Experimental Economics (experimental-economics)

SkillDev tools

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.

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Experimental Economics (experimental-economics) skill

What this skill tells your AI

The instructions your AI receives, as published by brycewang-stanford/awesome-journal-skills in English-SocialScience-Journal-Skills/skills/experimental-economics/SKILL.md and read by ahel’s review.

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.md and ../../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-resources or journal-of-health-economics; econometrics of experiments → journal-of-applied-econometrics or international-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>

Signals

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Item type
skill
Key
experimental-economics
Source
github.com/brycewang-stanford/awesome-journal-skills