A static and dynamic assessment of unemployment in Argentina (2003-2019)
This paper studies the observable characteristics that determine the duration of an individual’s unemployment in Argentina for the period from 2003 to 2019. The main objective is to present in a systematic and ordered way the unemployment statistics to characterize that period. Using duration model...
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2022
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oai:oai.revistas.uns.edu.ar:article-30122023-03-09T22:07:27Z A static and dynamic assessment of unemployment in Argentina (2003-2019) Una evaluación estática y dinámica del desempleo en Argentina (2003-2019) Favata, Federico Montes-Rojas, Gabriel Zack, Guido Mercado laboral Desempleo Sectores Género EPH Estadísticas Labor market Unemployment Sectors Gender EPH Statistic This paper studies the observable characteristics that determine the duration of an individual’s unemployment in Argentina for the period from 2003 to 2019. The main objective is to present in a systematic and ordered way the unemployment statistics to characterize that period. Using duration models (Exponential, Weibull and Cox proportional models) we obtain that the age of the person is one of the variables that most affect this period, where the older the person is, the higher the probability of remaining unemployed. In addition to there being a significant difference by region and sex, those individuals who are heads of household reduce the probability of survival in the state of unemployment. Finally, there is no empirical evidence that the sector in which one previously worked influences the duration of job search. Este trabajo estudia las características observables que determinan la duración de un individuo dentro del desempleo en Argentina para el período comprendido entre 2003 y 2019. El principal objetivo es presentar de una forma sistemática y ordenada las estadísticas sobre desempleo para caracterizar dicho período. Utilizando modelos de duración (Exponencial, Weibull y proporcionales de Cox) se obtiene que la edad de la persona es una de las variables que más inciden en dicho lapso, donde a mayor edad más aumenta la probabilidad de quedarse dentro del desempleo. Además de existir una diferencia significativa por región y por sexo, aquellos individuos que son jefe/a de hogar reducen la probabilidad de seguir en el estado de desocupación. Finalmente, no se halla evidencia empírica de que el sector donde se trabajó anteriormente influya en la duración de la búsqueda de empleo. EdiUNS 2022-12-28 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Artículo evaluado por pares application/pdf https://revistas.uns.edu.ar/ee/article/view/3012 10.52292/j.estudecon.2023.3012 Estudios económicos; Vol. 40 No. 80 (2023); 77-104 Estudios económicos; Vol. 40 Núm. 80 (2023); 77-104 Estudios económicos; v. 40 n. 80 (2023); 77-104 2525-1295 0425-368X spa https://revistas.uns.edu.ar/ee/article/view/3012/2115 Derechos de autor 2022 Atribución-No Comercial 4.0 Unported (CC BY-NC 4.0) de Creative Commons. http://creativecommons.org/licenses/by-nc/4.0 |
| institution |
UNS |
| collection |
Biblioteca Digital Académica |
| building |
Biblioteca Central Biblioteca de Economía |
| bda_str |
Estudios Económicos |
| hierarchy_parent_id |
bda_ee |
| hierarchy_parent_title |
Estudios Económicos |
| hierarchy_top_id |
bda_str |
| hierarchy_top_title |
Biblioteca Digital Académica |
| first_indexed |
2018-08-22T17:39:27Z |
| last_indexed |
2018-08-22T17:39:27Z |
| language |
spa |
| format |
Online |
| author |
Favata, Federico Montes-Rojas, Gabriel Zack, Guido |
| spellingShingle |
Favata, Federico Montes-Rojas, Gabriel Zack, Guido A static and dynamic assessment of unemployment in Argentina (2003-2019) |
| author_facet |
Favata, Federico Montes-Rojas, Gabriel Zack, Guido |
| author_sort |
Favata, Federico |
| title |
A static and dynamic assessment of unemployment in Argentina (2003-2019) |
| title_short |
A static and dynamic assessment of unemployment in Argentina (2003-2019) |
| title_full |
A static and dynamic assessment of unemployment in Argentina (2003-2019) |
| title_fullStr |
A static and dynamic assessment of unemployment in Argentina (2003-2019) |
| title_full_unstemmed |
A static and dynamic assessment of unemployment in Argentina (2003-2019) |
| title_sort |
static and dynamic assessment of unemployment in argentina (2003-2019) |
| topic_facet |
Mercado laboral Desempleo Sectores Género EPH Estadísticas Labor market Unemployment Sectors Gender EPH Statistic |
| description |
This paper studies the observable characteristics that determine the duration of an individual’s unemployment in Argentina for the period from 2003 to 2019. The main objective is to present in a systematic and ordered way the unemployment statistics to characterize that period. Using duration models (Exponential, Weibull and Cox proportional models) we obtain that the age of the person is one of the variables that most affect this period, where the older the person is, the higher the probability of remaining unemployed. In addition to there being a significant difference by region and sex, those individuals who are heads of household reduce the probability of survival in the state of unemployment. Finally, there is no empirical evidence that the sector in which one previously worked influences the duration of job search. |
| publisher |
EdiUNS |
| publishDate |
2022 |
| url |
https://revistas.uns.edu.ar/ee/article/view/3012 |
| _version_ |
1760274142816370688 |
| score |
12,614403 |