policyengine-uk-data

Wealth imputation adds WAS-derived wealth variables to Family Resources Survey datasets. This Skill applies statistical matching to bridge the wealth information gap, enabling enhanced analyses of household finances in UK microsimulations without collecting new survey data.

The Family Resources Survey (FRS) is a large UK household survey lacking detailed wealth data, while the Wealth and Assets Survey (WAS) specializes in wealth but has smaller sample sizes. This Skill combines both by imputing WAS wealth variables into FRS records for comprehensive policy analysis.

Yes. The Skill supports derived variables, validation utilities, and testing scenarios designed for analysts and policy researchers. Enhanced FRS datasets with imputed wealth enable wealth-aware policy comparisons and modular pipeline integration across calibration and validation workflows.

After imputation, the enriched FRS dataset is ready for downstream analysis: run wealth distribution comparisons, model post-policy outcomes, or export results for further processing. The modular design integrates with existing FRS enhancement pipelines for seamless analyst workflows.

The Skill handles FRS datasets as input and applies RENAMES mappings and derived balance calculations internally. Ensure your FRS data matches standard survey structure; the modular Python implementation manages technical transformation and validation steps automatically.

Imputation relies on statistical matching between FRS and WAS samples, so accuracy depends on representative overlap and homogeneity assumptions. Results are estimates, not observed values; use validation utilities provided to assess fit for your specific policy research context.