Agent Skills
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respol-methods
GitHub用于解决研究政策稿件中设计瓶颈，指导选择并辩护适合创新研究主张的方法（如专利、因果评估、调查或案例研究）。强调构建效度与识别策略，防止将指标误作潜变量，确保方法与设计严谨匹配。
Trigger Scenarios
审稿人质疑默认设计（如OLS）能否支持论点
将专利或文献计量指标直接等同于创新或知识
政策评估仅用前后对比而无识别策略
调查数据存在共同方法偏差或选择性偏差风险
混合方法缺乏整合逻辑
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill respol-methods -g -y
SKILL.md
Frontmatter
{
"name": "respol-methods",
"description": "Use when research design, identification, or measurement is the bottleneck for a Research Policy (RP) manuscript — choosing and defending a method (patent\/bibliometric, causal policy evaluation, survey, case study, or mixed) appropriate to an innovation-studies claim. Sets the design; it does not execute the estimation\/coding (respol-data-analysis)."
}
Methods (respol-methods)
When to trigger
- The design is a default (OLS + controls, or a single case) and a referee questions whether it can support the claim
- A patent or bibliometric indicator is used as if it transparently measures "innovation" or "knowledge"
- A policy-evaluation paper rests on before/after comparison without an identification strategy
- A survey reports correlations vulnerable to common-method bias or selection
- A mixed-methods paper is really two studies stapled together with no integration logic
The Research Policy methods bar: pluralism with construct discipline
RP privileges no single technique — econometrics, bibliometrics/patent analysis, surveys, case studies, and mixed methods are all first-class — but it demands that the method fit the innovation-studies claim and that constructs be defended. The recurring RP failure is not weak statistics; it is treating an indicator (patents, citations, R&D spend) as if it were the latent thing (invention, knowledge flow, innovation effort). State what each measure does and does not capture, and design around its known biases.
Design paths by method
Patent / bibliometric quantitative
- Construct validity first. Patents measure patentable invention propensity, not innovation; citations measure traceable knowledge linkage, not knowledge value. Justify the indicator for your claim and acknowledge truncation, sectoral propensity, and home/strategic bias.
- Citation hygiene. Distinguish examiner- vs. applicant-added citations; correct self-citations; handle citation truncation (fixed windows or quasi-structural correction).
- Endogeneity. Patent/co-patent measures of spillovers are endogenous to firm location and choices — defend with design (instruments, natural experiments) or bound the bias, don't assume exogeneity.
- Family/coverage. State the patent office(s), family definition (DOCDB/INPADOC), and the matching of patents to firms/regions.
Causal policy evaluation (R&D subsidies, missions, IP reform)
- Move beyond naive before/after: DID with a credible control (and, for staggered policy rollout, Callaway-Sant'Anna / Sun-Abraham / de Chaisemartin-D'Haultfœuille rather than plain TWFE); IV with a defended exclusion restriction; RDD at an eligibility threshold with density and covariate-smoothness checks.
- Tie the estimand to the innovation mechanism (additionality vs. crowding-out, direction vs. rate of innovation), and argue policy-invariance for any counterfactual.
Survey (firm innovation behavior, CIS-style)
- Report sampling frame, response rate, and non-response/selection checks; address common-method bias by design (separated sources, marker variables, Harman is necessary not sufficient).
- Establish measurement validity (construct definitions, reliability, discriminant validity) before structural claims; state the population the estimates generalize to.
Case study / qualitative
- Justify case selection on theoretical grounds (typical, extreme, polar); specify data sources and triangulation; pursue analytic (not statistical) generalization; show how rich data became constructs.
Mixed methods
- State the integration logic: does the qualitative work generate the mechanism the quantitative work tests, or do the strands triangulate a construct? RP rejects "two papers in one" with no sequencing rationale.
Execution bridge (StatsPAI / Stata MCP)
Estimate and audit the design, don't only describe it. Full map:
execution-with-mcp. Research Policy is innovation studies — patent/firm panels with selection; foreground identification and the selection objection.
detect_design→recommend→ fit withas_handle=true→audit_result.- Observational causal claims: staggered DiD (
callaway_santanna/sun_abraham+bacon_decomposition+honest_did_from_result); IV (effective_f_test+anderson_rubin_ci); RDD (rdrobust+mccrary_test). - Experiments: randomization-based inference +
romano_wolffor many-outcome control. - Sensitivity:
oster_delta/sensemakrfor observational claims.
Report the magnitude in interpretable units; route the full battery to the appendix. A run end-to-end (synthetic data, real returns) is in the JF execution walkthrough.
Checklist
- The method is chosen to fit the innovation-studies claim, not by convenience or fashion
- Each patent/bibliometric indicator's construct meaning and known biases are stated
- Citation measures handle examiner/applicant, self-citation, and truncation
- Causal designs use a credible counterfactual and modern staggered-treatment estimators where TWFE would bias
- Surveys report response/selection and address common-method bias by design
- Qualitative work defends case selection and generalization type
- Mixed methods state an explicit integration logic
Anti-patterns
- "Patents = innovation" with no construct caveat
- Spillover claims from co-location/citations treated as exogenous
- Plain TWFE on a staggered policy rollout with no heterogeneity discussion
- Survey structural models with unaddressed common-method bias
- A single case framed as if it gave statistical generalization
- Mixed methods with no sequencing or integration rationale
Output format
【Journal】Research Policy
【Skill】respol-methods
【Method】patent-bibliometric / causal-policy-eval / survey / case / mixed
【Construct defense】what the measure captures and its biases
【Identification / validity】counterfactual / first-stage / selection / triangulation
【Innovation-mechanism link】how the design speaks to the mechanism
【What it does NOT support】...
【Verdict】pass / revise / reroute
【Next skill】respol-data-analysis
Version History
- 1839142 Current 2026-07-05 14:19
