Virtual: https://us02web.zoom.us/j/7905645674
Codi: 1984

Title: Mixture of Hidden Markov Models for labour statistics, the Italian case

Abstract:
In recent decades, national statistical institutes in Europe have started to produce official statistics using multiple sources of information rather than a single source, usually a statistical survey.
We show how latent variable models can be used for estimating employment proportions in the Italian regions using survey and administrative data, taking into account the deficiencies in the corresponding measurement process and the longitudinal structure of the data. To this purpose, we adopt a mixture of hidden Markov models (MHMM), a longitudinal extension of latent class analysis; in the model specification, we consider covariates and unobserved heterogeneity of the latent process among the units of the population.