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Using forensic analytics and machine learning to detect bribe payments in regime-switching environments: Evidence from the India demonetization

We use a rich set of transaction data from a large retailer in India and a dataset on bribe payments to train random forest and XGBoost models using empirical measures guided by Benford’s Law, a commonly used tool in forensic analytics. We evaluate the performance around the 2016 Indian Demonetizati...

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Detalles Bibliográficos
Autores principales: Charoenwong, Ben, Reddy, Pooja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9182657/
https://www.ncbi.nlm.nih.gov/pubmed/35679293
http://dx.doi.org/10.1371/journal.pone.0268965