Add effective take-up rate analysis plan (#1354)#1728
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#1354 asks for a comprehensive analysis of how the data processing pipeline changes effective take-up rates away from the seed values. The initial analysis (Max's gist) covers UC and CTC; the issue asks to extend that to every benefit. Persist the methodology in-repo so the analysis is repeatable and the per-programme target list is stable. The page enumerates 17 programmes with current take-up handling status (modern input-only pattern for UC/PC; legacy formula-derived for HB/IS/WTC/CTC pending the #1621 fix; reported-only for disability benefits; no take-up step at all for State Pension and CTR), the methodology (seed rate -> effective post-pipeline rate -> published outturn share -> drift), and proposes a docs/book/validation/take-up-rates.ipynb deliverable. Cross-links to the pipeline-alignment plan because the assign_takeup_with_reported_anchors port from policyengine-us-data is the most likely systematic source of seed-vs-effective drift, and landing it changes the numbers this analysis would produce.
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Summary
policyengine-uk-data. Persist the methodology in-repo atdocs/book/assumptions/takeup-analysis-plan.md.disability-legacy-benefits.md.docs/book/validation/take-up-rates.ipynbnotebook so future builds can re-run and update the gaps table.assign_takeup_with_reported_anchorsport frompolicyengine-us-data(tracked in Align UK model/data pipeline with US patterns: reported-anchoring, second-stage imputation, and downstream bugs #1621) is the most likely systematic source of seed-vs-effective drift for the legacy-pattern programmes; landing it would change the numbers this analysis produces. Cross-links accordingly.Test plan
assumptions/.🤖 Generated with Claude Code