Create a dataset of LC records and customs trade for trade-based money laundering pattern analysis
This project prepares detailed customs and banking data to support future analysis of trade-based money laundering in Bangladesh, with a particular focus on detecting import over-invoicing. It will match customs records with Letters of Credit to identify anomalies and generate evidence that can strengthen monitoring, regulation, and enforcement.
Researchers
Julia Cajal Grossi
Associate Professor in Economics, Geneva Graduate Institute (IHEID)
Golvine de Rochambeau
PhD researcher, Columbia University
Rocco Macchiavello
Professor of Management, London School of Economics and Political Science (LSE)