Abstract
The present Special Issue is intended to cover statistical approaches based either on continuous or discrete latent variable models, with a particular focus on approaches combining the use of both types of latent variable within the same model. The aim is to give a (partial) picture of recent developments about these models and their applications in the social and economic sciences. As it is well known, the term “latent variables” refers to variables that are not directly observable but are assumed to affect the observable ones in different ways. Latent variables are typically included in a statistical model to make it more flexible and, in particular, for:
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