Enlarging of the sample to address multicollinearity
Applications
2024-07-02 v1
Abstract
The paper analyzes how the enlarging of the sample affects to the mitigation of collinearity concluding that it may mitigate the consequences of collinearity related to statistical analysis but not necessarily the numerical instability. The problem that is addressed is of importance in the teaching of social sciences since it discusses one of the solutions proposed almost unanimously to solve the problem of multicollinearity. For a better understanding and illustration of the contribution of this paper, two empirical examples are presented and not highly technical developments are used.
Cite
@article{arxiv.2407.01172,
title = {Enlarging of the sample to address multicollinearity},
author = {Román Salmerón Gómez and Catalina García García and Ainara Rodríguez Sánchez},
journal= {arXiv preprint arXiv:2407.01172},
year = {2024}
}
Comments
11 pages, 2 tables, working paper