Earnings trajectories during a crisis in a segmented labor market: Argentina (2019–2023)

Autores
Salvia, Hector Agustin; Poy Piñeiro, Santiago
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This study aims to dynamically analyze changes in labor income in Argentina before, during,and after the COVID-19 pandemic, in order to characterize the economic trajectories ofworkers and assess their relationship with occupational inequality during such period. Byemploying panel data from a national urban survey, we implemented a novel methodologicalstrategy that combines latent growth curve (LGC) models to define income trajectories andmultinomial logistic regression analysis so as to evaluate the determinants of these trajectories. After extensive analysis, the results confirm the existence of divergent trajectories. Onthe one hand, downward trajectories primarily affect socially disadvantaged workers in theinformal sector. On the other hand, stable or upward trajectories are observed mainly amongindividuals employed in formal economic units, particularly those with medium or high levelsof education. These findings support the literature that highlights the regressive impact oflabor market segmentation and social inequalities on income and employment opportunitiesfor certain groups of workers in economies characterized by structural heterogeneities atboth the productive and occupational levels.
Fil: Salvia, Hector Agustin. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires". Secretaría Académica. Dirección de Investigaciones. Programa del Observatorio de la Deuda Social Argentina; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Poy Piñeiro, Santiago. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires". Secretaría Académica. Dirección de Investigaciones. Programa del Observatorio de la Deuda Social Argentina; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Labor market segmentation
Earnings trajectories
Informal employment
COVID-19
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/264348
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Earnings trajectories during a crisis in a segmented labor market: Argentina (2019–2023)Salvia, Hector AgustinPoy Piñeiro, SantiagoLabor market segmentationEarnings trajectoriesInformal employmentCOVID-19https://purl.org/becyt/ford/5.2https://purl.org/becyt/ford/5This study aims to dynamically analyze changes in labor income in Argentina before, during,and after the COVID-19 pandemic, in order to characterize the economic trajectories ofworkers and assess their relationship with occupational inequality during such period. Byemploying panel data from a national urban survey, we implemented a novel methodologicalstrategy that combines latent growth curve (LGC) models to define income trajectories andmultinomial logistic regression analysis so as to evaluate the determinants of these trajectories. After extensive analysis, the results confirm the existence of divergent trajectories. Onthe one hand, downward trajectories primarily affect socially disadvantaged workers in theinformal sector. On the other hand, stable or upward trajectories are observed mainly amongindividuals employed in formal economic units, particularly those with medium or high levelsof education. These findings support the literature that highlights the regressive impact oflabor market segmentation and social inequalities on income and employment opportunitiesfor certain groups of workers in economies characterized by structural heterogeneities atboth the productive and occupational levels.Fil: Salvia, Hector Agustin. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires". Secretaría Académica. Dirección de Investigaciones. Programa del Observatorio de la Deuda Social Argentina; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Poy Piñeiro, Santiago. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires". Secretaría Académica. Dirección de Investigaciones. Programa del Observatorio de la Deuda Social Argentina; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaNature2025-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/264348Salvia, Hector Agustin; Poy Piñeiro, Santiago; Earnings trajectories during a crisis in a segmented labor market: Argentina (2019–2023); Nature; Humanities and Social Sciences Communications; 12; 1; 5-2025; 1-122662-9992CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s41599-025-04968-9info:eu-repo/semantics/altIdentifier/doi/10.1057/s41599-025-04968-9info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:46:49Zoai:ri.conicet.gov.ar:11336/264348instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:46:50.255CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Earnings trajectories during a crisis in a segmented labor market: Argentina (2019–2023)
title Earnings trajectories during a crisis in a segmented labor market: Argentina (2019–2023)
spellingShingle Earnings trajectories during a crisis in a segmented labor market: Argentina (2019–2023)
Salvia, Hector Agustin
Labor market segmentation
Earnings trajectories
Informal employment
COVID-19
title_short Earnings trajectories during a crisis in a segmented labor market: Argentina (2019–2023)
title_full Earnings trajectories during a crisis in a segmented labor market: Argentina (2019–2023)
title_fullStr Earnings trajectories during a crisis in a segmented labor market: Argentina (2019–2023)
title_full_unstemmed Earnings trajectories during a crisis in a segmented labor market: Argentina (2019–2023)
title_sort Earnings trajectories during a crisis in a segmented labor market: Argentina (2019–2023)
dc.creator.none.fl_str_mv Salvia, Hector Agustin
Poy Piñeiro, Santiago
author Salvia, Hector Agustin
author_facet Salvia, Hector Agustin
Poy Piñeiro, Santiago
author_role author
author2 Poy Piñeiro, Santiago
author2_role author
dc.subject.none.fl_str_mv Labor market segmentation
Earnings trajectories
Informal employment
COVID-19
topic Labor market segmentation
Earnings trajectories
Informal employment
COVID-19
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.2
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv This study aims to dynamically analyze changes in labor income in Argentina before, during,and after the COVID-19 pandemic, in order to characterize the economic trajectories ofworkers and assess their relationship with occupational inequality during such period. Byemploying panel data from a national urban survey, we implemented a novel methodologicalstrategy that combines latent growth curve (LGC) models to define income trajectories andmultinomial logistic regression analysis so as to evaluate the determinants of these trajectories. After extensive analysis, the results confirm the existence of divergent trajectories. Onthe one hand, downward trajectories primarily affect socially disadvantaged workers in theinformal sector. On the other hand, stable or upward trajectories are observed mainly amongindividuals employed in formal economic units, particularly those with medium or high levelsof education. These findings support the literature that highlights the regressive impact oflabor market segmentation and social inequalities on income and employment opportunitiesfor certain groups of workers in economies characterized by structural heterogeneities atboth the productive and occupational levels.
Fil: Salvia, Hector Agustin. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires". Secretaría Académica. Dirección de Investigaciones. Programa del Observatorio de la Deuda Social Argentina; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Poy Piñeiro, Santiago. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires". Secretaría Académica. Dirección de Investigaciones. Programa del Observatorio de la Deuda Social Argentina; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description This study aims to dynamically analyze changes in labor income in Argentina before, during,and after the COVID-19 pandemic, in order to characterize the economic trajectories ofworkers and assess their relationship with occupational inequality during such period. Byemploying panel data from a national urban survey, we implemented a novel methodologicalstrategy that combines latent growth curve (LGC) models to define income trajectories andmultinomial logistic regression analysis so as to evaluate the determinants of these trajectories. After extensive analysis, the results confirm the existence of divergent trajectories. Onthe one hand, downward trajectories primarily affect socially disadvantaged workers in theinformal sector. On the other hand, stable or upward trajectories are observed mainly amongindividuals employed in formal economic units, particularly those with medium or high levelsof education. These findings support the literature that highlights the regressive impact oflabor market segmentation and social inequalities on income and employment opportunitiesfor certain groups of workers in economies characterized by structural heterogeneities atboth the productive and occupational levels.
publishDate 2025
dc.date.none.fl_str_mv 2025-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/264348
Salvia, Hector Agustin; Poy Piñeiro, Santiago; Earnings trajectories during a crisis in a segmented labor market: Argentina (2019–2023); Nature; Humanities and Social Sciences Communications; 12; 1; 5-2025; 1-12
2662-9992
CONICET Digital
CONICET
url http://hdl.handle.net/11336/264348
identifier_str_mv Salvia, Hector Agustin; Poy Piñeiro, Santiago; Earnings trajectories during a crisis in a segmented labor market: Argentina (2019–2023); Nature; Humanities and Social Sciences Communications; 12; 1; 5-2025; 1-12
2662-9992
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s41599-025-04968-9
info:eu-repo/semantics/altIdentifier/doi/10.1057/s41599-025-04968-9
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Nature
publisher.none.fl_str_mv Nature
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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