Binary misclassification and identification in regression models

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.

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Year of publication:	2012
Authors:	van Hasselt, Martijn ; Bollinger, Christopher R.
Published in:	Economics Letters. - Elsevier, ISSN 0165-1765. - Vol. 115.2012, 1, p. 81-84
Publisher:	Elsevier
Subject:	Misclassification error \| Binary regressors \| Partial identification \| Homoscedasticity

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Type of publication:	Article
Classification:	c18 ; C21 - Cross-Sectional Models; Spatial Models ; C25 - Discrete Regression and Qualitative Choice Models
Source:	RePEc - Research Papers in Economics

Persistent link: https://ebvufind01.dmz1.zbw.eu/10010572153