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)
- Institution
- The University of North Carolina at Greensboro (UNCG )
- Web Site: http://library.uncg.edu/
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.
Binary Misclassification and Identification in Regression Models
PDF (Portable Document Format)
225 KB
Created on 9/15/2014
Views: 2052
Additional Information
- Publication
- Economics Letters, 115(1), 81–84
- Language: English
- Date: 2012
- Keywords
- Misclassification error, Binary regressors, Partial identification, Homoscedasticity