelC25en
dc.subject.ddc330en
dc.subject.keywordDichotomous choice modelen
dc.subject.keywordbeta distributionen
dc.subject.keywordlogiten
dc.subject.keywordprobiten
dc.subject.stwMikroökonometrieen
dc.subject.stwBeta-Verteilungen
dc.subject.stwTheorieen
dc.titleBetit: A Family That Nests Probit and Logit-
dc.typeWorking Paperen
dc.identifier.ppn83549232Xen
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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