The dynamic interdependence in the demand of primary and emergency secondary care: A hidden Markov approach

Mauro Laudicella, Paolo Li Donni*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

This paper develops an extension of the class of finite mixture models for longitudinal count data to the bivariate case by using a hidden Markov chain approach. The model allows for disentangling unobservable time-varying heterogeneity from the dynamic effect of utilisation of primary and secondary care and measuring their potential substitution effect. Three points of supports adequately describe the distribution of the latent states suggesting the existence of three profiles of low, medium and high users who shows persistency in their behaviour, but not permanence as some switch to their neighbour's profile.

Original languageEnglish
JournalJournal of Applied Econometrics
ISSN0883-7252
DOIs
Publication statusE-pub ahead of print - 15. Sep 2021

Bibliographical note

Publisher Copyright:
© 2021 The Authors. Journal of Applied Econometrics published by John Wiley & Sons, Ltd.

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