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CongressWatch cross-references public records from multiple government databases to generate an Anomaly Score (0–100) for every sitting member of Congress. The score is a statistical indicator — not a legal judgment — that highlights patterns worth public attention. High scores mean the data shows unusual patterns. Low scores mean the data looks ty
End-to-end Python implementation, based on Canofari et al. (2025), of sovereign fiscal reaction function estimation using Dynamic Common Correlated Effects Mean Group (DCCEMG) methods. Designed for analyzing government debt sustainability across 52 countries with advanced panel econometrics.