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policyengine-simulation-mechanics - Work with PolicyEngine simulation results and entity mappings

Use policyengine.py microsimulations with caching, result access, entity mapping, and aggregate calculations.

Tags

Updated: 2026-09-29

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • Run microsimulations
  • Reuse cached simulations
  • Save simulation results
  • Load simulation results
  • Access calculated variables
  • Map data between entities
  • Aggregate entity values
  • Compare simulation outcomes

Inputs

  • Simulation dataset
  • Tax-benefit model version
  • Policy definition
  • Simulation configuration
  • Entity variables

Outputs

  • Simulation results
  • Entity-level dataframes
  • Mapped entity data
  • Aggregate calculations
  • Persisted simulation state

Requirements

  • Python environment
  • policyengine.py microsimulation package
  • Compatible tax-benefit model

Source

  • Spec: SKILL.md
microsimulation
PolicyEngine
caching
entity mapping
data analysis
tax-benefit modeling
Run microsimulations
Reuse cached simulations
Save simulation results
Load simulation results
Simulation dataset
Tax-benefit model version
Policy definition
Simulation results
Entity-level dataframes
Mapped entity data