policyengine-district-analysis

Analyze district-level policy impacts using PolicyEngine US microsimulation.

2|Updated Mar 31, 2026
One-click install
npx skills add https://github.com/PolicyEngine/policyengine-skills --skill policyengine-district-analysis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: policyengine-district-analysis
Source: https://github.com/PolicyEngine/policyengine-skills/tree/main/skills/analysis/policyengine-district-analysis-skill
Command: npx skills add https://github.com/PolicyEngine/policyengine-skills --skill policyengine-district-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze district-level policy impacts by applying microsimulation to quantify how reforms affect households within specific districts.

Core Features & Use Cases

  • District-level policy analysis using microsimulation data
  • Compare baseline vs reform outcomes across districts such as NY-17 or CA-52
  • Integrates HuggingFace district datasets for rapid, policy-relevant insights

Quick Start

Run a district analysis by specifying a district (e.g., NY-17) and a reform to compare baseline and reformed outcomes.

Frequently Asked Questions about policyengine-district-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze district-level policy impacts using microsimulation?

To analyze district-level policy impacts, specify a district identifier like NY-17 and a reform definition to compare baseline versus reformed household outcomes using the policyengine_us Microsimulation toolkit.

What data do I need to compare baseline vs reform outcomes across districts?

Comparing baseline vs reform outcomes requires HuggingFace district datasets, district identifiers, and reform definitions to compute changes in household impacts within specific geographic areas.

Can I use HuggingFace datasets to quantify how policy reforms affect households in specific districts?

Yes, you can integrate HuggingFace district datasets with the policyengine_us Microsimulation toolkit to quantify how specified reforms affect households within specific districts.

What district identifiers work for geographic policy effects analysis?

District identifiers like NY-17 or CA-52 work for geographic policy effects analysis, allowing the microsimulation to target and compute outcomes for households within those specific districts.

Do I need the policyengine_us Microsimulation toolkit to run district analysis?

Yes, the policyengine_us Microsimulation toolkit is required to run district analysis, as it applies the microsimulation logic needed to compute baseline versus reformed outcomes from the district data.

Are there limitations when using microsimulation for district-level policy analysis?

District-level policy analysis depends on the availability and granularity of HuggingFace district datasets, meaning insights are constrained by the geographic specificity and household coverage within those datasets.