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@juaristi22 juaristi22 commented Feb 18, 2025

Worked on the SCF_imputation notebook to identify predictors for wealth (imputed variable: "networth"). Focused on two different types of predictors: demographic and financial. Run quantile loss comparison for the two with financial predictors clearly outperforming demographic ones. Will continue testing and evaluating different combinations of predictors.

Fixes #173

@juaristi22 juaristi22 marked this pull request as draft February 18, 2025 12:38
@juaristi22 juaristi22 marked this pull request as ready for review February 18, 2025 12:39
@juaristi22 juaristi22 marked this pull request as draft February 18, 2025 12:41
@nikhilwoodruff nikhilwoodruff changed the title SCF Imputation Work in Progress Impute wealth from the SCF Feb 18, 2025
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Looking forward to discussing later!

changes:
changed:
- Worked on SCF imputation.
- Tried setting my environment and fix dependencies.
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We can leave this one out of the changelog.

- bump: minor
changes:
changed:
- Worked on SCF imputation.
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We usually try to stick to definitive 'what changed in the package?' changelog entries.

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I think we can add .ipynb_checkpoints to the .gitignore?

@MaxGhenis
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Could you file and then link an issue covering the scope of this?

Also wanted to make sure you saw PolicyEngine/policyengine-us#4257

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Fixed minor comments

@nikhilwoodruff nikhilwoodruff changed the title Impute wealth from the SCF Benchmark QRF against other methods Feb 18, 2025
@nikhilwoodruff nikhilwoodruff added the documentation Improvements or additions to documentation label Feb 18, 2025
@juaristi22 juaristi22 closed this Mar 4, 2025
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Add benchmarking study of QRF using the SCF

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