Skill UI

This advanced analytical skill focuses on rigorously identifying and testing the specific transmission channels through which external shocks affect an economy. Essential for high-impact international economics research, it moves beyond descriptive mechanism narratives by focusing on testable proxies across trade, investment, finance, and expectation channels. It requires advanced econometrics (e.g., mediation analysis, sample splitting) and careful identification strategy to ensure causal claims are robust.

This skill guides the creation of rigorous, self-contained tables and figures (exhibits) for academic journals like Public Opinion Quarterly (POQ). It ensures that all visual data accurately report design-based uncertainty, weighting adjustments, and the base N, meeting the high standards required for empirical survey research.

A comprehensive guide for structuring rigorous empirical financial research papers, particularly for top-tier journals like RFS. It details critical design choices for sample construction, variable measurement (proxy validity), estimator selection (GMM, Fama–MacBeth, DID), and standard error adjustments, ensuring methodological rigor and reproducibility against academic scrutiny.

This comprehensive guide outlines the robust battery of checks required for high-impact empirical finance papers. It covers alternative specifications, subsample analysis, outlier sensitivity, and crucial multiple-testing adjustments. Use this framework to structure your methodology, ensuring your central claims are statistically rigorous, reproducible, and capable of withstanding intense academic peer review and scrutiny.

This skill maps chronic conditions extracted from clinical notes to CMS-HCC V28 categories. It estimates the Risk Adjustment Factor (RAF) score, which is crucial for Medicare Advantage payments. It serves as decision support for coders by identifying candidate HCCs, applying complex coding hierarchies, and checking for MEAT documentation evidence for human validation.

This skill provides institutional-depth equity analysis by combining public SEC EDGAR filings and real-time market data. It can generate structured, verdict-style memos, score stocks across four key pillars (Momentum, Stability, Financial Health, Upside), and perform side-by-side comparisons of two tickers, enabling data-driven investment decision support without requiring proprietary terminal access.