Multilevel factor models: Identification of three-level model parameters for the study of regional development in Argentina

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Fil: Díaz, María del Pilar. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Escuela de Nutrición, Argentina.

Detalles Bibliográficos
Autores principales:	Díaz, María del Pilar, Vargas, José M., Díaz, Margarita
Formato:	conferenceObject
Lenguaje:	Inglés
Publicado:	2021
Materias:	GLLAMM Latent variable CFA Socio-technological dimensions Identifiability
Acceso en línea:	http://hdl.handle.net/11086/17902
Aporte de:	Repositorio Digital Universitario (UNC) de Universidad Nacional de Córdoba

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spelling	I10-R141-11086-179022024-07-08T15:25:26Z Multilevel factor models: Identification of three-level model parameters for the study of regional development in Argentina Díaz, María del Pilar Vargas, José M. Díaz, Margarita GLLAMM Latent variable CFA Socio-technological dimensions Identifiability Fil: Díaz, María del Pilar. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Escuela de Nutrición, Argentina. Fil: Vargas, José M. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas. Instituto de Estadística y Demografía; Argentina. Fil: Vargas, José M. Universidad Nacional de Villa María. Instituto de Ciencias Básicas y Aplicadas; Argentina. Fil: Díaz, Margarita. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas. Instituto de Estadística y Demografía; Argentina. Based on a theoretical-social model which states that Communication and Information Technologies (CITs) infuence the human development, due to the impact they have on economic growth, this work explores the relationship between the social, economic and technological dimensions or constructs, in aprovince, Córdoba, of Argentina. Confirmatory common framework (GLLAMMs, Skrondal & Rabe-Hesketh, 2004) was performed considering three level modeling. This approach allowed us to identify some indicators that measure constructs and help characterize the level of development of our region using hierarchical information. Since the estimation method was based on full information maximum likelihood, we devoted special attention to the identifiability of the parameters. Two constructs to describe the socioeconomic and technological (SET) development at the district level were obtained. Due to correlation between the two latent variables at department level was near one, a new common factor model containing only one dimension was appropriate. Fil: Díaz, María del Pilar. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Escuela de Nutrición, Argentina. Fil: Vargas, José M. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas. Instituto de Estadística y Demografía; Argentina. Fil: Vargas, José M. Universidad Nacional de Villa María. Instituto de Ciencias Básicas y Aplicadas; Argentina. Fil: Díaz, Margarita. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas. Instituto de Estadística y Demografía; Argentina. Estadística y Probabilidad 2021-04-27T22:34:10Z 2021-04-27T22:34:10Z 2013-07 conferenceObject 978-88-96251-49-2 http://hdl.handle.net/11086/17902 eng Atribución-NoComercial-CompartirIgual 4.0 Internacional http://creativecommons.org/licenses/by-nc-sa/4.0/ Digital
institution	Universidad Nacional de Córdoba
institution_str	I-10
repository_str	R-141
collection	Repositorio Digital Universitario (UNC)
language	Inglés
topic	GLLAMM Latent variable CFA Socio-technological dimensions Identifiability
spellingShingle	GLLAMM Latent variable CFA Socio-technological dimensions Identifiability Díaz, María del Pilar Vargas, José M. Díaz, Margarita Multilevel factor models: Identification of three-level model parameters for the study of regional development in Argentina
topic_facet	GLLAMM Latent variable CFA Socio-technological dimensions Identifiability
description	Fil: Díaz, María del Pilar. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Escuela de Nutrición, Argentina.
format	conferenceObject
author	Díaz, María del Pilar Vargas, José M. Díaz, Margarita
author_facet	Díaz, María del Pilar Vargas, José M. Díaz, Margarita
author_sort	Díaz, María del Pilar
title	Multilevel factor models: Identification of three-level model parameters for the study of regional development in Argentina
title_short	Multilevel factor models: Identification of three-level model parameters for the study of regional development in Argentina
title_full	Multilevel factor models: Identification of three-level model parameters for the study of regional development in Argentina
title_fullStr	Multilevel factor models: Identification of three-level model parameters for the study of regional development in Argentina
title_full_unstemmed	Multilevel factor models: Identification of three-level model parameters for the study of regional development in Argentina
title_sort	multilevel factor models: identification of three-level model parameters for the study of regional development in argentina
publishDate	2021
url	http://hdl.handle.net/11086/17902
work_keys_str_mv	AT diazmariadelpilar multilevelfactormodelsidentificationofthreelevelmodelparametersforthestudyofregionaldevelopmentinargentina AT vargasjosem multilevelfactormodelsidentificationofthreelevelmodelparametersforthestudyofregionaldevelopmentinargentina AT diazmargarita multilevelfactormodelsidentificationofthreelevelmodelparametersforthestudyofregionaldevelopmentinargentina
_version_	1806949284958961664

Multilevel factor models: Identification of three-level model parameters for the study of regional development in Argentina

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