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Title:Parametric and Semiparametric Estimation in Models with Misclassified Categorical Dependent Variables PDF Logo
Authors:Dustmann, Christian
van Soest, Arthur
Issue Date:2000
Series/Report no.:IZA Discussion paper series 218
Abstract:We consider both a parametric and a semiparametric method to account for classification errors on the dependent variable in an ordered response model. The methods are applied to the analysis of self-reported speaking fluency of male immigrants in Germany. We find that a parametric model which explicitly allows for misclassification performs better than a standard ordered probit model and than a model with random thresholds. We find some substantial differences in parameter estimates and predictions of the different models.
Subjects:Immigrants
speaking fluency
misclassification error
JEL:C14
J15
C35
Document Type:Working Paper
Appears in Collections:IZA Discussion Papers, Forschungsinstitut zur Zukunft der Arbeit (IZA)

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