Publicación: Enlarging of the Sample to Address Multicollinearity
Fecha
2025-04-16
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info:eu-repo/semantics/openAccess
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Springer
Resumen
This paper analyzes the impact of sample enlargement on the mitigation of collinearity, concluding that it may mitigate the consequences of collinearity related to statistical analysis but not necessarily the numerical instability. This issue is important in teaching social sciences as it relates to one widely accepted solution for addressing multicollinearity. For a better understanding and illustration of the contribution made by this paper, two empirical examples and two simulations are presented and not highly technical developments are used.
Descripción
The registered version of this article, first published in “Computational Economics, 2025", is available online at the publisher's website: Springer, https://doi.org/10.1007/s10614-025-10920-5
La versión registrada de este artículo, publicado por primera vez en “Computational Economics, 2025", está disponible en línea en el sitio web del editor: Springer, https://doi.org/10.1007/s10614-025-10920-5
Categorías UNESCO
Palabras clave
enlarging the sample, multicollinearity, statistical analysis, numerical instability
Citación
Salmerón-Gómez, R., García-García, C.B. & Rodríguez-Sánchez, A. Enlarging of the Sample to Address Multicollinearity. Comput Econ (2025). https://doi.org/10.1007/s10614-025-10920-5
Centro
Facultad de Ciencias Económicas y Empresariales
Departamento
Economía Aplicada e Historia Económica