@TechReport{iza:izadps:dp218,
            	author={Dustmann, Christian and Soest, Arthur van},
            	title={Parametric and Semiparametric Estimation in Models with Misclassified Categorical Dependent Variables},
            	year={2000},
	month={Nov},
            	institution={Institute of Labor Economics (IZA)},
            	address={Bonn},
            	type={IZA Discussion Paper},
            	number={218},
            	url={https://www.iza.org/index.php/publications/dp218},
	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.},
	keywords={misclassification error;speaking fluency;Immigrants},
            }