Binary Misclassification and Identification in Regression Models

UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
Martijn Van Hasselt, Associate Professor (Creator)
The University of North Carolina at Greensboro (UNCG )
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Abstract: We 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.

Additional Information

Economics Letters, 115(1), 81–84
Language: English
Date: 2012
Misclassification error, Binary regressors, Partial identification, Homoscedasticity

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