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JPAM Topic Selection

brycewang-stanfordbybrycewang-stanford
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Learning & Documentation

Evaluates and refines academic research questions for causal credibility, decision-relevance, and fit with the Journal of Policy Analysis and Management.

JPAM Topic Selection guides researchers, economists, and policy analysts in testing and sharpening research ideas for submission to the Journal of Policy Analysis and Management (JPAM). It ensures a paper satisfies JPAM's dual requirement: causal evaluability using credible identification designs (such as RCTs, DiD, RD, or IV) combined with actionable, decision-relevant policy takeaways. By mapping interventions to concrete decision-makers and bridging insights across economics, political science, and public administration, this skill helps authors select the optimal article format and avoid common framing pitfalls before investing in full-scale analysis.

Key Features

01Pinpoints concrete policy interventions, counterfactuals, and decision-makers
02Recommends appropriate JPAM article formats including Feature Articles and Policy Insights
03Tests research topics against the 5-point JPAM fit criteria
04Aligns research framing across economics, political science, and public administration
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06Evaluates identification strategy credibility to prevent descriptive anti-patterns

Use Cases

01Choosing between JPAM and discipline-specific field journals for empirical policy evaluations
02Reframing economics or social science manuscripts to meet JPAM's policy-relevance standards
03Vetting and sharpening empirical research proposals prior to data collection and analysis