Binary misclassification and identification in regression models

DOI10.1016/J.ECONLET.2011.11.031zbMath1242.62068OpenAlexW2158656337MaRDI QIDQ433720

Christopher R. Bollinger, Martijn van Hasselt

Publication date: 6 July 2012

Published in: Economics Letters (Search for Journal in Brave)

Full work available at URL: http://libres.uncg.edu/ir/uncg/f/M_VanHasselt_Binary_2012.pdf

zbMATH Keywords

misclassification errorpartial identificationbinary regressorshomoscedasticity

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Linear inference, regression (62J99)

Related Items (3)

Bayesian moment-based inference in a regression model with misclassification error ⋮ On the estimation of treatment effects with endogenous misreporting ⋮ Identifying the effect of a mis-classified, binary, endogenous regressor

Cites Work

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• A note on the closed-form identification of regression models with a mismeasured binary regressor
• Bounding the effect of a dichotomous regressor with arbitrary measurement errors
• Bounding the effects of measurement error in regressions involving dichotomous variables
• Bounding mean regressions when a binary regressor is mismeasured
• Nonparametric identification of regression models containing a misclassified dichotomous regressor without instruments
• Identification and Estimation of Regression Models with Misclassification
• Disability and Employment
• Estimation of Average Treatment Effects with Misclassification

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