Skill UI

This guide assists researchers in aligning their study design—whether behavioral (lab/field experiments) or modeling-econometric (IV/DiD/RDD)—with the rigorous standards required by the Journal of Marketing Research (JMR). It covers best practices for causal identification, power analysis, structural estimation, and meeting journal-level expectations like replication and Web Appendix planning.

This skill provides a rigorous framework for designing academic studies, particularly for high-impact psychological journals. It guides researchers to proactively address common methodological pitfalls such as common-method variance (CMV), unmodeled nesting, and construct validity gaps. Topics covered include temporal separation, multi-level modeling, advanced causal inference techniques (DiD, IV), and pre-registration best practices, strengthening the plan before data collection.

This guide provides comprehensive standards for establishing credible causal claims in labor economics research, specifically tailored to the rigor of journals like JOLE. It covers advanced econometric techniques (DID, RDD, IV, RCT, etc.) and outlines necessary robustness checks, bias corrections, and methodological defenses to ensure research findings are statistically sound and replicable.

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.

A comprehensive guide for defending the methodological rigor of academic manuscripts, particularly for top-tier journals. It covers advanced causal identification techniques (DID, IV, RDD) for quantitative work, robust experimental design, and detailed strategies for process tracing and case selection in qualitative research. The core focus is ensuring the design is highly reproducible and clearly addresses potential confounding variables and rival explanations.

This comprehensive skill helps researchers determine if their academic paper, focusing on banking, liquidity, or financial intermediation, is suitable for the Journal of Financial Intermediation (JFI). It guides authors on necessary theoretical contributions, rigorous empirical identification methods (e.g., DiD/IV/RDD), required paper structure, and adherence to the journal's highly specific submission standards and potential rejection triggers.

This guide provides comprehensive standards for submitting papers to top-tier Chinese finance journals, such as Journal of Financial Research. It distinguishes between macro-finance (monetary policy, banking) and micro-finance (corporate governance, capital markets), emphasizing the need for rigorous econometric methods (DID, IV, VAR) and concrete policy relevance for financial systems.

A comprehensive tool designed for authors to assess whether their health-economics manuscript meets the stringent standards of top journals like the Journal of Health Economics (JHE). It guides authors on framing the contribution, ensuring robust causal identification (e.g., IV, DiD, RDD), combining policy relevance with state-of-the-art econometrics, and navigating house style and potential desk-reject risks.

A comprehensive pre-submission guide designed for authors targeting the Journal of Law and Economics (JLE). It helps determine if a manuscript—combining legal/regulatory questions with empirical or applied economic analysis—meets JLE's high standards for method, evidence, and structure. It covers identification strategies (e.g., DiD, IV), data quality, and common reasons for desk rejection.

A comprehensive guide for authors targeting JMCB, focusing on monetary economics, banking, and macro-finance. This skill helps assess if a manuscript meets the journal's standards regarding policy relevance, empirical rigor (e.g., identification strategies like SVAR/DiD), and structural framing. It guides authors on positioning their findings against current academic frontiers.

This skill is a comprehensive guide for authors submitting manuscripts to top public economics journals, such as the Journal of Public Economics (JPubE). It evaluates the manuscript's fit, framing, methodological rigor, and policy relevance. It goes beyond simple estimates, focusing on establishing a public-finance mechanism, ensuring credible identification (e.g., DiD, RDD), and connecting findings explicitly to welfare or optimal policy outcomes. Use this when targeting highly specialized public-finance venues and needing to refine the narrative structure and empirical arguments.

A comprehensive skill designed for academics submitting papers in urban, regional, or spatial economics. It guides authors through evaluating their manuscript's suitability for the Journal of Urban Economics (JUE). The tool emphasizes the necessity of a credible spatial mechanism, robust identification methods (e.g., DiD, RDD), and adherence to high-level empirical and structural modeling standards required by top-tier journals.