Missing Measurements in Limited Dependent Variable Models

Abstract

In this paper, we investigate the problem, whether or not incomplete observations contain any information about the parameters that could be used in their estimation, as it applies to limited dependent variable models. The answers differ between binary response models and Tobit response models when serial correlation prevails given missing observations on independent variables. If, instead, missing observations pertain to the dependent variable, we have negative answers for both.