Skill UI

This comprehensive guide outlines the rigorous standards for creating publication-grade tables and figures for top-tier academic journals, such as The Review of Economic Studies. It emphasizes the principles of elegance, economy, and self-containment. Authors must ensure that every exhibit carries one single, clear result, presents interpretable magnitudes (not just stars), and is generated programmatically from code to guarantee reproducibility and consistency.

This guide provides rigorous best practices for developing and presenting theoretical economic models for top-tier journals. It emphasizes framing results with a clear economic payoff, maintaining minimal model setups, and ensuring that complex, full proofs are relegated to the online appendix. The goal is to ensure the primary economic insight remains highly visible and actionable, rather than being buried in algebraic machinery.

This guide is designed for advanced academic research, helping scholars evaluate whether their current research idea meets the rigorous standards of top-tier economics journals (e.g., REStud). It teaches how to distill complex findings into a single, original, and technically excellent contribution, diagnosing potential weaknesses in novelty, scope, and general interest.

This workflow acts as a comprehensive router for academic researchers, guiding the entire manuscript lifecycle from initial topic selection and literature positioning through empirical identification, theoretical modeling, writing refinement, and final submission/rebuttal. It ensures the work adheres to the rigorous standards of top journals like The Review of Economic Studies (REStud).

This skill polishes the prose and structure of advanced academic manuscripts for top-tier journals. It focuses on enhancing clarity, conciseness, and logical flow, especially optimizing the introduction and abstract to ensure the core research contribution is immediately evident and highly readable, without altering the original results or economic models.

A comprehensive guide for executing rigorous empirical accounting studies. This resource details best practices for advanced econometric techniques, including correct standard error clustering (firm-level, two-way clustering), executing identification strategies (DiD, RD, IV/2SLS), validating accounting constructs, and performing extensive robustness checks (falsification, placebo tests). It also emphasizes data provenance and reproducibility, critical for top-tier academic publications.

This guide teaches authors how to frame their academic research by joining a specific, established 'accounting conversation' rather than claiming to fill an unstudied 'gap.' It provides a structured approach to identifying key frontier works, articulating the paper's precise marginal contribution (the 'marginal move'), and strategically justifying why the paper belongs in a specific journal, such as RAST, over its academic siblings.

A comprehensive guide for tackling a 'revise-and-resubmit' academic review (R&R). This process details how to substantively resolve critical, first-order concerns—such as identification threats, construct measurement, or model assumptions—before drafting the letter. It emphasizes rigorous analysis, structured point-by-point responses, maintaining manuscript consistency, and preserving anonymity for resubmission.

This guide helps authors set accurate expectations for academic paper submissions, particularly within fast-paced, first-round decision venues like RAST. It details the double-blind review process, how to interpret terse decisions, and guides strategic decisions regarding paper readiness, conference vs. regular track selection, and comparing different sibling journals.

This comprehensive preflight checklist guides authors through the final steps before submitting academic manuscripts, especially for double-blind review processes. It covers critical requirements such as thorough anonymization (removing names, metadata, and self-citations), verifying file completeness (abstract, proofs, title page), managing submission fees, and confirming format compliance to ensure a smooth submission experience via Editorial Manager.

This guide outlines best practices for developing self-contained, rigorous tables and figures for empirical academic research, particularly in accounting. It covers the complete exhibit set—including variable definitions, descriptive statistics, main results, and advanced diagnostic plots (e.g., DiD event-time plots)—ensuring the work withstands intense academic scrutiny.

This router guides the entire workflow for developing a high-quality academic manuscript targeting the Review of Accounting Studies (RAST). It helps users determine the next necessary step—be it theory development, data analysis, refining contributions, or preparing for submission and rebuttal—ensuring methodological rigor and structural completeness throughout the writing process.