Skill UI

This guide provides a structured framework for authors responding to reviewers' feedback for top-tier academic journals, especially in finance or economics. It emphasizes addressing methodological concerns (identification, causality, mechanisms) point-by-point, ensuring every response is backed by new evidence, and precisely locating changes in the revised manuscript.

This comprehensive checklist guides authors through the rigorous pre-submission process for the Journal of Financial Research. It covers critical academic elements such as adhering to specific word count limits (~20k), abstract formatting, JEL codes, and proper citation conventions. It also emphasizes maintaining double-blind anonymity and verifying structural consistency, ensuring the manuscript meets the journal's demanding standards before online submission.

A comprehensive guide on transforming preliminary research findings into publication-quality manuscripts for top-tier finance journals. It covers best practices for slimming over-wide regression tables, generating standardized figures (IRF, Event Study), ensuring continuous numbering, and adhering to strict academic formatting standards.

This comprehensive guide helps academics transform raw financial data observations into rigorous and high-impact research questions suitable for top-tier finance journals. It teaches a structured methodology involving anchoring the core financial mechanism, integrating specific institutional contexts within China, and defining a clear incremental academic contribution.

This router provides a systematic workflow guide for submitting academic manuscripts to top-tier finance journals, such as the Journal of Financial Research. It does not replace specialized skills but dictates the necessary sequence of steps—from initial positioning and topic selection to advanced identification, mechanism analysis, and rebuttal response—ensuring the required academic rigor and structure.

A comprehensive guide for rigorous causal inference in health policy research. It details advanced econometric methodologies—including Difference-in-Differences (DiD), Regression Discontinuity Design (RDD), and Instrumental Variables (IV)—and addresses critical issues like selection bias and institutional realism. This resource helps ensure that empirical claims meet the highest standards required by top-tier health economics journals.

A comprehensive guide for structuring and drafting response letters when facing major revisions or rejection (R&R) from top-tier academic journals, such as JHE. Teaches how to triage reviewer comments, address design credibility concerns, reconcile conflicting opinions, and present new evidence (estimates and bounds) in a professional, non-defensive manner.

A comprehensive guide for authors submitting to health economics journals, focusing on pre-submission pre-mortem analysis. It teaches how to anticipate specific, expert-level critiques—such as selection bias, concurrent confounding, or econometric limitations—and proactively structure the manuscript to neutralize these objections before they are raised by reviewers.

A comprehensive guide for assembling reproducible research packages using restricted health data, such as Medicare claims or EHR data. This package focuses not on running the analysis, but on establishing a credible data access path, creating detailed Data Availability Statements (DAS), and ensuring code is shared and reproducible, which is crucial for publishing in health economics journals.

Provides a comprehensive framework for conducting and reporting robustness checks in health economics studies. It guides authors to organize findings by addressing specific threats to the core claim (e.g., selection bias, concurrent policy changes, measurement error) rather than simply appending multiple specifications. Essential for ensuring results are stable and defensible for top-tier journal submissions.

A comprehensive preflight guide for submitting manuscripts to the Journal of Health Economics (JHE) via Elsevier Editorial Manager. This checklist ensures compliance with specific journal requirements, covering single-anonymization, data availability statements, keyword formatting, and required declarations (e.g., funding, AI usage). Use it as the final check before pressing submit.

A comprehensive guide detailing best practices for constructing rigorous and legible tables and figures for health economics manuscripts, particularly for the Journal of Health Economics (JHE). It covers presentation requirements for main policy estimates, identification figures (e.g., event studies, RD plots), and descriptive institutional exhibits, ensuring that the health setting and causal effects are immediately apparent to expert readers.