Discriminación de género en redes laborales: Gender discrimination in work networks

César Vladimir Martínez-Arango; Coralia Azucena Quintero-Rojas; Lari Arthur Viianto

doi:10.29105/ensayos34.2-1

Authors

César Vladimir Martínez-Arango Universidad de Guanajuato
Coralia Azucena Quintero-Rojas Departamento de Economía y Finanzas (DCEA), Universidad de Guanajuato
Lari Arthur Viianto Departamento de Economía y Finanzas (DCEA), Universidad de Guanajuato

DOI:

https://doi.org/10.29105/ensayos34.2-1

Keywords:

Gender Discrimination, Labor Market, Social Networks, Agent-Based Modeling

Abstract

This work circumscribes to the literature of Agent-Based Models (MBA) and its main objective is to analyze the differences in the labor market performance of men and women, under the assumption that there is a cultural difference in the way that society treats each gender. For this purpose, we develop a model of information transfer through a fixed social network. Its nodes correspond to pairs of man and woman in the labor force. This model is used to assess the impact of gender roles on the labor market. Our results from simulations show that, even without salary or job discrimination, gender roles have a negative impact on gender gaps concerning unemployment, participation and the probability of being hired through the network.

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Author Biographies

César Vladimir Martínez-Arango, Universidad de Guanajuato

Universidad de Guanajuato (Proyecto: Estudios de prospectiva educativa para la Universidad de Guanajuato). Dirección: Lascuraín de Retana No. 5 Zona Centro. C. P. 36000, Guanajuato, Gto.

Coralia Azucena Quintero-Rojas, Departamento de Economía y Finanzas (DCEA), Universidad de Guanajuato

Departamento de Economía y Finanzas (DCEA), Universidad de Guanajuato. Dirección: Campus Marfil Guanajuato, Gto. 36250 México

Lari Arthur Viianto, Departamento de Economía y Finanzas (DCEA), Universidad de Guanajuato

Departamento de Economía y Finanzas (DCEA), Universidad de Guanajuato. Dirección: Campus Marfil Guanajuato, Gto. 36250 México.

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