Connect

JEP Evidence Without Equations

brycewang-stanfordbybrycewang-stanford
•
1.1k
•
Learning & Documentation

Translates complex econometric findings and equations into intuitive, plain-language evidence tailored for Journal of Economic Perspectives articles.

The JEP Evidence Without Equations skill guides researchers and economists in presenting empirical and theoretical evidence credibly without relying on mathematical machinery or dense regression tables. Tailored specifically for the Journal of Economic Perspectives (JEP) style, it helps authors convert abstract coefficients and asterisks into tangible magnitudes, select high-impact load-bearing statistics, characterize the broader consensus of literature, explain identification strategies in prose, and state caveats and external validity limits transparently.

Key Features

01Selects up to three load-bearing numbers to prevent overwhelming statistical tables
02Structures credibility and identification narratives clearly in natural language
03Translates econometric regression coefficients into tangible, real-world units
04Frames empirical evidence across bodies of literature rather than single isolated studies
05Conveys statistical precision through agreement ranges instead of significance asterisks
061,079 GitHub stars

Use Cases

01Rewriting dense econometric regression results into accessible policy briefs or syntheses
02Refining an academic economics draft for submission to the Journal of Economic Perspectives
03Translating complex quantitative findings for interdisciplinary and non-specialist audiences