Skill UI

This guide provides stringent methodological standards for establishing credible causal claims in empirical policy manuscripts. It covers advanced econometric techniques—including Difference-in-Differences (DiD), Instrumental Variables (IV), Regression Discontinuity Design (RDD), and Randomized Controlled Trials (RCT)—required to move beyond mere correlation and prove that the observed effect is genuinely caused by the policy intervention.

This guide provides rigorous methodological guidelines for ensuring the identification strategy in high-impact empirical economics papers (AER: Insights). It covers key areas including Difference-in-Differences (DiD), Regression Discontinuity Design (RDD), Instrumental Variables (IV), and structural parameter identification. It emphasizes the need for extreme methodological clarity, transparency, and conciseness required for top-tier academic publication.

A comprehensive guide for strengthening the methodological rigor of academic manuscripts, particularly for high-stakes journals. It covers advanced techniques for causal identification (e.g., Difference-in-Differences, Instrumental Variables, Regression Discontinuity), pre-analysis planning, linking theory to empirical tests, and defending claims against skeptical reviewers. This skill focuses on methodological architecture, not code.

This skill provides a rigorous framework for political scientists to pre-test their research projects against the standards of the American Journal of Political Science (AJPS). It evaluates whether a topic has a sharp, generalizable question, demonstrates strong causal identification, provides a substantive theoretical contribution, and fits the appropriate submission type (Article, Research Note, Correspondence). Use this before committing significant time to writing.

A comprehensive guide for authors targeting the American Economic Review (AER). This skill helps authors assess whether their economics manuscript meets AER's high bar for general interest, methodological rigor, and structural presentation. It covers journal positioning, identification strategy, required modern inference techniques, and how to re-frame niche field papers for a broad disciplinary audience.

This guide assists researchers in strengthening the methodological rigor of academic work, particularly in political science. It provides structured methods for defending research design, covering rigorous causal identification for quantitative work (e.g., DiD, IV, RDD) and systematic case selection/process tracing for qualitative analysis. Use this when facing reviewer skepticism or preparing a pre-analysis plan to ensure the evidence credibly connects to the theoretical argument.

A comprehensive preflight checklist for submitting manuscripts to the American Political Science Review (APSR). This guide emphasizes the critical steps for double-anonymous review, including stripping file metadata, properly anonymizing text to prevent author identification, and adhering to strict formatting rules (APSA Style, word counts, and abstract limits). Use this before uploading to Editorial Manager.

This guide provides comprehensive guidelines for selecting, validating, and defending rigorous research designs for Contemporary Accounting Research (CAR) manuscripts. It covers various approaches—including panel archival, controlled experiments, analytical models, field studies, and surveys—while stressing critical rigor checks like identification strategy, internal validity, and model discipline. It also mandates adherence to ethical review processes and data integrity policies.

A comprehensive guide for authors receiving a revise-and-resubmit decision. It outlines the strategic planning, required new analyses (robustness, identification tests), and structured writing process needed to draft a rigorous, point-by-point rebuttal letter, ensuring data integrity and compliance with journal standards.

A specialized tool designed to assess the suitability of academic manuscripts for top-tier economic journals, such as China Economic Quarterly (CEQ). It utilizes a three-dimensional diagnostic framework (Identification, Communicability, Problem Level) to determine if the research meets international academic standards. If the fit is weak, it provides strategic guidance on re-routing the paper to more appropriate specialized journals (e.g., Financial Research, World Economy).

A comprehensive guide to establishing credible causal identification strategies for economic empirical research. It covers advanced quasi-experimental methods such as Difference-in-Differences (DID), Instrumental Variables (IV), and Regression Discontinuity (RDD), alongside structural modeling. The core principle emphasizes the necessity of explicitly stating, empirically defending, and testing all identification assumptions to meet the rigorous standards of top-tier academic economics journals.

This guide teaches advanced techniques for writing literature reviews in top-tier economics journals. The core principle is moving beyond simply listing past work; instead, you must precisely position your contribution by defining the delta (difference) relative to specific, foundational academic papers. Learn to articulate your unique value by highlighting improved identification strategies, clearer mechanisms, or novel parameters.