FEDS Paper: CardSim: A Bayesian Simulator for Payment Card Fraud Detection Research

Jeffrey S. AllenPayment fraud has been high in recent years, and as criminals gain access to capability-enhancing generative AI tools, there is a growing need for innovative fraud detection research. However, the pace, diversity, and reproducibility of such research are inhibited by the dearth of publicly available payment transaction data. A few payment simulation methodologies have been developed to help narrow the payment transaction data gap without compromising important data privacy and security expectations.

IFDP Paper: How do Firms in Different Sectors Organize their Supply Chains? Evidence from Transaction-Level Import Data

Sebastian Heise, Justin R. Pierce, Georg Schaur, and Peter K. SchottHeise et al. (2021) develop a model-based empirical measure—sellers per shipment (SPS)—to characterize how firms organize supply chains in response to a quality control problem. High SPS indicates spot-market purchasing with costly inspections, while low SPS suggests long-term relationships where buyers pay an incentive premium to prevent cheating.

Pages

Subscribe to Front page feed