Economic Impact Analysis Framework for Policy Proposals
Analyze economic impacts of policy proposals with Treasury-aligned rigor
What You Can Do
You can systematically decompose policy proposals into measurable economic impacts across three dimensions: direct fiscal costs and revenues, indirect sectoral and employment effects, and distributional consequences across income groups and regions. The framework guides you through data gathering, assumption documentation, sensitivity analysis, and peer-review-ready presentation of findings—transforming qualitative policy designs into quantitative economic assessments that withstand legislative scrutiny and inform high-stakes decisions.
Features
Calculate budget costs, revenue changes, and net fiscal effects with transparent assumption documentation
Estimate employment, output, and competitiveness effects across specific industries and supply chains
Quantify who benefits and who loses across income quintiles, regions, demographics, and sectors
Model alternative assumptions and policy designs to bound estimates and identify critical variables
Structure analyses to meet Circular A-4 standards and Treasury guidance for credible policy evaluation
Create transparent audit trails for all modeling choices, data sources, and methodological decisions
Format outputs with confidence intervals, limitations, and technical appendices for expert scrutiny
Example Output
Example 1: Carbon Tax Impact Analysis
Direct Fiscal Effects: $2.5B annual revenue at $50/ton CO2, declining 15% over decade as emissions fall. Administrative costs $85M annually.
Sectoral Consequences: Energy sector reduces 8,500 jobs (power, refining); renewable manufacturing adds 12,200 jobs. Net output loss in manufacturing: -0.3% GDP.
Distributional Effects: Bottom income quintile pays 3.2% of household income vs. 0.8% for top quintile (regressive). Regional impact: coal states lose 2.1% employment, clean energy states gain 0.7%.
Example 2: Wage Subsidy Program
Direct Fiscal: $1.2B annual cost for $3/hour employer subsidy on target population. Take-up rate: 68% of eligible workers based on comparable programs.
Employment Effects: Model estimates 45,000 net new jobs (accounting for wage-bill substitution and macroeconomic feedback). Wage compression risk in low-skill labor market: -0.8% wage growth for non-subsidized workers.
Distribution: 67% of benefits to workers earning $25K-$50K annually. Geographic concentration in rural areas (58% of participants). Racial/ethnic distribution reflects state demographics with 12-point variance by region.
What's Included
- SKILL.md instruction file with framework overview and methodology:
- Three-Dimensional Impact Template (fiscal, sectoral, distributional analysis worksheets):
- Sensitivity Analysis Checklist (variable identification, bounds testing, scenario design):
- Data Source Registry (standard economic datasets, labor statistics, input-output tables):
- Documentation & Transparency Workbook (assumption log, confidence interval calculator, limitations framework):
- OMB Circular A-4 Compliance Checklist (required elements for formal policy analysis):
Who It's For
- Policy Analysts evaluating legislative proposals and regulatory changes with budget implications
- Legislative Staff preparing economic assessments for committee testimony and briefing materials
- Budget Analysts estimating fiscal sustainability of entitlement programs and subsidy schemes
- Treasury/Finance Officials conducting interagency policy review with economic impact documentation
- Regulatory Economists assessing employment and sectoral consequences of proposed rules
Best For
- Cost-benefit analysis of infrastructure, tax, and labor policy proposals
- Employment impact modeling for sector-specific or regional policy changes
- Distributional equity analysis across income groups, demographics, and geographies
- Long-term fiscal sustainability assessment of entitlement and subsidy programs
- Scenario and sensitivity analysis comparing alternative policy designs
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