Skill UI

A comprehensive guide for academic researchers responding to R&R or conditional acceptance decisions for the American Economic Journal: Applied Economics (AEJ: Applied). This skill structures the response-to-referees letter and revision plan, emphasizing the triage of reviewer comments, adherence to editor priorities (especially concerning identification and robustness), and maintaining a professional, evidence-based tone. It helps authors transform critical feedback into a concrete, actionable revision strategy.

This guide provides a comprehensive, advanced strategy for academic researchers writing microeconometric papers for top-tier journals (e.g., AEJ: Applied). It teaches authors how to anticipate sophisticated, technical objections from expert referees (such as issues with causal inference design, selection bias, or parallel trends). The focus is on pre-empting these objections by integrating solutions directly into the manuscript text, rather than waiting for a formal revision letter.

A comprehensive strategy guide for authors submitting policy-evaluation papers to top economics journals. It details how expert referees evaluate manuscripts, focusing on four critical areas: policy interest, causal credibility, welfare reading, and robustness. This tool helps authors proactively anticipate and strengthen potential weaknesses before submission or during revision, significantly increasing the paper's chances of acceptance.

A comprehensive guide for authors submitting to high-level academic journals, specifically detailing how to construct a point-by-point rebuttal letter after receiving R&R (Revision & Resubmission) feedback. Covers advanced econometric topics, identifying common reviewer critiques (e.g., parallel trends, robustness checks, endogeneity), and structuring professional, evidence-based revisions.

This guide provides a rigorous strategy for authors responding to major or minor revisions in cognitive psychology journals. It teaches how to systematically address every reviewer comment, strengthen model-driven inferences through techniques like model comparison and recovery analysis, and maintain the coherence and reproducibility of the theoretical argument. Essential reading for scholarly publication.

A comprehensive guide for authors responding to major journal revisions (R&R), particularly in demography. It outlines strategies for addressing expert reviewer critiques, reconciling conflicting methodological assumptions (like rates or identification), and defending the core demographic substance using rigorous evidence. This skill ensures the response is structured, respectful, and scientifically robust.

This guide details the rigorous review standards and criteria for developmental psychology manuscripts, covering masked peer review, developmental significance, methodological rigor (age/cohort effects, invariance, attrition), JARS reporting, and TOP transparency. Use this resource to stress-test your paper before submission, understand expected revisions, or interpret complex decision letters.

A comprehensive skill guide designed to help researchers assess the suitability of their economics manuscripts for submission to 《Economic Review》. It covers journal positioning, required empirical rigor, structural expectations (abstract, citation style), common rejection pitfalls, and advice on necessary revisions and alternative journals. This tool is crucial for navigating academic publishing standards in Chinese economics.

Provides a comprehensive, structured strategy for authors responding to referee reports and revising highly technical econometric manuscripts for submission to top-tier journals like The Econometrics Journal (EctJ). It guides authors on differentiating between validity-critical, applied-value-critical, and compression-risk issues, ensuring the response is rigorous, concise, and systematically addresses all methodological and empirical gaps.

A comprehensive project management guide for submitting database systems papers to EDBT. It details the complexities of the multiple-cycle rolling publication model, covering everything from initial evidence lock and cycle selection to the five-step review arc (Submission, Author Feedback, Revision, etc.). Use this to backward-plan your research timeline and manage the entire academic publishing process.

A comprehensive guide for structuring academic empirical research projects to ensure the full reproducibility of findings. This methodology covers standard folder layouts, master scripting, data provenance documentation, and best practices required for passing rigorous peer review scrutiny, thereby preventing data loss and calculation errors during revisions.

A comprehensive guide modeling the specific, single-round, double-anonymous review pipeline for IEEE ICSME submissions. It details the crucial early-decision cut (Accept, Reject, Response Recommended) and emphasizes that unlike journal submissions, there are no Major Revision rounds. Use this to strategically plan your research submission and response artifact.