Longitudinal analysis methodologies to determine profiles of informal workers from Gran Córdoba

Autores
Iglesias, Maximiliano; Stimolo, María Inés
Año de publicación
2019
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Fil: Iglesias, Maximiliano. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.
Fil: Stimolo, María Inés. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.
One of the main limitations for the correct analysis of the labor market in developing countries from a temporal variability approach is the lack of appropriate panel data information. The purpose of this article is to develop statistical methodologies that make it possible to incorporate the temporal dimension as a key factor to carry out the most complete possible analysis of the dynamics and structure of the problem under study, as well as the relationship between its multiple factors and determinants. The pseudo-panel approach allows overcoming the limitation of data availability through the building of synthetic panels and measuring the temporal evolution of characteristics of interest in cohorts of individuals and the building of “variables-trajectories”. The temporal clustering approach, based on the non-parametric k-means algorithm, combines content similarities and temporal adjacency in a single representation, which makes it possible to find cohort groups of homogeneous individuals in relation to the joint trajectories of their characteristics. With the results obtained according to the exploratory analysis, we could identify three well-defined groups based on the temporal trajectories of their informality rates and income levels.
Fil: Iglesias, Maximiliano. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.
Fil: Stimolo, María Inés. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.
Estadística y Probabilidad
Materia
Clúster longitudinal
Panel data
Labor informality
Nivel de accesibilidad
acceso abierto
Condiciones de uso
Repositorio
Repositorio Digital Universitario (UNC)
Institución
Universidad Nacional de Córdoba
OAI Identificador
oai:rdu.unc.edu.ar:11086/552576
Acceder
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oai_identifier_str oai:rdu.unc.edu.ar:11086/552576
network_acronym_str RDUUNC
repository_id_str 2572
network_name_str Repositorio Digital Universitario (UNC)
spelling Longitudinal analysis methodologies to determine profiles of informal workers from Gran CórdobaIglesias, MaximilianoStimolo, María InésClúster longitudinalPanel dataLabor informalityFil: Iglesias, Maximiliano. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.Fil: Stimolo, María Inés. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.One of the main limitations for the correct analysis of the labor market in developing countries from a temporal variability approach is the lack of appropriate panel data information. The purpose of this article is to develop statistical methodologies that make it possible to incorporate the temporal dimension as a key factor to carry out the most complete possible analysis of the dynamics and structure of the problem under study, as well as the relationship between its multiple factors and determinants. The pseudo-panel approach allows overcoming the limitation of data availability through the building of synthetic panels and measuring the temporal evolution of characteristics of interest in cohorts of individuals and the building of “variables-trajectories”. The temporal clustering approach, based on the non-parametric k-means algorithm, combines content similarities and temporal adjacency in a single representation, which makes it possible to find cohort groups of homogeneous individuals in relation to the joint trajectories of their characteristics. With the results obtained according to the exploratory analysis, we could identify three well-defined groups based on the temporal trajectories of their informality rates and income levels.Fil: Iglesias, Maximiliano. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.Fil: Stimolo, María Inés. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.Estadística y Probabilidadhttps://orcid.org/0000-0002-8957-8321https://orcid.org/0000-0001-7277-16382019info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf0327-9170http://hdl.handle.net/11086/552576enghttps://inmabb.conicet.gob.ar/publicaciones/actas-del-congreso-monteiro/15info:eu-repo/semantics/openAccessreponame:Repositorio Digital Universitario (UNC)instname:Universidad Nacional de Córdobainstacron:UNC2025-09-29T13:41:27Zoai:rdu.unc.edu.ar:11086/552576Institucionalhttps://rdu.unc.edu.ar/Universidad públicaNo correspondehttp://rdu.unc.edu.ar/oai/snrdoca.unc@gmail.comArgentinaNo correspondeNo correspondeNo correspondeopendoar:25722025-09-29 13:41:28.045Repositorio Digital Universitario (UNC) - Universidad Nacional de Córdobafalse
dc.title.none.fl_str_mv Longitudinal analysis methodologies to determine profiles of informal workers from Gran Córdoba
title Longitudinal analysis methodologies to determine profiles of informal workers from Gran Córdoba
spellingShingle Longitudinal analysis methodologies to determine profiles of informal workers from Gran Córdoba
Iglesias, Maximiliano
Clúster longitudinal
Panel data
Labor informality
title_short Longitudinal analysis methodologies to determine profiles of informal workers from Gran Córdoba
title_full Longitudinal analysis methodologies to determine profiles of informal workers from Gran Córdoba
title_fullStr Longitudinal analysis methodologies to determine profiles of informal workers from Gran Córdoba
title_full_unstemmed Longitudinal analysis methodologies to determine profiles of informal workers from Gran Córdoba
title_sort Longitudinal analysis methodologies to determine profiles of informal workers from Gran Córdoba
dc.creator.none.fl_str_mv Iglesias, Maximiliano
Stimolo, María Inés
author Iglesias, Maximiliano
author_facet Iglesias, Maximiliano
Stimolo, María Inés
author_role author
author2 Stimolo, María Inés
author2_role author
dc.contributor.none.fl_str_mv https://orcid.org/0000-0002-8957-8321
https://orcid.org/0000-0001-7277-1638
dc.subject.none.fl_str_mv Clúster longitudinal
Panel data
Labor informality
topic Clúster longitudinal
Panel data
Labor informality
dc.description.none.fl_txt_mv Fil: Iglesias, Maximiliano. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.
Fil: Stimolo, María Inés. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.
One of the main limitations for the correct analysis of the labor market in developing countries from a temporal variability approach is the lack of appropriate panel data information. The purpose of this article is to develop statistical methodologies that make it possible to incorporate the temporal dimension as a key factor to carry out the most complete possible analysis of the dynamics and structure of the problem under study, as well as the relationship between its multiple factors and determinants. The pseudo-panel approach allows overcoming the limitation of data availability through the building of synthetic panels and measuring the temporal evolution of characteristics of interest in cohorts of individuals and the building of “variables-trajectories”. The temporal clustering approach, based on the non-parametric k-means algorithm, combines content similarities and temporal adjacency in a single representation, which makes it possible to find cohort groups of homogeneous individuals in relation to the joint trajectories of their characteristics. With the results obtained according to the exploratory analysis, we could identify three well-defined groups based on the temporal trajectories of their informality rates and income levels.
Fil: Iglesias, Maximiliano. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.
Fil: Stimolo, María Inés. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.
Estadística y Probabilidad
description Fil: Iglesias, Maximiliano. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.
publishDate 2019
dc.date.none.fl_str_mv 2019
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info:eu-repo/semantics/publishedVersion
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format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv 0327-9170
http://hdl.handle.net/11086/552576
identifier_str_mv 0327-9170
url http://hdl.handle.net/11086/552576
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://inmabb.conicet.gob.ar/publicaciones/actas-del-congreso-monteiro/15
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositorio Digital Universitario (UNC)
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reponame_str Repositorio Digital Universitario (UNC)
collection Repositorio Digital Universitario (UNC)
instname_str Universidad Nacional de Córdoba
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repository.name.fl_str_mv Repositorio Digital Universitario (UNC) - Universidad Nacional de Córdoba
repository.mail.fl_str_mv oca.unc@gmail.com
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