PolicyEngine / PolicyEngine/microcosm
Characteristic-varying take-up priors: EITC by qualifying-child count, SSI by age band
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- Dominant language
- Python
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Description
Max, 7/21, confirming the #469 direction: take-up is seeded Bernoulli from documented priors, and priors should vary by characteristics where the evidence supports it — the canonical case being EITC take-up by qualifying-child count (childless take-up is far below with-children take-up in the admin literature), and SSI by age band (the #470-class SSA age tables give the denominators' anchors). Pattern is program-generic: a prior table keyed by observable characteristics, documented with sources in the stage spec, seeded draws against it, and the corresponding registry count targets (EITC child-count decomposition targets already exist; SSI age-band targets arrive with the SSA age facts issue) reporting the post-calibration miss. No count-matching, no per-program assignment machinery — priors and targets only.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Read the #469 direction and the #470 SSA age tables first, then locate the stage spec, registry count targets, and existing EITC child-count decomposition targets. Done means characteristic-keyed priors are documented and seeded draws report post-calibration misses for EITC and SSI without count-matching or per-program assignment machinery.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 48/100