We show that the identification results of finite mixture and misclassification models are equivalent in a widely … identification of finite mixture models is usually up to permutations of a latent index. This local identification is satisfactory …

This paper discusses identification, estimation and testing in panel data models with attrition. We focus on a … establishes conditions for identification and consistent estimation based on the pseudo likelihood function. It is also shown that …

superfluous information as auxiliary tools of exact identification. To illustrate the procedure and to study the simultaneous …

assumptions for identification. This article provides a systematic explanation of such assumptions. We define five potential … outcome types whose means are involved in various effect definitions. We tackle their mean/distribution’s identification … identification requires weaker assumptions than those often stated in the literature. This attention to the details also draws …