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For example, there are two ways to repeal the NJ CTC in the app:
1. [Set all amounts to zero in the scale parameter that defines the amount based on income](https://policyengine.org/us/policy?focus=p…
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The remaining sets we need are:
Christian should have already:
- [ ] Fuel poverty
- [ ] Household income
- [ ] Care leavers
- [ ] UC and JSA
Will require sourcing and standardising by Christian or L…
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Plot concept:
Standard distributional tables demonstrate how tax reforms will affect the distribution of the tax burden across income groups. Another interesting question is how tax reform will affe…
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We may need to choose only the most common Medi-Cal eligibility routes, as it seems like there are [very many](https://ca.db101.org/ca/programs/health_coverage/medi_cal/program2.htm)
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Select sensible metrics relating to education. Anyone with domain knowledge (assessment, spending, policy, etc.), please chime in!
Off-the-cuff thoughts about possible categories/buckets:
- Educat…
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@binnympaul not sure if this is the right place to post this but i'm seeing strange differences in my outputs when using multiprocessing.
I've setup a run that only processes 2 SA3s (Australian bu…
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I think there are too many variables in the Data Observatory. This makes searching, organizing, and navigating the measurements nearly impossible with the systems we have now (the Catalog and the Buil…
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Dear all,
For my research I want to evaluate a new semantic coherence measure with the ones available in Palmetto, especially C_V and C_A. I'm trying to replicate some results described in your pap…
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This seeks to answer the question, *does today's unemployed population resemble 2018's, just scaled up, or do they differ on important dimensions for distributional analysis?* If it's the latter, we m…
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**Name**
Rihards
**Describe the problem you'd like to solve**
Whilst impacting on every child in the country, COVID-19is likely to have a particularly pernicious impact on the est…