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

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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 apro...

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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
id I10-R14111086-17902
record_format dspace
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 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.
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
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AT vargasjosem multilevelfactormodelsidentificationofthreelevelmodelparametersforthestudyofregionaldevelopmentinargentina
AT diazmargarita multilevelfactormodelsidentificationofthreelevelmodelparametersforthestudyofregionaldevelopmentinargentina
bdutipo_str Repositorios
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