policyengine-us-data

To impute IRS PUF tax variables into CPS ASEC data, you need modules from policyengine-us and policyengine-us-data, defining a FINANCIAL_SUBSET and IMPUTED_VARIABLES workflow to produce enhanced CPS datasets for microsimulation.

Aligning variable definitions across policyengine-us and policyengine-us-data requires using structured data pipelines that integrate cross-repo variables, ensuring consistent CPS and PUF processing for accurate policy microsimulations.

No, generating enhanced CPS datasets for microsimulation requires a clearly defined FINANCIAL_SUBSET and IMPUTED_VARIABLES workflow in the codebase to correctly map the imputed PUF tax variables into the CPS ASEC records.

Enhancing CPS data with imputed PUF variables is necessary when your US data workflow requires detailed tax-related variables for richer policy microsimulations and research that standard CPS ASEC datasets do not provide.

Yes, policyengine-us-data supports generating enhanced CPS datasets by imputing PUF-derived tax variables into CPS ASEC data, delivering structured data pipelines and examples for US microsimulation research workflows.

Imputed PUF variables in CPS microdata depend on the defined IMPUTED_VARIABLES workflow and cross-repo alignment, meaning accuracy relies on the imputation methodology and consistent variable definitions across policyengine-us repositories.