Skill UI

A comprehensive guide for researchers conducting advanced data analysis and reporting for top marketing journals. It details selecting the appropriate econometric estimator (e.g., ANOVA, DiD, IV, mediation models) based on the study design (experimental, observational, panel). It emphasizes meeting rigorous journal mandates, including exact p-values, standard errors, and effect sizes, and linking statistical findings to practical managerial claims.

A comprehensive guide for structuring rigorous academic research in management studies. It helps researchers align theoretical claims (causal, exploratory, mechanism testing) with appropriate methods—including qualitative, quantitative, and multi-method designs. The guide covers advanced topics such as addressing common-method bias, endogeneity, and cross-level analysis, ensuring methodological rigor for top-tier publications.

A guide for designing rigorous numerical experiments and simulations for academic manuscripts in management science. This methodology focuses on validating proven theoretical properties, assessing algorithm performance, exploring parameter sensitivity, and extracting actionable managerial insights. It emphasizes that simulations must complement, but never replace, formal mathematical proofs.

This skill guides the execution and reporting norms for advanced data analysis in communication studies, specifically adhering to the rigorous standards of the Journal of Communication (JoC). It emphasizes transparency, reproducibility, honest reporting of uncertainty (beyond p-values), rigorous robustness checks, and proper handling of computational data, ensuring that analyses withstand expert and peer review.

This guide assists researchers in transforming narrowly focused, technically correct findings into broadly significant methodological contributions suitable for high-impact econometrics journals (e.g., JoE). It outlines strategies for framing the work by identifying the general problem class, stating the advance as a property (rather than a procedure), and anchoring the contribution within broader economic settings. Use this when your paper needs to be elevated from an incremental fix to a field-changing principle.

This tool guides researchers in assessing the methodological fit of their empirical findings for top-tier journals like the Journal of Econometrics (JoE). It pressures-tests the proposed work against rigorous academic standards, checking for mathematical novelty, clear economic motivation, and methodological advancement. Use it when unsure of the journal scope or the true contribution type.

A comprehensive guide for conducting reproducible empirical analysis in labor economics, adhering to high academic standards (e.g., JOLE norms). It covers essential steps including sample construction from CPS/ACS/registers, advanced wage decompositions (Oaxaca/RIF), proper handling of standard errors, and robust sensitivity checks to ensure results are fully replicable.

This comprehensive guide outlines the mandatory standards for data and code submission for academic papers published in the Journal of Labor Economics (JOLE). It instructs researchers on how to build a complete, reproducible package, detailing the requirements for documenting the full data chain (raw to final), master scripts, environment pinning, and handling proprietary data for journal review.

A comprehensive methodological guide for conducting rigorous statistical analysis in Operations Management (OM). It covers establishing measurement validity (CFA, reliability), selecting appropriate estimators (SEM, HLM, DiD, IV) for survey and archival data, and addressing critical issues like common-method bias and endogeneity. Essential for academic research reporting.

This skill helps authors evaluate if their empirical work—which applies econometric methods to substantive economic questions—is suitable for top-tier applied econometrics journals. It guides authors on the necessary focus on empirical application, data reproducibility, methodological rigor, and proper framing, helping authors minimize rejection risks and select the best publishing venue.

A comprehensive skill designed for authors targeting the Journal of Clinical Oncology (JCO). It provides an exhaustive checklist covering the journal's high academic standards, required evidence depth (such as Phase III randomized controlled trials), appropriate study scope (solid tumors, biomarkers), mandatory formatting, and the latest submission guidelines. Use this tool to optimize your manuscript and improve its suitability for publication in a top-tier oncology journal.

A comprehensive guide for authors submitting financial econometrics papers. This skill helps determine if a manuscript is suitable for journals like the Journal of Empirical Finance (JEF). It guides authors on framing the core contribution—whether it lies in the empirical method, measurement, or careful evaluation—and details necessary rigor, such as out-of-sample testing, proper inference, and adherence to house style.