Skill UI

This skill guides authors in transforming empirical research findings into a robust theoretical contribution for Public Administration. It emphasizes articulating clear mechanisms, defining necessary scope conditions, and providing actionable "Evidence for Practice," ensuring the work advances both academic theory and real-world policy.

This tool serves as an orchestrator for developing Public Administration Review (PAR) manuscripts. It guides researchers through the entire writing lifecycle—from initial topic selection and literature positioning to theory building, data analysis, and final submission/rebuttal. It helps users determine the most appropriate article type (e.g., Scholarly Take, Conceptualizing PA) and maps the necessary steps to ensure the work bridges both academic theory and practical public management relevance.

A comprehensive guide and heuristic tool for assessing whether an academic manuscript is suitable for high-level public administration and policy journals, specifically referencing Public Administration and Policy Review. It details required scope, suitable methodologies (e.g., policy evaluation, case studies, mixed methods), structural requirements (anonymity, abstract formatting), and common rejection pitfalls to guide authors toward rigorous academic writing.

A comprehensive framework and checklist for targeting and submitting academic manuscripts to top-tier public finance journals, such as Public Finance Research. It guides authors on optimizing topic framing, ensuring methodological rigor, understanding journal scope, and avoiding common rejection pitfalls.

This comprehensive guide details the rigorous standards required to defend the identification of parameters, estimands, or causal effects in quantitative economic research. It provides specific, advanced methodologies and checklists for three major branches: structural modeling, empirical causal design (e.g., DID, IV, RDD), and experimental studies. It ensures the work meets the high quantitative bar of top-tier journals by demanding explicit data-to-object mapping and robust diagnostic testing.

A comprehensive guide for authors to pinpoint the unique quantitative contribution (the 'delta') of their manuscript. It teaches how to articulate the specific gap closed relative to prior empirical, structural, and methodological work, ensuring the paper is correctly positioned for target journals like QE, distinguishing it from related fields.

This comprehensive guide details the entire editorial review process for quantitative economics publications, covering stages from initial desk screening through to pre-acceptance reproducibility checks. It provides critical insights into expected timelines (4-5 months), desk-reject risks, the Econometrica transfer option, and mandatory data/code preparation requirements. It is designed to set clear professional expectations for authors throughout the academic publishing cycle.

This comprehensive guide serves as a preflight checklist for authors submitting manuscripts to academic journals, specifically targeting the Quantitative Economics (QE) journal. It details critical formatting rules, membership requirements, fee structures, and procedural best practices, ensuring authors perform a thorough self-review before final submission to minimize rejection risks.

This guide helps authors polish the prose, abstract, and introduction of quantitative economics manuscripts for a general-interest Econometric Society readership. It emphasizes structuring the paper to clearly present both a substantive economic question and a quantitative method. It adheres to QE house rules, requiring findings to be communicated through point estimates with standard errors and confidence sets, rather than relying on statistical asterisks.

A comprehensive guide for strengthening causal identification strategies (DID, IV, RDD, RCT) for high-stakes academic publications. It details modern econometric estimators, required diagnostic checks (pre-trends, density tests, weak-IV robustness), and the philosophical shift from technique to answering a big economic question, essential for submitting to top journals like the Quarterly Journal of Economics (QJE).

Mandatory package structure for submitting accepted empirical papers to the Quarterly Journal of Economics (QJE). It ensures complete research reproducibility by organizing raw data, derived files, and analysis code. This package guides authors in creating a comprehensive, self-contained deposit that allows any investigator to regenerate every figure, table, and result published in the manuscript, adhering to strict academic data-availability policies.

A comprehensive methodological guide for structuring the robustness checks and online appendix of high-level empirical economics manuscripts, specifically tailored to the standards of the Quarterly Journal of Economics (QJE). It provides a structured approach to defending the identification assumption, selection, measurement, and inference, ensuring the paper anticipates and addresses potential referee critiques.