Skill UI

This guide outlines the rigorous process for estimating, validating, and interpreting structural models in Marketing Science manuscripts. It covers advanced econometric techniques (GMM, MLE, Bayesian), demonstrating empirical identification, assessing model fit (in-sample/out-of-sample), and computing robust counterfactuals. It ensures the final results are statistically sound, economically plausible, and prepared for replication.

This comprehensive guide assists authors in developing rigorous methodology sections for academic papers in Marketing Science. It covers advanced techniques such as structural econometrics, causal ML, dynamic games, and quasi-experiments. Key focus areas include ensuring model identifiability, specifying estimators (GMM, MLE), and rigorously defending exogeneity assumptions.

This guide details the structure and strategic approach for writing a comprehensive response letter and rebuttal after a journal's revise-and-resubmit (R&R) cycle. It instructs authors on how to structure point-by-point answers, strengthen identification arguments, address challenging counterfactuals, and reconcile conflicting reviewer demands, ensuring the submission is rigorous and professional.

A comprehensive guide for structuring and generating core exhibits—including estimates, model-fit, comparative statics, and counterfactuals—for academic manuscripts in Marketing Science. Designed to adhere to rigorous academic house styles (e.g., INFORMS), ensuring model mechanisms and policy implications are clearly and rigorously presented to quantitative reviewers.

A guide for transforming abstract marketing phenomena into rigorous, mathematically testable models. It covers both analytical (game-theoretic) and structural econometric approaches, emphasizing the specification of primitives, deriving equilibria, and establishing clear identification arguments for academic research.

This guide serves as a comprehensive workflow router for authors preparing a Marketing Science manuscript. It dictates the sequential steps, from identifying a modeling-worthy topic and developing a structural or analytical model, through data analysis, contribution framing, and final submission. It ensures the paper maintains a focus on formal modeling and managerial counterfactuals, adhering to the journal's rigorous standards.

A comprehensive guide for authors packaging their accepted MLSys research artifacts. It details strategies for achieving Availability, Functional, and Reproducible badges by correctly structuring the submission, handling hardware dependencies, and writing the detailed Artifact Appendix. Essential for ensuring scientific claims are independently verifiable.

A comprehensive pre-deadline audit checklist for submitting papers to the MLSys conference. It guides authors through track-specific requirements (Research vs. Industrial), formatting compliance (10-page limit, two-column layout), maintaining double-blind anonymity, and correctly handling appendices and citations to ensure readiness before the submission deadline.

This skill provides comprehensive guidance for authors targeting *Modern Economic Research*, a top-tier journal focused on comprehensive economic theory. It outlines the journal's academic scope, including industrial policy, digital economy, and regional reform. The guide emphasizes the need for manuscripts to possess strong institutional logic, verifiable evidence, and theoretical contribution, ensuring the work transcends mere policy reports.

A comprehensive guide and framework for authors targeting the journal 'Modern Financial Research'. It helps assess whether a manuscript's scope, methodology (e.g., VAR, DID), and policy relevance align with the journal's focus on banking, finance, and macro-policy. It details submission requirements, common pitfalls, and suggestions for revision or alternative journals.

This comprehensive guide outlines the standardized procedures and required repositories for ensuring data and code availability in scientific publications, particularly in molecular biology. It details where to deposit various data types (e.g., sequencing, structures, proteomics) in approved archives (GEO, PDB, PRIDE, Zenodo), provides the mandatory standardized statement format, and emphasizes the need to obtain accessions/DOIs before submission to ensure reproducibility.

A comprehensive guide detailing best practices for creating scientifically rigorous and publication-ready figures, particularly for molecular biology and structural studies. It covers statistical representation (n, error bars, point plots), structural integrity (uncropped blots, resolution reporting), colorblind accessibility, and multi-panel data presentation to ensure the figure genuinely proves the mechanism, rather than just summarizing it.