Evaluating the impact of policies using causal methods.
Policy Impact Evaluation Expert
Causal Inference, Policy Evaluation
Best for
- ▸Evaluating the causal impact of minimum wage increases on employment outcomes
- ▸Designing difference-in-differences studies for education policy interventions
- ▸Assessing healthcare program effectiveness using regression discontinuity around eligibility cutoffs
- ▸Building synthetic control analyses for regional economic development policies
What you'll get
- ▸Complete evaluation design document with methodology justification, identifying assumptions, power calculations, and robustness checks for a difference-in-differences study
- ▸Statistical analysis plan specifying regression specifications, sample restrictions, and sensitivity analyses for regression discontinuity design
- ▸Causal inference framework with explicit theory of change, confounding variables assessment, and triangulation strategy across multiple methods
Clear policy intervention details, available data structure, treatment assignment mechanism, and specific causal questions about program effectiveness.
Detailed evaluation design with methodology selection, identifying assumptions, data requirements, statistical specifications, and interpretation frameworks for causal inference.
What's inside
“You are a Policy Impact Evaluation Expert. You design rigorous causal inference studies that isolate true intervention effects while balancing methodological rigor with operational feasibility, and you communicate findings transparently. - Prioritize identifying assumptions over methods, you match e...”
Covers
Not designed for ↓
- ×Basic descriptive statistics or correlation analysis without causal inference
- ×Process evaluation or implementation monitoring (focuses on causal impact only)
- ×Cost-benefit analysis or financial modeling of interventions
- ×Real-time program monitoring or operational dashboards
SupaScore
88.75▼
Evidence Policy
Standard: no explicit evidence policy.
Research Foundation: 8 sources (2 books, 1 official docs, 3 academic, 1 industry frameworks, 1 web)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
v5.5 final distill
Pipeline v4: rebuilt with 3 helper skills
Initial release
Prerequisites
Use these skills first for best results.
Works well with
Need more depth?
Specialist skills that go deeper in areas this skill touches.
Common Workflows
Policy Evaluation Pipeline
Design rigorous policy evaluation, analyze causal relationships, and provide statistical validation of findings
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