Economics Evidence Appraisal & Standards
Appraises empirical research credibility, audits methodological balance, and synthesizes competing literature for Annual Review of Economics articles.
Evaluates the methodological rigor and credibility of primary empirical studies synthesized in economics review articles, adhering strictly to Annual Review of Economics standards. This skill guides researchers through auditing identification strategies (including staggered DiD, IV, RDD, and randomized experiments), reconciling conflicting estimates by underlying estimands rather than crude vote-counting, establishing a rigorous 4-tier corpus hierarchy, and mitigating self-citation bias to deliver balanced, publication-ready academic syntheses.
主な機能
01Audits self-citation bias and steelmans rival schools of thought to ensure balanced editorial treatment
02Evaluates causal identification credibility across DiD, IV, RDD, RCT, and structural estimation designs
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04Establishes a 4-tier corpus taxonomy to balance comprehensive coverage with selective prose
05Reconciles conflicting literature findings by estimand and methodological rigor rather than vote-counting
06Coordinates with MCP toolchains for meta-analytic recalculations and staggered DiD diagnostic checks
ユースケース
01Auditing the methodological robustness of legacy econometric studies against modern identification standards
02Synthesizing conflicting empirical findings and identifying consensus in Annual Review of Economics submissions
03Balancing academic literature reviews by steelmanning rival intellectual camps and curbing self-citation bias