Open Conference Systems, CLADAG2023

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THREE-STEP RECTANGULAR LATENT MARKOV MODELING BASED ON ML CORRECTION
Rosa Fabbricatore, Roberto Di Mari, Zsuzsa Bakk, Mark de Rooij, Francesco Palumbo

Last modified: 2023-05-15

Abstract


Rectangular latent Markov (LM) models have been recently introduced to account for different numbers of latent states over time. This contribution proposesa three-step estimation procedure for such models, which proved useful in the LM modeling framework for flexibility. Specifically, a bias-adjusted maximum likelihood (ML) estimator is introduced for the third step. A simulation study provided preliminary encouraging results regarding the efficacy and effectiveness of the method.