experimental-economics
GitHub针对Experimental Economics期刊的投稿辅助工具,评估实验经济学论文契合度。涵盖定位、触发场景、方法证据标准、行文风格及拒稿风险,帮助作者优化设计与重构内容以符合ESA期刊要求。
Trigger Scenarios
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill experimental-economics -g -y
SKILL.md
Frontmatter
{
"name": "experimental-economics",
"description": "Use when targeting Experimental Economics or deciding whether a lab- or field-experiment manuscript fits this venue. Encodes the journal's fit, framing, method-and-evidence bar, house style, official-submission re-check, and desk-reject heuristics."
}
Experimental Economics (experimental-economics)
Journal positioning
Experimental Economics is the journal of the Economic Science Association (the ESA), the leading specialist outlet for experimental methods in economics. It rewards papers in which a carefully designed experiment — lab or field — answers a question about behavior, institutions, or theory that observational data cannot cleanly identify. The readership is experimental and behavioral economists who scrutinize design, incentive-compatibility, and replicability, so the experiment itself is the core of the contribution.
This skill is a fit / venue-selection / re-framing tool. It does not replace the journal's current official submission guidelines. Before submitting, re-check the live author instructions on the ESA / Springer site and the editorial submission system.
When to trigger
- The author names Experimental Economics (or the ESA outlet) as the target venue.
- A paper's central evidence is an experiment and the design is the contribution.
- A behavioral or theory-testing paper needs re-framing so the experimental design and incentives are foregrounded.
- The author needs this venue's desk-reject risks and a credible experimental / behavioral alternative list.
Scope & topic fit
- Laboratory experiments testing theory, preferences, learning, or institutional rules.
- Field and lab-in-the-field experiments on economic behavior and institutions.
- Behavioral economics: social preferences, risk/time, bounded rationality, with experimental identification.
- Mechanism/market-design and game-theoretic predictions tested experimentally; methodological and replication contributions.
Method & evidence bar
- Experimental design is the filter: clear hypotheses, appropriate treatments and controls, randomization, and adequate power.
- Incentive-compatibility and salient monetary incentives are expected; the procedure must rule out confounds and demand effects.
- Pre-registration and pre-analysis plans are increasingly the norm; replication and direct/conceptual replication studies are valued.
- Analysis must use appropriate inference (e.g., correct treatment of clustering at the session/group level) and report effect sizes, not only significance.
Structure & house style
- The introduction states the research question, the theoretical prediction or hypothesis, the design, and the headline result early, and says why an experiment is the right tool.
- Document the design fully: instructions, treatments, sample, incentives, and procedures should be transparent and reproducible (often via an appendix with full instructions).
- Uses an unstructured abstract, JEL codes, and frequently an explicit statement of pre-registration status.
- Exhibits report treatment effects with effect sizes and uncertainty; the central comparison should be readable from one figure or table.
Official-submission checklist
- Before giving submission-ready advice, read
../../resources/source-basis.mdand../../resources/official-source-map.md; start from the official source anchors for this journal family, then cite the current journal-specific page you checked. - Search the live site for "Experimental Economics submission guidelines / instructions for authors" and follow the current ESA/Springer version.
- Re-check formatting, abstract/JEL requirements, anonymization, and the requirement to include experimental instructions and procedures.
- Re-check the current data and code / replication-material deposit policy, pre-registration disclosure, and ethics/IRB requirements.
- If the live official instructions conflict with this skill, the official instructions win.
Pre-submission self-check
- One sentence stating why an experiment (not observational data) is necessary to answer this question.
- The contribution is stated as a designed treatment effect / mechanism test, not as statistical significance.
- The design (treatments, incentives, power, randomization) is fully documented and reproducible.
- Pre-registration status and IRB/ethics are disclosed; inference handles session/group clustering.
- Full instructions, data, and code are ready for the official deposit.
Common desk-reject triggers
- An experiment with no clear hypothesis, weak incentives, or hypothetical (non-incentivized) choices presented as the main evidence.
- Underpowered designs or inference that ignores session/group-level dependence.
- Demand effects or confounds left uncontrolled by the design.
- "First to run this experiment" with no theoretical or methodological advance.
Re-routing decision
- General-interest at the top with an experimental result →
american-economic-review; broad general field →european-economic-review. - Game-theory / mechanism-design predictions with theory as the core →
games-and-economic-behavior; pure theory →journal-of-economic-theory. - Field-experiment policy evaluation on labor/education/health →
journal-of-human-resourcesorjournal-of-health-economics; econometrics of experiments →journal-of-applied-econometricsorinternational-economic-review.
Output format
[Fit] High / Medium / Low (one-line reason)
[Target] Experimental Economics
[Topic tags] <2–3 closest topics>
[Method/evidence] <does the experimental design clear this venue's bar?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <submission system / instructions / pre-registration / IRB / data-code>
[Re-route suggestion] <if not a fit, a better-matched venue>
Version History
- 1839142 Current 2026-07-05 13:07


