Analysis of factors associated with employee dismissal in nonpublic companies in the Northeast
DOI:
https://doi.org/10.31501/rbee.v24i2.15248Abstract
This study compares Survival Analysis models to assess risk factors for employee dismissal in non-public companies in Brazil’s Northeast. Data were sourced from the 2015 Annual Socioeconomic Information List across all Northeast states. Findings show that most workers working in in these companies are Brazilian men, mixed race, Brazilians and aged between 18 and 39 years old. Workers in capitals and metropolitan regions have a salary range of up to three minimum periods and work from 41 to 44 hours per week. They are hired through reemployment, remain at the companies for approximately three months and are terminated due to unfair termination at the employer’s initiative. By comparing survival models with the Kaplan-Meier estimator and using the Akaike Information Criterion, the generalized gamma model emerged as the best fit. In the final model, key covariates included worker sex, age, race/color, and average salary range defined by minimum wage intervals.
Downloads
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Brazilian Journal of Business Economics

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The submission of a manuscript authorizes its publication by the Brazilian Journal of Business Economics/Revista Brasileira de Economia de Empresas and implies that it refers to original work, which is not currently submitted to any other journal. It is forbidden any reproduction, partial or total, by any other media, either press or digital, of the published papers. In this case, previous and necessary authorization must be requested. In case it is obtained, one must include a formal acknowledgement to the BJBE/RBEE, which is the first publisher of the paper. The BJBE/RBEE does not pay any copyright to the authors of published papers.
Copyright and Licensing
The copyrighter of the BJBE/RBEE is the Editora Universa of the Universidade Católica de Brasília.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Submitting an article authorizes its publication and implies a commitment that the same material will not be submitted to another journal.
The journal does not pay royalties to the authors of published articles.