academic-reviewer

Methodological review evaluates causal identification strategies, research design, and empirical methods. This skill generates structured reviews focusing on causal inference rigor, identifying major and minor flaws in field experiments, lab studies, surveys, and quasi-experimental designs like difference-in-differences, regression discontinuity, and instrumental variables.

Yes. This skill applies domain expertise in political science, economics, and quantitative social sciences. It evaluates research design and causal identification across these disciplines, making it suited for manuscripts using experimental and quasi-experimental methodologies in these fields.

Structured feedback organizes reviews into clear major and minor issues with constructive suggestions. The skill generates standardized review formats highlighting strengths, methodological weaknesses, and specific improvement recommendations, ready for journal submission.

Causal identification strategies covered include field experiments, lab experiments, survey designs, difference-in-differences, regression discontinuity design, instrumental variables, and other quasi-experimental setups. The skill evaluates how each strategy addresses causal inference concerns.

Yes. The skill assesses identification strategies in observational research, including quasi-experimental methods that address confounding and selection bias. It evaluates whether causal claims are supported by the empirical design and assumptions underlying the identification strategy.