PolicyEngine / PolicyEngine/snap-qc-sim

Claiming-gap validation: CPS-predicted medical-expense exposure vs QC claiming by state

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Dominant language
Python
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Description

Compare the CPS-predicted share of elderly/disabled SNAP households with out-of-pocket medical expenses above $35/month, by state, against the QC file's observed FSMEDEXP claiming share. Validates the medical-documentation intermediate predictor for synthetic caseloads and measures the medical deduction's take-up gap in one pass. Note the DC mechanism split: PE encodes DC's 100%-FPL aged/disabled Medicaid pathway but not its expanded (~300% FPL, no-asset-test) QMB, and coverage→OOP formation is not modeled — CPS-reported MOOP carries that signal empirically at baseline.

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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 locating the CPS inputs and the QC file, then identify the state-level elderly/disabled SNAP and FSMEDEXP measures. Compare the CPS-predicted share with the observed claiming share and document the take-up gap, including the stated DC mechanism and MOOP coverage caveats.

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
Quiet
Clarity
Mostly clear
Newbie friendliness
48/100

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