Analysis of the predictors of unemployment of venezuelan migrants in the city of Barranquilla through a logistic regression model

This research sought to analyze the predictors of unemployment of Venezuelan migrants in Barranquilla through a logistic regression model. A correlational research is presented, in which a sample of 931 Venezuelan migrants in Barranquilla is taken, to whom an instrument aimed at sociodemographic elements linked to living conditions and employment status is applied. Regarding the statistical treatment, a logistic regression analysis is applied, which sought to determine which elements are predictors of unemployment of the migrant population. These findings show as outstanding elements: being active within the informal economy, performing economic activities recognized as trades and having owned a business in Venezuela. It is concluded that there is a condition of vulnerability in Venezuelan migrants as a result of being inserted in the informal sector, being the predictor factors those established in the regression model, with a level of significance.

• Autores: Ramirez, Javier; García, Jesus; Navarro, Evaristo; Niebles, William
• Tipo de recurso: Article of investigation
• Fecha de publicación: 2023
• Institución: Corporación Universidad de la Costa
• Repositorio: REDICUC - Repositorio CUC
• Idioma: eng
• OAI Identifier: oai:repositorio.cuc.edu.co:11323/13635
• Acceso en línea: https://hdl.handle.net/11323/13635; https://repositorio.cuc.edu.co/
• Palabra clave: Venezuelan migration; Unemployment; Vulnerability; Informal job; Colombia
• Rights: openAccess
• License: Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)