%0 Report
        %A Dustmann, Christian
%A Soest, Arthur van
        %T Parametric and Semiparametric Estimation in Models with Misclassified Categorical Dependent Variables
        %D 2000
        %8 2000 Nov
        %I Institute of Labor Economics (IZA)
        %C Bonn
        %7 IZA Discussion Paper
        %N 218
        %U https://www.iza.org/publications/dp218
        %X 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.
        %K misclassification error
%K speaking fluency
%K Immigrants