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?:abstract
  • Our contribution is focused on Latent Markov Models (LM) and some empirical applications in the econometrics context. In particular, we introduce the mathematical and statistical basic notions needed for both interpreting the output of a LM model and understanding the role of the parameters of the model. Furthermore, we present the issues that may arise whenever covariates (discrete or continuous) are inserted within the model. Finally, we present an empirical econometric application tailored at facing the problem of estimating material deprivation. (xsd:string)
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  • (SILC) (xsd:string)
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  • EU-SILC-Bibliography (xsd:string)
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  • 2023 (xsd:gyear)
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  • 2023 (xsd:gyear)
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  • 10.13134/979-12-5977-286-2/2 ()
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  • 45 (xsd:string)
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  • 979-12-5977-286-2 ()
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  • Modelli Latent Markov per dati longitudinali: utilizzo in ambito econometrico e possibili estensioni (xsd:string)
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  • incollection (xsd:string)
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  • Giornate della Ricerca del Dipartimento di Economia di Roma Tre (xsd:string)
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  • In Giornate della Ricerca del Dipartimento di Economia di Roma Tre, edited by Romaniello, Davide and Piñeiro, Cristina Vaquero and Conigliani, Caterina and Trezzini, Attilio, 4, 45-67, RomaTre-Press, 2023 (xsd:string)
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  • European Union Statistics on Income and Living Conditions (EU-SILC) (xsd:string)
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  • 2023 (xsd:string)
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  • 67 (xsd:string)
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  • 4 (xsd:string)