Connect

Quantitative Economics Topic Selection

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

Evaluates research project fit for Quantitative Economics by assessing economic question sharpness, quantitative rigor, and Econometric Society journal alignment.

Quantitative Economics Topic Selection helps academic researchers determine whether their research project aligns with Quantitative Economics (QE), the Econometric Society's empirical and computational flagship outlet. It systematically evaluates if a project balances a first-order economic question with rigorous quantitative methods—such as structural estimation, causal inference, lab/field experiments, or simulations—while helping researchers differentiate fit between QE, Econometrica, and Theoretical Economics. It also enforces ES reproducibility and pre-registration standards early in the project lifecycle.

Key Features

01Routes papers appropriately across the Econometric Society trio (QE, Econometrica, Theoretical Economics)
02Generates structured fit assessments with actionable next-step guidance
03Validates compliance with Econometric Society data, code, and pre-registration requirements
04Ensures the synergy between substantive economic questions and quantitative methodology
051,090 GitHub stars
06Evaluates project fit against Quantitative Economics editorial expectations and standards

Use Cases

01Pivoting a methodological estimator project into an applied, general-interest QE submission
02Auditing data access and code reproducibility feasibility before launching a full-scale submission
03Deciding whether a quantitative or empirical paper belongs in QE versus Econometrica or a top field journal