Skill UI

A comprehensive guide for authors submitting manuscripts to top-tier journals like the Journal of Marketing. It details the crucial steps for planning, executing, and drafting a point-by-point rebuttal letter following a major revision request (R&R). The guide emphasizes prioritizing the Coeditor's concerns regarding substantive novelty, managerial relevance, and identification strength, ensuring the response is structured, anonymous, and highly persuasive.

A comprehensive guide for establishing rigorous identification strategies in monetary, banking, and macro-financial modeling. It details the standards required for publishing causal claims in top-tier journals (like JMCB), covering three branches: macro shock identification (SVAR), structural parameter identification, and micro-banking causal designs (e.g., staggered regulations). Learn how to defend against information effects, address endogeneity, and ensure policy relevance.

This tool guides researchers through the entire process of preparing a manuscript for submission to the Journal of Money, Credit and Banking (JMCB). It acts as a structured router, diagnosing bottlenecks and recommending the next specialized skill (e.g., identification, empirical design, rebuttal) needed at each stage, from topic selection to final revision.

This guide details the rigorous identification methods required for submitting macro-financial papers to top-tier journals like the Journal of Monetary Economics (JME). It covers techniques such as separating pure monetary shocks from information effects, implementing various Structural VARs (SVARs), using local projections, and conducting model-based identification, ensuring your claims meet the highest academic standards.

This skill helps researchers evaluate whether their macro-financial research question meets the scope and standards of the Journal of Monetary Economics (JME). It guides the identification of clear monetary, macro, or policy payoffs, ensuring the work addresses aggregate outcomes rather than narrow micro-effects, thereby significantly improving submission quality and target journal alignment.

This guide provides a rigorous methodological checklist for conducting data analysis suitable for top-tier academic journals, such as JMIS. It covers advanced techniques across econometrics (addressing identification and endogeneity), behavioral modeling (SEM/PLS, common-method bias), and ML/analytics, ensuring that research findings meet the highest standards of robustness and theoretical grounding.

A comprehensive guide for developing and defending research methodologies for top-tier academic journals, such as the Journal of Management Information Systems (JMIS). It details how to properly design studies—whether they involve econometrics, behavioral experiments, or design-science artifacts—to establish credible causal identification and meet scholarly rigor, while adhering to strict manuscript length limits.

This comprehensive guide provides a detailed strategy for authors drafting a formal, point-by-point rebuttal letter following major or minor journal revisions. It teaches how to address deep-seated concerns—such as contribution, identification, and robustness—by ensuring the response is highly evidence-based, structured for quick adjudication, and meets the stringent standards of top-tier academic publishing.

A comprehensive guide for authors navigating the JMIS editorial process. It explains the EIC-led, double-anonymized review structure, detailing how to interpret critical feedback related to identification, construct validity, and scope. This resource helps set realistic expectations regarding submission posture, revision strategies, and expected timelines, helping authors differentiate fatal framing issues from fixable evidence gaps.

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.

A comprehensive guide for authors managing a Revise-and-Resubmit (R&R) from the Journal of Marketing Research (JMR). It outlines how to systematically address dual concerns—research rigor (statistics, identification, replication) and theoretical substance (contribution)—while crafting a point-by-point response letter. It emphasizes using the Web Appendix to manage new analyses without exceeding the page limit.

A comprehensive guide for building robust, testable theoretical frameworks for submissions to the Journal of Marketing Research (JMR). It distinguishes between deriving behavioral mechanisms (mediators, processes) and specifying structural/econometric primitives and identification arguments, ensuring the research contribution meets academic rigor.