PolicyEngine / PolicyEngine/policyengine-uk

Slice Housing Benefit take-up by family type

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Dominant language
Python
Stars
50
Forks
33
Avg merge
20h 58m
Merged PRs (30d)
14

Description

Per tables HB1 and HB3 in the Housing Benefit take-up spreadsheet, take-up is 81% overall, but it varies by family type:

  • 86% for pensioners
  • 64% non-pensioner couples with children
  • 88% non-pensioner singles with children
  • 80% non-pensioner couples/singles without children

HB5 and HB7 also show that Housing Benefit take-up varies by these characteristics:

  • 88% social rented vs 69% private rented
  • 57% in work vs 96% out of work

However, combining these take-ups would require raking or another statistical technique, and it may be somewhat captured by applying the simpler MECE split by family type.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reviewing the linked Housing Benefit take-up spreadsheet, especially tables HB1, HB3, HB5, and HB7, and determine whether the requested family-type split is the intended MECE implementation or needs raking. No repository file, test, or entry point is identified; done should include an agreed statistical method and take-up results that match the relevant source tables.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
35/100

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