PolicyEngine / PolicyEngine/policyengine-uk

Validate PolicyEngine child poverty estimates against RF/OBR benchmarks

Open
#1,398 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

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

Description

Summary

The Resolution Foundation and OBR have published specific child poverty estimates for the November 2025 Autumn Budget. We should validate PolicyEngine's estimates against these benchmarks.

Target Benchmarks

Two-Child Limit Removal
Source Children lifted from poverty Cost (2029-30)
OBR 450,000 £3.0 billion
Resolution Foundation 480,000 £3.5 billion
PolicyEngine TBD TBD
Baseline Child Poverty
Source 2024-25 2029-30 (no action)
RF 31% (4.5m children) 34% (4.8m children)
PolicyEngine TBD TBD

Methodology Differences to Consider

  1. Nowcasting: RF uses FRS with ONS price index nowcasting
  2. Earnings growth: RF uses Bank of England/OBR wage forecasts with spillover effects
  3. Housing costs: RF uses ONS PIPR for rent inflation
  4. Take-up assumptions: Different benefit take-up rate assumptions

Tasks

  • Run PolicyEngine simulation for two-child limit removal
  • Compare fiscal cost estimates with OBR Table 3.2
  • Compare child poverty reduction with RF/OBR estimates
  • Document any significant discrepancies and their likely causes
  • Update documentation if methodology adjustments are needed

Related Issues

  • #1171 - PE vs RF nowcasting documentation
  • #1179 - RF earnings growth methodology
  • #1388 - Two-child limit removal implementation

Source

🤖 Generated with Claude Code

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 running the PolicyEngine simulation for two-child limit removal and reviewing related issue #1388. Compare the results with OBR Table 3.2 and the Resolution Foundation benchmarks, accounting for the listed nowcasting, earnings-growth, housing-cost, and take-up differences. Done means documenting discrepancies and updating methodology documentation if adjustments are needed.

Written by the indexing model from the issue text.

Assessment

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

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.