Labor market forecasting in unprecedented times: A machine learning approach

The COVID-19 pandemic ushered in unprecedented social and economic conditions, alongside unexpected policy responses, challenging the effectiveness of traditional labor market forecasting approaches. This article presents a novel approach that integrates macroeconomic variables, traditional labor ma...

Full description

Autores:

Orozco Castañeda, Johanna Marcela
Sierra Suárez, Lya Paola
Vidal Alejandro, Pavel

Tipo de recurso:

Article of investigation

Fecha de publicación:

2024

Institución:

Universidad de Antioquia

Repositorio:

Repositorio UdeA

Idioma:

eng

OAI Identifier:

oai:bibliotecadigital.udea.edu.co:10495/46924

Acceso en línea:

https://hdl.handle.net/10495/46924

Palabra clave:

COVID-19 Pandemic, 2020-2023
Predicción
Forecasting
Aprendizaje Automático
Machine learning
https://id.nlm.nih.gov/mesh/D014478
COVID-19
Desempleo
Unemployment
http://id.loc.gov/authorities/subjects/sh2020008759
https://id.nlm.nih.gov/mesh/D005544
https://id.nlm.nih.gov/mesh/D000069550
https://id.nlm.nih.gov/mesh/D000086382

Rights

openAccess

License

http://creativecommons.org/licenses/by-nc-nd/4.0/