PolicyEngine
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PolicyEngineModel
Overview
PipelineCalibration targetsValidation
Behavioural responses

Data

Microdata pipeline

PolicyEngine constructs its representative household dataset through a multi-stage pipeline, starting from the Family Resources Survey and producing two weight matrices: one for 650 parliamentary constituencies and one for 360 local authorities.

Constituency (national)
Local authority

Family Resources Survey

Base microdata
Input
~20,000 households
→
Output
~20,000 households
DWP Family Resources Survey 2023-24

The Family Resources Survey (FRS) 2023-24 provides the baseline microdata, covering income, benefits, housing, and demographics for ~20,000 UK households. Variables are mapped to PolicyEngine's system, and benefit take-up rates are stochastically assigned.

  • Demographics: age, gender, marital status, employment status, education, region (12 UK regions)
  • 18+ reported benefit types: child benefit, universal credit, PIP, DLA, ESA, JSA, state pension, pension credit, housing benefit, carer's allowance, and more
  • Income: employment, self-employment, private pension, savings interest, dividends, property, maintenance
  • Housing: rent, council tax (with imputation for ~75% missing), mortgage interest/capital, tenure type, accommodation type
  • Stochastic take-up: child benefit, UC, pension credit, marriage allowance, Scottish Child Payment, tax-free childcare, extended/universal/targeted childcare
  • Grossing weights from FRS GROSS4 field
PolicyEngine

PolicyEngine 2026

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