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

Fil: Iglesias, Maximiliano. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.

Bibliographic Details
Main Authors: Iglesias, Maximiliano, Stimolo, María Inés
Other Authors: https://orcid.org/0000-0002-8957-8321
Format: conferenceObject
Language:eng
Published: 2024
Subjects:
Online Access:http://hdl.handle.net/11086/552576
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author Iglesias, Maximiliano
Stimolo, María Inés
author2 https://orcid.org/0000-0002-8957-8321
author_facet https://orcid.org/0000-0002-8957-8321
Iglesias, Maximiliano
Stimolo, María Inés
author_sort Iglesias, Maximiliano
collection Repositorio Digital Universitario
description Fil: Iglesias, Maximiliano. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.
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language eng
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spelling rdu-unc.5525762024-07-10T12:05:10Z Longitudinal analysis methodologies to determine profiles of informal workers from Gran Córdoba Iglesias, Maximiliano Stimolo, María Inés https://orcid.org/0000-0002-8957-8321 https://orcid.org/0000-0001-7277-1638 Clúster longitudinal Panel data Labor informality 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 2024-07-04T19:17:57Z 2024-07-04T19:17:57Z 2019 conferenceObject 0327-9170 http://hdl.handle.net/11086/552576 eng https://inmabb.conicet.gob.ar/publicaciones/actas-del-congreso-monteiro/15 Licencia Creative Commons Atribución-NoComercial-CompartirIgual 4.0 Internacional http://creativecommons.org/licenses/by-nc-sa/4.0/ Electrónico y/o Digital
spellingShingle Clúster longitudinal
Panel data
Labor informality
Iglesias, Maximiliano
Stimolo, María Inés
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
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_short 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 cordoba
topic Clúster longitudinal
Panel data
Labor informality
url http://hdl.handle.net/11086/552576
work_keys_str_mv AT iglesiasmaximiliano longitudinalanalysismethodologiestodetermineprofilesofinformalworkersfromgrancordoba
AT stimolomariaines longitudinalanalysismethodologiestodetermineprofilesofinformalworkersfromgrancordoba