Journal Of Business And Economic Statistics Skills

Agent skill stack for manuscripts targeted at the Journal of Business & Economic Statistics (JBES) — a methodological econometrics-and-statistics journal published by Taylor & Francis on behalf of the American Statistical Association (ASA). JBES rewards new or improved statistical/econometric methods (including machine-learning and data-science methods and computational improvements) that carry cl

by @brycewang-stanford 12 skills

Install

npx skillmds@latest add plugin:brycewang-stanford/journal-of-business-and-economic-statistics-skills

One command, no setup. In Claude Code it lands as a managed plugin you can enable, disable or remove with /plugin. On any other agent it installs the 12 skills into that agent's own folder.

Or inside Claude Code

In the Plugins tab, add this marketplace:

skillmds/skillmd
/plugin install brycewang-stanford-journal-of-business-and-economic-statistics-skills@skillmd

Adds the marketplace once; later plugins need the second line only.

Or install by hand

Download the plugin and unzip its skills/ folder into your agent's skills directory. Works with every agent, no CLI needed.

Download plugin Paths per agent

Just the markdown? SKILL.md files only.

This plugin

skills: 12
authors: 1

Published by a registry member. Review its skills before installing.

Skills in this plugin

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Jbes Rebuttal · brycewang-stanford
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).

1k repo stars
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Jbes Workflow · brycewang-stanford
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.

1k repo stars
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Jbes Submission · brycewang-stanford
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.

1k repo stars
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Jbes Data Analysis · brycewang-stanford
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).

1k repo stars
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Jbes Writing Style · brycewang-stanford
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.

1k repo stars
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Jbes Review Process · brycewang-stanford
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).

1k repo stars
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Jbes Tables Figures · brycewang-stanford
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.

1k repo stars
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Jbes Topic Selection · brycewang-stanford
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.

1k repo stars
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Jbes Contribution Framing · brycewang-stanford
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.

1k repo stars
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Jbes Literature Positioning · brycewang-stanford
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.

1k repo stars
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Jbes Identification Strategy · brycewang-stanford
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.

1k repo stars
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Jbes Replication And Data Policy · brycewang-stanford
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.

1k repo stars