Determine the impact of wages on the rate of economically active people in Sinaloa from 2012 to 2023 using an econometric model
Andrés Gálvez-Rodríguez and
José-de-Jesús López-López
Additional contact information
Andrés Gálvez-Rodríguez: Tecnológico Nacional de México/Instituto Tecnológico Superior de Guasave, Guasave, Sinaloa, México, Universidad Autónoma Indígena de México, Los Mochis, Sinaloa, México
José-de-Jesús López-López: Universidad Autónoma de Sinaloa, Guasave, Sinaloa, México
Technium Social Sciences Journal, 2025, vol. 69, issue 1, 369-378
Abstract:
The study examined the impact of the minimum wage on the participation of the economically active population (EAP) in Sinaloa between 2012 and 2023, using a linear regression model to analyse its relationship with variables such as GDP, inflation, interest rates and foreign direct investment. The findings revealed that the minimum wage has a positive and significant effect on labour participation, with a coefficient of 0.0147 (p=0.0023), while GDP also showed a positive influence, although other macroeconomic variables were not statistically significant. The model obtained an adjusted R² of 93.9%, highlighting its explanatory power, although factors such as inflation and foreign direct investment were not determinant, possibly due to the regional context and local economic structure. Limitations such as a 12-year observation period and the exclusion of variables such as educational level or gender were noted. In conclusion, the minimum wage is a key tool to encourage labour participation, but its effectiveness is conditional on the balance with economic growth, recommending sustainable wage policies, promotion of regional development and broader and longitudinal studies to better understand labour dynamics.
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://techniumscience.com/index.php/socialsciences/article/view/12499 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:tec:journl:ojs:12499
DOI: 10.47577/tssj.v69i1.12499
Access Statistics for this article
Technium Social Sciences Journal is currently edited by Tasente Tanase
More articles in Technium Social Sciences Journal from Technium Science
Bibliographic data for series maintained by Tasente Tanase ( this e-mail address is bad, please contact ).