PolicyEngine / PolicyEngine/imputation-paper
Carve-out: harness formalization moves to the popdgp methods paper; this paper becomes the fill dossier + first application
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- Python
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Description
Decision
The portfolio review (2026-07-03) promotes the population-view harness from a section of this paper to its own methods paper + package: popdgp (Survey Methodology / JOS target). This paper stays the fill operator's dossier and the harness's first application.
Changes here
- Trim the harness formalization (methodology §"The population-view harness") to a working summary + citation of the popdgp paper (in prep); keep everything needed to read the results tables.
- Keep all experiments and results as-is — both harness profiles, the tail block, floors. The application is this paper's evidence; only the framework's general formalization moves.
- Code extraction (coordinate with popdgp's extraction issue):
experiments/views.pyand the joint/tail metrics migrate to the popdgp package; this repo then depends on popdgp (pinned) and keeps only task-specific wiring. Behavior-preserving — regenerated tables must be bit-identical. - Background §"Evaluating imputed files": the formal-ancestry paragraph (Lohr–Raghunathan, Rässler, proper scoring, PRDC) largely moves to the popdgp paper; keep two sentences + citation.
- Update the contributions list: contribution 2 becomes "first application of the population-view harness (popdgp)" rather than the framework itself.
Sequencing: this paper submits first (IJM); the popdgp paper cites it as the first application — the standard application/methods split, no cannibalization.
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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
Start by reading the methodology section “The population-view harness,” the “Evaluating imputed files” background, and experiments/views.py. Coordinate with popdgp’s extraction issue, then trim the formalization, update the contributions list, preserve task-specific wiring, and verify regenerated tables are bit-identical.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data, documentation
- Issue type
- Refactor
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Clearly specified
- Newbie friendliness
- 30/100