Skill UI

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.

A detailed guide for authors handling major revisions (R&R) for quantitative economics papers. It structures the entire process, from decoding the coeditor's priorities and classifying referee demands (fundamental, clarification, disagreement), to executing necessary new analyses and drafting a professional, evidence-based response letter that maintains reproducibility and rigor.

This guide outlines the rigorous requirements for preparing a reproducible package for Quantitative Economics (QE) journal submissions. It details the strict standards set by the Econometric Society Data Editor, covering raw data, code, documentation, and handling complex data exemptions to ensure the submission passes the pre-acceptance reproducibility check (DCAS compliant).

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.

Provides detailed guidelines for constructing high-quality tables and figures for Quantitative Economics (QE) manuscripts. It emphasizes adhering to strict academic standards, such as replacing significance asterisks with standard errors and confidence bands, placing exhibits in-text, and ensuring all visuals are self-contained, professionally formatted, and journal-compliant.

This guide helps researchers determine if their academic project is best suited for Quantitative Economics (QE) among top economic journals. It provides a structured fit test, guiding users to sharpen the substantive economic question and confirm that the quantitative method is necessary—not merely decorative—to answer it. It helps situate research by comparing QE against pure theory and method-first outlets.

This router guides authors through the complex publication lifecycle for Quantitative Economics (QE) submissions. It diagnoses current bottlenecks—whether in topic framing, data analysis, contribution clarity, or writing style—and directs the user to the precise specialized skill needed at that stage, ensuring a structured path from initial concept to final submission or rebuttal.

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.

This skill helps authors assess the suitability of their structural, computational, or econometric manuscript for top-tier quantitative economics journals. It guides authors on meeting the high bar for model rigor, identification transparency, and computational evidence required for publication in this field, acting as a comprehensive fit and re-framing tool.

This guide outlines how to strategically frame a manuscript's contribution for journals like the Review of Economic Dynamics (RED). It emphasizes identifying a single, sharp, dynamic or quantitative advance (e.g., a new mechanism, method, or quantitative result) and presenting it as a 'delta' against the closest existing model. It provides a checklist and stress test to ensure the core finding is immediately grasped by the target readership.

This guide outlines the rigorous standards for quantitative analysis required in academic economic research, particularly dynamic modeling. It provides a framework covering systematic model calibration, moment estimation, numerical solution discipline, and establishing fully reproducible computation workflows, ensuring results are highly auditable and verifiable.