Binary misclassification and identification in regression models
AbstractWe study a regression model with a binary explanatory variable that is subject to misclassification errors. The regression coefficient is then only partially identified. We derive several results that relate different assumptions about the misclassification probabilities and the conditional variances to the size of the identified set.
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Bibliographic InfoArticle provided by Elsevier in its journal Economics Letters.
Volume (Year): 115 (2012)
Issue (Month): 1 ()
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Web page: http://www.elsevier.com/locate/ecolet
Misclassification error; Binary regressors; Partial identification; Homoscedasticity;
Find related papers by JEL classification:
- C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
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