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.