Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/21064
Authors: 
Dustmann, Christian
van Soest, Arthur
Year of Publication: 
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

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