Arbeitspapier
Parametric and Semiparametric Estimation in Models with Misclassified Categorical Dependent Variables
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.
- Sprache
-
Englisch
- Erschienen in
-
Series: IZA Discussion Papers ; No. 218
- Klassifikation
-
Wirtschaft
Semiparametric and Nonparametric Methods: General
Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
Multiple or Simultaneous Equation Models: Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- Thema
-
Immigrants
speaking fluency
misclassification error
Schätztheorie
Qualitatives Verfahren
Statistischer Fehler
Sprache
Migranten
Theorie
Deutschland
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Dustmann, Christian
van Soest, Arthur
- Ereignis
-
Veröffentlichung
- (wer)
-
Institute for the Study of Labor (IZA)
- (wo)
-
Bonn
- (wann)
-
2000
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:44 MEZ
Datenpartner
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Objekttyp
- Arbeitspapier
Beteiligte
- Dustmann, Christian
- van Soest, Arthur
- Institute for the Study of Labor (IZA)
Entstanden
- 2000
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