Generalised mixed models for the study of unemployment in the large urban agglomerates of Argentina.

The aim of this analysis is to identify the socio-economic and demographics risk factors that affect the employment status in the main Argentine’s urban areas by a Generalized Linear Mixed Models. In this article, we present a technique to estimate a logistic model which has the possibility of inclu...

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Detalles Bibliográficos
Autores principales: García, Fernando, Díaz, Margarita
Formato: Artículo revista
Lenguaje:Español
Publicado: Instituto de Economía y Finanzas. Facultad de Ciencias Económicas. Universidada Nacional de Córdoba. 2011
Materias:
employment status
generalized linear mixed models
marginalized mixed models
C23
C51
J64
condición de empleo
modelo lineal generalizado mixto
marginalización del modelo mixto
Acceso en línea:https://revistas.unc.edu.ar/index.php/REyE/article/view/6510
Aporte de:
Revista de Economía y Estadística de Universidad Nacional de Córdoba
id I10-R326-article-6510
record_format ojs
spelling I10-R326-article-65102022-04-06T19:39:08Z Generalised mixed models for the study of unemployment in the large urban agglomerates of Argentina. Modelos mixtos generalizados para el estudio del desempleo en los grandes aglomerados urbanos de Argentina García, Fernando Díaz, Margarita employment status generalized linear mixed models marginalized mixed models C23 C51 J64 condición de empleo modelo lineal generalizado mixto marginalización del modelo mixto C23 C51 J64 The aim of this analysis is to identify the socio-economic and demographics risk factors that affect the employment status in the main Argentine’s urban areas by a Generalized Linear Mixed Models. In this article, we present a technique to estimate a logistic model which has the possibility of include fixed or random effects. In addition, it is possible to make the marginalization of the results in order to evaluate the marginal average evolution induced by the mixed model. The procedure is illustrated by using data from the Permanent Household Survey for the period 2004-2005. The results in this study provided similar findings to the above in a previous study in which we worked with a marginal model. El objetivo de este trabajo es identificar los factores de riesgo socioeconómicos y demográfico que influyen en la condición de empleo en los principales aglomerados urbanos de Argentina mediante un Modelo Lineal Generalizado Mixto. En este artículo se aplica un modelo logístico que incorpora efectos fijos y aleatorios y se evalúa la evolución promedio marginal inducida por el modelo a través de la marginalización de sus resultados. Para la estimación se utilizaron los datos prevenientes de la Encuesta Permanente de Hogares período 2004-2005. Para el conjunto de datos analizados, la modelación realizada proporcionó similares conclusiones a las arribadas en un estudio previo en el que se trabajó con un enfoque marginal. Instituto de Economía y Finanzas. Facultad de Ciencias Económicas. Universidada Nacional de Córdoba. 2011-06-01 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://revistas.unc.edu.ar/index.php/REyE/article/view/6510 10.55444/2451.7321.2011.v49.n1.6510 Revista de Economía y Estadística; Vol. 49 No. 1 (2011); 79-98 Revista de Economía y Estadística; Vol. 49 Núm. 1 (2011); 79-98 2451-7321 0034-8066 10.55444/2451.7321.2011.v49.n1 spa https://revistas.unc.edu.ar/index.php/REyE/article/view/6510/7595 Derechos de autor 2011 Fernando García, Margarita Díaz http://creativecommons.org/licenses/by-nc-nd/4.0
institution Universidad Nacional de Córdoba
institution_str I-10
repository_str R-326
container_title_str Revista de Economía y Estadística
language Español
format Artículo revista
topic employment status
generalized linear mixed models
marginalized mixed models
C23
C51
J64
condición de empleo
modelo lineal generalizado mixto
marginalización del modelo mixto
C23
C51
J64
spellingShingle employment status
generalized linear mixed models
marginalized mixed models
C23
C51
J64
condición de empleo
modelo lineal generalizado mixto
marginalización del modelo mixto
C23
C51
J64
García, Fernando
Díaz, Margarita
Generalised mixed models for the study of unemployment in the large urban agglomerates of Argentina.
topic_facet employment status
generalized linear mixed models
marginalized mixed models
C23
C51
J64
condición de empleo
modelo lineal generalizado mixto
marginalización del modelo mixto
C23
C51
J64
author García, Fernando
Díaz, Margarita
author_facet García, Fernando
Díaz, Margarita
author_sort García, Fernando
title Generalised mixed models for the study of unemployment in the large urban agglomerates of Argentina.
title_short Generalised mixed models for the study of unemployment in the large urban agglomerates of Argentina.
title_full Generalised mixed models for the study of unemployment in the large urban agglomerates of Argentina.
title_fullStr Generalised mixed models for the study of unemployment in the large urban agglomerates of Argentina.
title_full_unstemmed Generalised mixed models for the study of unemployment in the large urban agglomerates of Argentina.
title_sort generalised mixed models for the study of unemployment in the large urban agglomerates of argentina.
description The aim of this analysis is to identify the socio-economic and demographics risk factors that affect the employment status in the main Argentine’s urban areas by a Generalized Linear Mixed Models. In this article, we present a technique to estimate a logistic model which has the possibility of include fixed or random effects. In addition, it is possible to make the marginalization of the results in order to evaluate the marginal average evolution induced by the mixed model. The procedure is illustrated by using data from the Permanent Household Survey for the period 2004-2005. The results in this study provided similar findings to the above in a previous study in which we worked with a marginal model.
publisher Instituto de Economía y Finanzas. Facultad de Ciencias Económicas. Universidada Nacional de Córdoba.
publishDate 2011
url https://revistas.unc.edu.ar/index.php/REyE/article/view/6510
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first_indexed 2024-09-03T20:56:15Z
last_indexed 2024-09-03T20:56:15Z
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