Bank Location Modeling with Sparse Group Lasso
Published:Dec 29, 2025 08:26
•1 min read
•ArXiv
Analysis
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.
Key Takeaways
Reference
“The paper highlights a clustering effect in bank locations, especially at small scales, and uses socio-economic data to model the intensity function.”