Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/21068
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dc.contributor.authorVijverberg, Wim P. M.en_US
dc.date.accessioned2009-01-28T16:19:07Z-
dc.date.available2009-01-28T16:19:07Z-
dc.date.issued2000en_US
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_US
dc.language.isoengen_US
dc.publisher|aInstitute for the Study of Labor (IZA) |cBonn-
dc.relation.ispartofseries|aIZA Discussion paper series |x222en_US
dc.subject.jelJ22en_US
dc.subject.jelC25en_US
dc.subject.ddc330en_US
dc.subject.keywordDichotomous choice modelen_US
dc.subject.keywordbeta distributionen_US
dc.subject.keywordlogiten_US
dc.subject.keywordprobiten_US
dc.subject.stwMikroökonometrieen_US
dc.subject.stwBeta-Verteilungen_US
dc.subject.stwTheorieen_US
dc.titleBetit: A Family That Nests Probit and Logiten_US
dc.typeWorking Paperen_US
dc.identifier.ppn83549232Xen_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-

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