Skill UI

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.

A detailed guide for structuring the introduction and related work sections of manuscripts submitted to Review of Economic Dynamics (RED). It teaches authors how to accurately map their contribution within established quantitative modeling traditions (e.g., DSGE, HANK), explicitly identifying the quantitative gap and the marginal theoretical advance for a specialized readership.

A comprehensive guide for structuring point-by-point responses to reviewers after a major academic review (RED). It emphasizes prioritizing model critiques, quantitative evidence, calibration discipline, and maintaining code/data archive updates. This skill ensures your rebuttal is structured, rigorous, and directly addresses the core concerns of quantitative reviewers.

This guide outlines best practices for creating quantitative exhibits in dynamic macroeconomics papers. It covers crucial components like Impulse-Response Functions (IRFs), calibration tables, moment-matching results, and policy counterfactuals. The focus is on ensuring the model's mechanism and quantitative fit are clear, legible, and self-contained for expert review.

This guide helps researchers test whether their economic research question aligns with the specialized scope of top-tier journals, particularly those focusing on dynamic and quantitative mechanisms (like RED). It provides a structured methodology, including fit tests and scoring dimensions (Dynamics, Model, Discipline, Audience), to ensure the core contribution is genuinely dynamic and methodologically rigorous.

Guides authors through the rigorous, end-to-end lifecycle of submitting a paper to the Review of Economic Dynamics (RED). It acts as an orchestration checklist, covering critical stages from initial scope definition and quantitative modeling to data archiving, manuscript formatting, fee payment, and handling revisions. It ensures authors maintain methodological rigor and code-first discipline throughout the entire academic publishing process.

Comprehensive stylistic guidelines for submitting quantitative dynamic economic papers to the Review of Economic Dynamics (RED). This guide covers critical conventions, including structuring the abstract to lead with quantitative results, mastering Harvard referencing, adhering to LaTeX formatting, and emphasizing dynamic mechanisms for top-tier academic submission.