Experimental Economics Writing Style
Polishes experimental economics manuscripts to meet top-tier journal standards with design-forward structure and transparent methodology.
Experimental Economics Writing Style guides researchers in structuring and refining academic manuscripts for premier experimental economics journals such as Experimental Economics, AER, and QJE. It enforces a design-forward narrative where experimental procedures are completely reproducible from the text alone, ensures abstracts explicitly state treatment contrasts and numeric effect sizes, standardizes procedural disclosures (such as z-Tree/oTree software usage, payoff conversions, and explicit no-deception statements), and calibrates empirical claims without overgeneralization.
Key Features
01Restructures abstracts to clearly present treatment contrasts, incentivized designs, and quantified headline effects
02Refines empirical reporting flow from raw behavioral patterns to primary hypothesis tests and exploratory analyses
031,079 GitHub stars
04Standardizes mnemonic treatment naming and quantifies effects in subject units rather than vague descriptions
05Formats experimental procedures sections for complete textual reproducibility and ethics compliance
06Calibrates external validity claims and hedges null results with statistical power context
Use Cases
01Polishing paper abstracts and introductions to immediately highlight causal identification and experimental contrasts
02Transforming scattered lab procedure notes and codebooks into a cohesive, journal-compliant methodology section
03Refining draft manuscripts prior to submitting to Experimental Economics, AER, QJE, or Management Science