"Preface. Latent Markov models represent an important class of latent variable models for the analysis of longitudinal data, when the response variables measure common characteristics of interest which are not directly observable. Typically, the response variables are categorical, even if...

We provide a comprehensive overview of latent Markov (LM) models for the analysis of longitudinal data. The main assumption behind these models is that the response variables are conditionally independent given a latent process which follows a first-order Markov chain. We first illustrate the...

We propose a new set of indices to capture the multidimensionality of a country's institutional quality. Our indices are obtained by employing a dimension reduction approach on the institutional variables provided by the Frazer Institute (2018). We estimate the impact that our measures of...