Regression Model with Ordinal Predictor Subject to Measurement Error

Abstract

We consider estimation of and β in the model , where ξ is an ordinal predictor measured with error. Our method requires an auxiliary sample for information about the measurement error distribution. The estimates are shown to be consistent and asymptotically normal, and seem to perform well in samples of moderate size.