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Experimental Economics Theory Modeling

brycewang-stanfordbybrycewang-stanford
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Learning & Documentation

Translates behavioral and game-theoretic arguments into pre-specified, testable hypotheses for experimental economics manuscripts.

The expecon-theory-model skill helps experimental economics researchers formulate rigorous theoretical benchmarks and competing behavioral hypotheses for academic manuscripts and pre-analysis plans. It guides authors in explicitly formalizing game structures in experimental currency units, deriving numeric standard-preference benchmarks (such as Nash or subgame-perfect equilibria), mapping alternative behavioral models (such as reciprocity, level-k, or quantal response equilibria), and generating signed, treatment-indexed comparative-statics predictions that cleanly distinguish true theoretical mechanisms from participant confusion.

Key Features

01Derives precise numeric standard-preference benchmarks and game specifications in experimental currency units (ECU)
02Layers competing behavioral models to map where predictions diverge across treatment conditions
03Formulates signed, treatment-indexed directional hypotheses ready for Pre-Analysis Plans (PAPs)
04Distinguishes point predictions from noise-resilient comparative-statics predictions
05Establishes parameter calibrations that separate genuine behavioral mechanisms from comprehension errors
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Use Cases

01Calibrating experimental payoffs and parameters to guarantee that candidate models produce opposing or separable predictions
02Formalizing theoretical predictions and rival behavioral hypotheses prior to registering a Pre-Analysis Plan (PAP)
03Responding to journal referee feedback demanding explicit theoretical foundations and discriminating treatment effects