checks for misclassification to improve the quality of the variable. The developed correction procedure is applied to simple …

checks for misclassification to improve the quality of the variable. The developed correction procedure is applied to simple … ; expansion of educational degrees ; misclassification ; imputation rules …

Misclassification of binary variables is the first case of non-classical measurement error considered. Similar to the … classical errors-in-variables result, misclassification of a binary regressor leads to attenuation of slope coefficient … different sets of assumptions can be derived. When the dependent variable is binary, misclassification also leads to slope …

misclassified. Misclassification probabilities and the true probability of treatment are also nonparametrically identified …. Misclassification occurs when treatment is measured with error, that is, some units are reported to have received treatment when they …

a binary treatment or policy on a scalar outcome in models where treatment may be misclassified. Misclassification … probabilities and the true probability of treatment are also identified. Misclassification occurs when treatment is measured with … outcomes, treatment probabilities, and misclassification probabilities are nonparametric. The identifying assumption is the …