Skill UI

This guide outlines the rigorous formal requirements for econometric papers, focusing on achieving the level of mathematical rigor expected by top academic journals. It covers proving identification, verifying primitive assumptions, constructing asymptotic derivations (consistency, rate, distribution), and structuring proofs for maximum verifiability in causal inference and time series analysis.

This skill guides authors on positioning and framing manuscripts for the Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING). It provides detailed advice on core fit, required evidence (e.g., documentation, licensing, annotation reliability), and rhetorical structure needed to ensure a paper resonates with the specialized audience of language resources and computational linguistics.

This guide provides comprehensive standards for establishing credible causal claims in labor economics research, specifically tailored to the rigor of journals like JOLE. It covers advanced econometric techniques (DID, RDD, IV, RCT, etc.) and outlines necessary robustness checks, bias corrections, and methodological defenses to ensure research findings are statistically sound and replicable.

This guide provides a rigorous structural and strategic framework for responding to a 'Revise and Resubmit' (R&R) decision, specifically tailored for the Journal of Labor Economics (JOLE). It emphasizes drafting concise, point-by-point rebuttals, addressing complex identification challenges with robust diagnostics, reconciling conflicting referee demands, and strictly adhering to the journal's word economy and single-blind submission rules. It is a critical tool for refining advanced academic manuscripts.

This skill serves as a comprehensive fit and venue-selection tool for submitting accounting manuscripts to the Journal of Accounting Research (JAR). It guides authors through evaluating the paper's empirical rigor, identification strategy, economic framing, and adherence to JAR's high academic standards. Use it when targeting JAR or determining if the research belongs in a top-tier academic accounting venue.

A specialized tool for applied microeconomists to assess the suitability of their empirical work—covering labor, education, health, and welfare—for the Journal of Human Resources (JHR). It evaluates the paper's fit, methodological rigor, identification strategy, and policy relevance, providing actionable advice on framing and alternative submissions.

This tool assists authors in positioning their academic manuscripts for the Journal of Macro-quality Research. It provides deep insights into the journal's scope, methodological preferences (macro econometrics, CGE, quality measurement), structural requirements, and common rejection pitfalls. It helps users tailor their writing and submission strategy to maximize acceptance chances.

A comprehensive pre-mortem guide designed for authors submitting to highly selective academic journals, such as JPE. It teaches how to anticipate and proactively address critical methodological objections—including General Equilibrium failures, endogeneity concerns, and lack of clear economic mechanisms—thereby significantly hardening the manuscript before formal review.

This guide provides a structured strategy for authors responding to major academic revisions (R&R) or acceptance-with-revision decisions from scholarly journals. It teaches how to write a detailed, point-by-point rebuttal letter, prioritizing the addressing of central limitations identified by editors and reviewers, and maintaining academic transparency throughout the revision process. This skill focuses on strategic communication, not content creation.

A comprehensive guide to advanced econometric identification strategies required for high-stakes public finance research. Covers techniques like Regression Discontinuity Design (RDD), Difference-in-Differences (DiD), Bunching, and Instrumental Variables (IV). It stresses the need to defend policy-induced discontinuities and manage threats of endogeneity, improving the credibility of empirical claims.

A comprehensive guide for crafting scientific response letters after receiving peer review feedback from specialized journals. It outlines how to triage technical objections, structure point-by-point rebuttals, reconcile conflicting referee demands, and maintain a professional, calibrated tone, ensuring the manuscript addresses all major concerns effectively.

This guide helps authors prepare manuscripts for submission to specialized academic journals by simulating the critiques from various expert subcultures (e.g., decision theorists, experimentalists). It teaches users how to anticipate potential objections, strengthen core arguments, and structure their findings to maximize the likelihood of acceptance.