Longitudinal analysis methodologies to determine profiles of informal workers from Gran Córdoba
Fil: Iglesias, Maximiliano. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina.
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Format: | conferenceObject |
Language: | eng |
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2024
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Online Access: | http://hdl.handle.net/11086/552576 |
_version_ | 1806011982624587776 |
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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. |
format | conferenceObject |
id | rdu-unc.552576 |
institution | Universidad Nacional de Cordoba |
language | eng |
publishDate | 2024 |
record_format | dspace |
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 |