Skill UI

This guide helps researchers determine the optimal publication venue for their econometrics research. It provides detailed rules for assessing whether a paper's contribution is best suited for The Econometrics Journal (EctJ), a general econometrics journal, a theory journal, or a specific field journal. It emphasizes distinguishing between methods with leading-case applied value, purely theoretical proofs, and general empirical findings to improve publication chances.

A comprehensive toolkit designed for international macroeconomics research, ensuring that headline estimates are stable and reliable. It systematically tests the robustness of findings against common methodological threats, such as leaving out individual countries, changing sample periods, controlling for global common shocks, or varying estimation specifications. Essential for submitting high-impact academic papers.

This guide provides a structured methodology for designing a comprehensive robustness suite for high-stakes academic papers, particularly in monetary economics and banking. Instead of running arbitrary checks, it maps diagnostic tests directly to named econometric threats (e.g., shock contamination, specification dependence, inference understatement, regime shifts), ensuring the credibility and rigor of empirical findings.

This comprehensive suite provides systematic checks to ensure spatial estimates are robust against methodological choices. It addresses core econometric issues such as Modifiable Areal Unit Problem (MAUP), boundary arbitrariness, spatial sorting, and spillover effects. Use this guide when submitting research to high-impact journals (like JUE) to demonstrate the reliability and stability of spatial relationships.

This guide helps researchers determine if their academic project is best suited for Quantitative Economics (QE) among top economic journals. It provides a structured fit test, guiding users to sharpen the substantive economic question and confirm that the quantitative method is necessary—not merely decorative—to answer it. It helps situate research by comparing QE against pure theory and method-first outlets.

A comprehensive framework designed for rigorous academic research, ensuring that primary findings remain stable across various methodological choices. It systematically tests the robustness of estimates against potential weaknesses in specification, sample selection, measurement, identification, and inference. This suite defends the headline result against skeptical scrutiny, which is crucial for publication in top-tier economics journals.

A comprehensive guide for executing and stress-testing empirical analyses in Industrial Organization (IO). It covers structural and reduced-form model diagnostics, advanced inference techniques (e.g., wild-cluster bootstrap), counterfactual validation, and meeting the rigorous robustness standards demanded by top-tier academic journals. Focuses on methodology, not study design.