Prediction of transition probability from unemployment to employment in argentina (2003-2019)

Prediction of transition probability from unemployment to employment in argentina (2003-2019)

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Fil: Staudt, Agustín. Ministry of Productive Development of Argentina; Argentina.

Bibliographic Details
Main Authors: Staudt, Agustín, Heredia, Juan Luis
Format: info:eu-repo/semantics/article
Language:English
Published: Universidad Nacional de Misiones. Facultad de Ciencias Económicas. Programa de Posgrado en Administración 2021
Subjects:
Gender
Employment
Inequality
Machine
Learning
Online Access:https://hdl.handle.net/20.500.12219/3567
id ir-20.500.12219-3567
record_format dspace
spelling ir-20.500.12219-35672023-12-29T14:02:14Z Prediction of transition probability from unemployment to employment in argentina (2003-2019) Staudt, Agustín Heredia, Juan Luis Gender Employment Inequality Machine Learning Fil: Staudt, Agustín. Ministry of Productive Development of Argentina; Argentina. Fil: Heredia, Juan Luis. MisES Consulting; Argentina. Despite their growing participation in the labor market, women who decide to go out and look for a job face greater difficulties in obtaining it. The participation of women in the labor force is considerably lower, even if entering the labor market the possibility of actually finding a job is also less than the chance that men have of doing so (CIPPEC, 2019). Being able to predict the probability of occupational insertion of men and women, and inquire about the factors that influence this probability, is essential in order to understand gender gaps in the labor market, helping to improve the design and implementation of public policies with a gender perspective, with the final goal to achieve equality of opportunities. In this framework, the present work will seek to predict the probability of transition from unemployment to the employment in Argentina from 2003 to 2019, using the Permanent Household Survey, based on traditional prediction techniques and Machine Learning, with the objective to find the most robust model that achieves the highest level of accuracy. 2021-11-01 info:eu-repo/semantics/article info:ar-repo/semantics/artículo info:eu-repo/semantics/publishedVersion https://hdl.handle.net/20.500.12219/3567 eng info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.36995/j.visiondefuturo.2021.25.02R.001.en info:eu-repo/semantics/altIdentifier/urn/https://revistacientifica.fce.unam.edu.ar/index.php/visiondefuturo/article/view/477/353 info:eu-repo/semantics/openAccess application/pdf application/pdf 436.8 KB Universidad Nacional de Misiones. Facultad de Ciencias Económicas. Programa de Posgrado en Administración
institution Universidad Nacional de Misiones
collection Repositorio RIDUNaM
language English
topic Gender
Employment
Inequality
Machine
Learning
spellingShingle Gender
Employment
Inequality
Machine
Learning
Staudt, Agustín
Heredia, Juan Luis
Prediction of transition probability from unemployment to employment in argentina (2003-2019)
description Fil: Staudt, Agustín. Ministry of Productive Development of Argentina; Argentina.
format info:eu-repo/semantics/article
author Staudt, Agustín
Heredia, Juan Luis
author_facet Staudt, Agustín
Heredia, Juan Luis
author_sort Staudt, Agustín
title Prediction of transition probability from unemployment to employment in argentina (2003-2019)
title_short Prediction of transition probability from unemployment to employment in argentina (2003-2019)
title_full Prediction of transition probability from unemployment to employment in argentina (2003-2019)
title_fullStr Prediction of transition probability from unemployment to employment in argentina (2003-2019)
title_full_unstemmed Prediction of transition probability from unemployment to employment in argentina (2003-2019)
title_sort prediction of transition probability from unemployment to employment in argentina (2003-2019)
publisher Universidad Nacional de Misiones. Facultad de Ciencias Económicas. Programa de Posgrado en Administración
publishDate 2021
url https://hdl.handle.net/20.500.12219/3567
work_keys_str_mv AT staudtagustin predictionoftransitionprobabilityfromunemploymenttoemploymentinargentina20032019
AT herediajuanluis predictionoftransitionprobabilityfromunemploymenttoemploymentinargentina20032019
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