Twelve-skill bundle covering the Journal of Business & Economic Statistics (JBES) manuscript lifecycle, from method-fit topic selection through submission and rebuttal.
1,413 on GitHubby Bryce Wangv1.1.0MITupdated 1 month agoacademic
Use when sharpening the core methodological contribution of a Journal of Business & Economic Statistics (JBES) paper into one legible claim that pairs novelty with empirical relevance. Frames the contribution; it does not develop the theory or run the analysis.
jbes-data-analysis
Use when building the Monte Carlo evidence and the substantive empirical application for a Journal of Business & Economic Statistics (JBES) methods paper. Designs and audits the simulation study and the real-data analysis; it does not derive the asymptotic theory (see jbes-identification-strategy).
jbes-identification-strategy
Use when the methodological core of a Journal of Business & Economic Statistics (JBES) paper is the bottleneck — assumptions, regularity conditions, asymptotic theory, and Monte Carlo design for a new estimator, test, or algorithm. Stress-tests the method's validity, not a causal design.
jbes-literature-positioning
Use when positioning a Journal of Business & Economic Statistics (JBES) methods paper against prior econometric and statistical methods. Stakes what is new relative to the existing toolkit; it does not write a standalone literature survey.
jbes-rebuttal
Use when a Journal of Business & Economic Statistics (JBES) decision letter arrives (R&R or major revision) and a response strategy and letter are needed for a methods paper. Structures the revision and response; it does not redo the analysis (route to the relevant jbes-* skill).
jbes-replication-and-data-policy
Use when assembling the reproducible data-and-code supplement for a Journal of Business & Economic Statistics (JBES) paper under the American Statistical Association (ASA) data-sharing and reproducibility policy. Builds the supplement; it does not run the analysis itself.
jbes-review-process
Use when planning around the Journal of Business & Economic Statistics (JBES) peer-review process — the multi-Co-Editor model, what method referees scrutinize, and the discussion-paper tradition. Sets expectations; it does not draft the response letter (see jbes-rebuttal).
jbes-submission
Use when running the final pre-submission preflight for the Journal of Business & Economic Statistics (JBES) — files, the data-and-code supplement, declarations, and the cover letter for a multi-Co-Editor methods journal. Final checks; it does not draft content.
jbes-tables-figures
Use when designing the simulation tables and figures for a Journal of Business & Economic Statistics (JBES) methods paper so size, power, coverage, and the empirical results are legible to both statisticians and applied economists. Improves exhibits; it does not change results.
jbes-topic-selection
Use when deciding whether a project fits the Journal of Business & Economic Statistics (JBES) — the methods-with-empirics fit test. Checks methodological novelty plus clear empirical relevance before time is sunk; it does not develop the method itself.
jbes-workflow
Use when deciding which jbes-* sub-skill to invoke next, or when sequencing methods-paper work from topic selection through rebuttal for a Journal of Business & Economic Statistics (JBES) submission. Routes — it does not replace — the specialized skills.
jbes-writing-style
Use when polishing prose, theorem statements, the abstract, and the introduction for a Journal of Business & Economic Statistics (JBES) methods paper so the methodological contribution and its empirical relevance both land. Polishes exposition; it does not change theory or results.
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