Skill UI

This skill acts as a comprehensive workflow router for writing Advanced Materials (Adv. Mater.) manuscripts. It guides authors through the entire publishing lifecycle—from initial scope assessment to final submission and revision. It helps diagnose bottlenecks related to scientific advance, characterization strength, figure quality, and adherence to journal format, ensuring the manuscript is robust and ready for publication.

This guide provides rigorous standards for polishing scientific prose for high-impact materials journals. It focuses on improving narrative flow by emphasizing the structure-property-function argument, enforcing concision, standardizing materials nomenclature and units (SI), and eliminating hype-word inflation. Ideal for authors needing to transition a raw scientific draft into a polished, publishable manuscript.

This guide helps researchers determine if their applied microeconomics work meets the rigorous standards of the American Economic Journal: Applied Economics (AEJ: Applied). It serves as a pre-submission checklist, detailing the required depth of causal identification (e.g., RCTs, DiD, IV), methodological robustness, expected manuscript structure, and avoiding common desk-reject pitfalls. Essential for high-quality academic writing.

This skill guides authors through the rigorous requirements of American Economic Journal: Economic Policy. It helps evaluate whether an applied economics manuscript meets the journal's high bar, focusing specifically on the joint criteria of sound causal identification (DiD, IV, RDD) and clear, impactful policy relevance. Use it to re-frame arguments and check against best practices for policy evaluation.

This skill serves as a comprehensive guide for authors targeting top-tier macroeconomics journals, such as the American Economic Journal: Macroeconomics. It analyzes a manuscript's fit, required methodology (e.g., DSGE, HANK, empirical identification), structural requirements, and common pitfalls (desk-reject heuristics). It is essential for researchers needing to refine their academic research and framing to meet rigorous journal standards.

This skill is a comprehensive guide for authors preparing microeconomic theory, game theory, or theoretical IO manuscripts for submission to the American Economic Journal: Microeconomics. It analyzes journal fit, required theoretical rigor, methodological standards, house style, and potential pitfalls (desk-reject heuristics), helping authors refine their work before formal submission.

This guide provides a rigorous framework for defending causal identification claims in empirical microeconomics, tailored for top-tier journals like AEJ: Applied. It covers modern techniques and anti-patterns for RCTs, Difference-in-Differences (DiD), Regression Discontinuity (RDD), and Instrumental Variables (IV), ensuring the mapping from variation to the causal estimand is explicit, defensible, and falsifiable.

A comprehensive guide for academic researchers, detailing how to precisely define and position the marginal contribution of an economic manuscript (especially for top journals like AEJ: Applied). It teaches techniques like the 'three-paper test' and defining an 'honest delta,' ensuring the contribution is framed by identification and mechanism, rather than just topic or setting.

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.

This guide outlines the mandatory steps and components required to assemble a robust, reproducible data and code replication package for submissions to the American Economic Journal: Applied Economics (AEJ: Applied). It ensures compliance with the stringent AEA Data and Code Availability Policy, covering data provenance, master scripts, and version control. This package must be built iteratively, not at the acceptance stage.

This guide details how to construct a sophisticated and rigorous robustness suite for top-tier academic econometrics journals (e.g., AEJ: Applied). It moves beyond simple regression tables, providing targeted checks against common methodological threats such as omitted variables, specification search, functional form choices, and incorrect statistical inference. The goal is to systematically demonstrate that the main point estimate is stable, reliable, and not an artifact of the research design.