Skill UI

A comprehensive guide detailing the specific review standards and submission requirements for the Journal of Labor Economics (JOLE). This resource covers the single-blind review protocol, the non-refundable submission fee structure, and the expectations of labor-focused referees, emphasizing credible identification, disciplined data work, and replicability.

This comprehensive resource guides authors targeting the Journal of Economic Growth. It covers the journal's positioning, required scope in long-run growth theory, cross-country empirics, institutional determinants, and rigorous methodological standards. Use it to re-frame your manuscript for maximum fit and avoid common desk-reject pitfalls before official submission.

This skill guides authors writing environmental or resource economics papers to determine if their manuscript is a suitable fit for the Journal of Environmental Economics and Management (JEEM). It provides deep insights into JEEM's required scope, expected methodologies (e.g., credible identification, valuation best practices), structural requirements, and common pitfalls, helping authors re-frame their research for maximum impact in the field.

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.

A comprehensive guide for authors on creating APA 7th edition compliant tables and figures for scientific manuscripts, specifically tailored for the Journal of Personality and Social Psychology (JPSP). This resource emphasizes best practices for presenting multi-study data, including self-contained exhibits, cross-study summary tables, and internal meta-analysis forest plots, ensuring the findings are clear and impactful.

This guide provides comprehensive best practices for packaging and documenting NLP research artifacts (datasets, models, prompts, etc.) for academic submission (e.g., NAACL/ARR). It emphasizes rigorous provenance tracing, ensuring reproducibility, and ethically handling sensitive data, particularly community-owned or indigenous language resources.

A comprehensive academic guide for validating survey instruments. This resource details required standards for reliability (Cronbach's α, Composite Reliability), validity (AVE, Fornell-Larcker, HTMT), and diagnosing common method bias (CMV) in self-report studies. It outlines best practices for cross-cultural adaptation, pre-testing, and advanced statistical reporting necessary for high-impact academic publications.

This skill automates the complex process of transforming raw research papers (PDF or URL) into structured, knowledge graph-ready resources for OpenViking. It executes a rigorous workflow: reading the entire paper, compiling an ARA-style artifact directory, validating the content against established schemas, and finally ingesting the structured data into the OpenViking knowledge base using the `ov add-resource` command. It ensures all evidence, claims, and logical relationships are captured systematically.

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.

A comprehensive guide for authors addressing the rigorous identification requirements for industrial-organization (IO) manuscripts, particularly targeting top-tier journals like the RJE. It details structural and reduced-form modeling approaches for areas including demand, supply, entry, mergers, and auctions. The resource emphasizes defending endogeneity, selecting appropriate market-based instruments, utilizing modern econometric estimators (e.g., Callaway–Sant'Anna), and establishing clear causal links between variation and structural parameters.

Comprehensive guidelines for auditing and reproducing high-stakes empirical financial research. This resource details the rigorous standards required for top-tier finance journals, covering sample construction, identifying variables, advanced econometric modeling (e.g., panel data, factor pricing), handling international cross-market data, and establishing a fully reproducible data pipeline. Essential for ensuring the robustness and credibility of finance findings.

A comprehensive checklist and guide for authors submitting research papers to PVLDB (Proceedings of the VLDB Endowment). This resource details critical steps, including adherence to multiple deadlines (abstract, full paper), category budget selection, single-blind formatting rules, and author co-contribution caps, ensuring submissions avoid desk rejection.