Skill UI

This skill guides authors in assessing whether their economic research is suitable for the Journal of Economic Perspectives (JEP). JEP specializes in publishing accessible, non-technical, and synthetic articles aimed at a broad readership of economists. It helps authors shift their focus from complex empirical estimations to clear exposition, balanced synthesis, and general intellectual framing, providing a comprehensive pre-submission checklist.

This guide helps authors determine if their research, particularly in market microstructure, liquidity, or high-frequency trading, is suitable for the Journal of Financial Markets (JFM). It provides detailed heuristics on topic fit, required evidence, structural guidelines, and common rejection triggers, ensuring submissions are optimally framed for specialist financial economics venues.

A comprehensive guide for authors targeting the Journal of the American Chemical Society (JACS). It details the journal's positioning, scope requirements across various chemical sub-fields (organic, inorganic, physical, etc.), the required depth of evidence, article structure (Communications vs. Articles), and provides a detailed checklist to prevent common desk-reject mistakes. Use this when refining a chemistry manuscript for a top-tier publication.

This guide details the rigorous review process for the Journal of Policy Analysis and Management (JPAM). It helps authors pre-empt potential objections—from desk screening to cross-disciplinary peer review—by detailing expected standards, article types, and the criteria for acceptance or rejection. Use this before submission to stress-test your manuscript and maximize acceptance chances.

An essential orchestrator for authors submitting to the Journal of Policy Analysis and Management (JPAM). This skill guides authors through the entire academic writing lifecycle, routing them based on the article type, stage, and required methodological rigor. It ensures the paper maintains strong policy relevance and credible causal identification, bridging economics, political science, and public management.

A comprehensive guide to strengthening research designs for public administration manuscripts, particularly for rigorous journals that emphasize experimental and causal identification. It covers experimental designs, causal observational methods (DID, IV, RDD), multilevel modeling, and mixed methods, providing frameworks to defend against common methodological biases and rival explanations.

This guide details the rigorous academic evaluation process for manuscripts submitted to the Journal of Public Administration Research and Theory (JPART). It covers the critical steps of double-blind review, the initial desk screening for theory contribution and field fit, and the decision categories (reject, R&R, accept). It provides authors with a roadmap to pre-empt failure modes and significantly improve their submissions before they are sent to expert reviewers.

A comprehensive final check guide for authors submitting to the Journal of Public Administration Research and Theory (JPART). This checklist covers critical elements such as double-blind anonymization, strict word count adherence (including all components), OUP author-date styling, data availability, and required declarations, ensuring the manuscript is ready for Editorial Express.

This guide provides best practices for presenting tables and figures in academic manuscripts, specifically tailored to the requirements of the Journal of Public Administration Research and Theory (JPART). It emphasizes that exhibits must be self-contained, focusing on communicating mechanisms and effect magnitudes rather than just statistical significance. It also guides authors on managing word limits by strategically defining the role of core findings versus supplementary material.

This guide helps authors prepare manuscripts for high-impact journals, specifically detailing the mandatory requirements for data and code transparency (e.g., JPART). It outlines how to build a complete, reproducible package, including master scripts, documentation (README), data availability statements, and managing potential data restrictions, ensuring publication acceptance is not stalled by materials.

A comprehensive guide for ensuring the robustness of empirical findings, particularly for submissions to top-tier economic journals. This method moves beyond simply showing that coefficients remain significant, focusing instead on defending the core economic interpretation by systematically ruling out alternative mechanisms, structural assumptions, and potential sources of bias. It guides the development of a rigorous 'robustness battery.'

This guide provides an advanced framework for conducting rigorous causal inference and policy evaluation, essential for academic journals. It covers state-of-the-art methods including DiD, RDD, Synthetic Control, and experimental analysis. The core focus is moving beyond simple p-values to estimate effect magnitudes in tangible 'decision units' (e.g., dollars per household, percentage points). It mandates comprehensive stress-testing, including pre-trend checks, placebo outcomes, and detailed subgroup heterogeneity analysis, ensuring results are immediately actionable by regulators.