Bank Location Modeling with Sparse Group Lasso

This paper applies a statistical method (sparse group Lasso) to model the spatial distribution of bank locations in France, differentiating between lucrative and cooperative banks. It uses socio-economic data to explain the observed patterns, providing insights into the banking sector and potentially validating theories of institutional isomorphism. The use of web scraping for data collection and the focus on non-parametric and parametric methods for intensity estimation are noteworthy.

• •Models bank locations using a bivariate spatial point process.
• •Employs sparse group Lasso for intensity estimation.
• •Uses socio-economic data as covariates.
• •Provides insights into the differences between lucrative and cooperative banks.
• •Applies to the banking sector in mainland France.