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PIP point system (partly modelled)

What PIP scoring actually is

The Personal Independence Payment is awarded on a points-based assessment defined in Schedule 1 to SI 2013/377 (the Social Security (Personal Independence Payment) Regulations 2013):

The award rule:

Total points (per component)Award
0–7None
8–11Standard rate
12+Enhanced rate

Daily living and mobility are scored independently, so a claimant can be on standard daily-living and enhanced mobility, or any other combination.

Why the current categorical model is reasonable for microsim

For population-aggregate simulation, the categorical bands are sufficient because:

So for headline distributional and fiscal analysis the categorical inputs are correct.

Where the point system would matter

Three reform scenarios that the categorical model can’t answer:

  1. Activity-level descriptor reform: for example, the April 2024 green paper consulted on changing the descriptors, and the March 2025 Pathways to Work green paper proposed requiring at least four points in one daily-living activity for the daily-living component. The government withdrew the four-point change in July 2025, pending a review of the PIP assessment. A categorical input can’t capture this; the categorical band wouldn’t shift unless an analyst manually re-bands a synthetic distribution.

  2. Threshold reform: changing the band thresholds (for example raising the standard-rate floor from 8 to 10 points). The thresholds are now parameters, so this works for households entered with points, but not in microsimulation, where the data supply bands rather than points.

  3. Targeted analysis by descriptor: distributional questions like “how does the enhanced cohort split between mobility activities” need the underlying activity scores.

Proposed scope

Phase 1: points-to-category mapping

This is a strict superset of the current model: the categorical input remains authoritative by default, and analysts opting into the points machinery (for reform analysis) get the activity-level surface.

Phase 2: descriptor-level parameters

Phase 3: data-side imputation

Open questions

References