expecon-theory-model
Use when turning the behavioral or game-theoretic argument behind an Experimental Economics (ExpEcon) manuscript into pre-specified, testable predictions. Develops the hypotheses tested; it does not run estimation or invent citations.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill expecon-theory-model --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Theory and Hypotheses (expecon-theory-model) ## When to trigger - The design exists but the paper never states *which model predicts what* in each treatment - Competing accounts (selfishness, inequity aversion, reciprocity, social image, level-k, QRE, confusion) all rationalize the same data and you cannot tell them apart - A referee asks for "the theoretical prediction" and the draft only has informal intuition - You need the equilibrium/point predictions that your pre-analysis plan will commit to *before* data collection ## Theory here is a hypothesis generator, not the headline At a method-defined journal, the model earns its place by **producing the predictions your treatments adjudicate**. You do not need a new theorem (that is GEB). You need a transparent map: *given this game and these parameters, model A predicts X in treatment T1 and Y in T2; model B predicts the reverse.* Build that map in four steps. 1. **State the game precisely.** Players, action sets, information, payoffs in **experimental currency units (ECU) and their money conversion**, matching protocol, and horizon. This is the object subjects actually face — write it as they experience it. 2. **Derive the benc
- When to trigger
- Theory here is a hypothesis generator, not the headline
- Making predictions discriminating
- Equilibrium concept and what it buys you
- Worked vignette (illustrative)
- Referee pushback mapped to the fix
- When the "theory" is a measurement model
- Checklist
- How much formalism is enough
- Translating predictions into the pre-analysis plan
- Anti-patterns
- Handoff to the design
- Output format
What does the expecon-theory-model skill do?
Use when turning the behavioral or game-theoretic argument behind an Experimental Economics (ExpEcon) manuscript into pre-specified, testable predictions. Develops the hypotheses tested; it does not run estimation or invent citations.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill expecon-theory-model --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.