Gender-Specific Unemployment Sensitivity to the Economic Cycle at the Provincial Level in Spain

Authors

DOI:

https://doi.org/10.46661/rev.metodoscuant.econ.empresa.10840

Keywords:

Cyclical sensitivity, Gender, Regional unemployment, Spatial dependence, Common factors

Abstract

This study offers new insights into how different regions in Spain respond to changes in the economic cycle, providing a fresh perspective using quarterly data desegregated by provincial level and gender. We aim to identify which regions are affected the most by the economic fluctuations, disentangling the differences between men and women. Our research highlights the importance of considering both regional and gender-specific factors when creating labor policies that aim to mitigate the effects of economic cycles.  We estimate a dynamic panel data model that considers all components of the disparities in regional unemployment rates following the Vega and Elhorst's dynamic panel data model. Our findings show that men and women experience different levels of sensitivity to economic changes, which vary depending on the province without a definite geographical pattern. This confirms that gender unemployment rates are affected differently by economic cycles and demonstrates that these differences depend on geographical and regional factors, which is in line with previous literature. We shed light on the complex dynamics of the labor market within each region, highlighting the need to recalibrate policies based on the specific gender and regional cyclical sensitivity. Our findings advocate for the continued adoption of gender labor policies while also stressing the importance of customizing policies at the provincial level. Thus, our research underscores the need to continue developing regional analysis to perform policies that help population groups effectively switch off the consequences of economic fluctuations.

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Author Biographies

Alejandro Almeida, Universidad de Extremadura

He holds a PhD with a specialization in quantitative methods and is currently serving as the Director of Academic Projects and Innovation at the PROEDUCA Group. He has numerous publications in the field of spatial analysis techniques. His work focuses on the implementation and enhancement of innovative educational projects, as well as the application of advanced quantitative methods to solve complex problems in education and other sectors.

Juan Manuel Martín-Alvarez, Universidad Internacional de La Rioja (UNIR)

He is a PhD with a specialization in quantitative analysis for decision-making in economics and business issues. He has vast experience as a teacher in Statistics and Econometrics. Currently, he is working as an Associate Professor of quantitative methods for economics and business at International University of La Rioja (UNIR). Moreover, he is the head of the MSc in Business Intelligence program at UNIR. In the research field, he has published over 15 indexed articles with a particular focus on quantitative estimation methods and prediction.

Lara Mata, Universidad Internacional de La Rioja (UNIR)

She is a PhD holder with more than 10 years of experience teaching mathematics, statistics, and econometrics, among other subjects related to quantitative analysis. They work in the Department of Data Analytics and Innovation at the International University of La Rioja (UNIR). She has experience in the field of innovation and entrepreneurship, and she is a member of the GEM research group of the Community of La Rioja (Spain). Their research focuses on the analysis of information data related to educational innovation and entrepreneurship

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Published

2025-05-02

How to Cite

Galiano, A., Almeida, A., Martín Alvarez, J. M., & Mata Martínez, L. (2025). Gender-Specific Unemployment Sensitivity to the Economic Cycle at the Provincial Level in Spain. Journal of Quantitative Methods for Economics and Business Administration. https://doi.org/10.46661/rev.metodoscuant.econ.empresa.10840

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