Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Use when situating a Journal of Public Policy & Marketing (JPP&M) manuscript against both the marketing-and-policy literature and the regulatory record, and defending the JPP&M lane against siblings. Positions the contribution; it does not build the framework (jppm-theory-development) or design studies (jppm-methods).
Use when choosing and designing the evidence for a Journal of Public Policy & Marketing (JPP&M) manuscript — experiments with policy-realistic stimuli, quasi-experimental policy evaluation (DiD, RDD, synthetic control), surveys, field data, or meta-analysis. Designs the studies; it does not estimate them (jppm-data-analysis).
Use when calibrating expectations for the Journal of Public Policy & Marketing (JPP&M) review cycle — desk-screen logic, the mixed reviewer pool, decision types, and what an R&R typically demands. Reads the process and the letter; drafting the response is jppm-rebuttal.
Use when analyzing and reporting the multi-study package for a Journal of Personality and Social Psychology (JPSP) manuscript to JARS standard — effect sizes with uncertainty, honest robustness, and an internal meta-analysis that pools effects across studies. Guides analysis and reporting norms; it does not fabricate results.
Use to understand how a Journal of Personality and Social Psychology (JPSP) manuscript is judged — per-section editors, masked review, the theoretical-innovation gate, central vs. peripheral limitations, and decision categories. Sets expectations; it does not predict any specific editor's or reviewer's verdict.
Use when handling the empirical analysis for a Journal of Public Economics (JPubE) manuscript — administrative tax/transfer/health/register data, elasticity and bunching estimation, sufficient-statistics and MVPF calculations, heterogeneity, and robustness. Executes the analysis plan; for the causal design itself use jpube-identification-strategy.
Use when the causal identification strategy is the bottleneck for a Journal of Public Economics (JPubE) manuscript — bunching at tax kinks/notches, regression kink (RKD), DID off reform rollout, IV from policy instruments, RDD at eligibility thresholds. Stress-tests the design against public-finance norms before tables are drafted.
Use when you need to understand or plan around the Journal of Public Economics (JPubE / JPubEc) editorial process — single anonymized review with a minimum of two reviewers, the Editorial Manager workflow, the Hendren–Kopczuk editorial leadership, SSRN preprint option, and the one-appeal policy. Explains the process; for the final file check use jpube-submission.
Use when assessing whether a research question fits the Journal of Public Economics (JPubE) — the economic role of government (taxation, public expenditure, social insurance, redistribution, externalities, public goods, fiscal policy) — and whether the policy stakes clear the bar for an international readership. Scopes the question; it does not run the analysis.
Use when the empirical core of a 《数量经济技术经济研究》 (JQTE) manuscript is an econometric model — time series, cointegration, mixed-frequency, VAR/SVAR, state-space, or panel / macro-econometrics. Enforces correct model setup, stationarity / unit-root and cointegration diagnostics, and lag/specification justification. Use when the method itself is the contribution rather than a causal identification claim.