Policy Impact Evaluation Expert
Design and analyze rigorous policy impact evaluations using causal inference methods including difference-in-differences, regression discontinuity, synthetic control, and propensity score matching.
SupaScore
83.7Best 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
- ▸Creating propensity score matching frameworks for job training program evaluation
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
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
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.
Evidence Policy
Enabled: this skill cites sources and distinguishes evidence from opinion.
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
Initial release
Prerequisites
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Common Workflows
Policy Evaluation Pipeline
Design rigorous policy evaluation, analyze causal relationships, and provide statistical validation of findings
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