ubicenter/local-child-allowance

Local effects of child allowances

ubi-center

Generates data for UBI Center's Plan Explorer tool and visualizations.

Installation

Install with:

pip install git+git://github.com/UBICenter/ubi-center.git

Questions

Contact the maintainer, Max Ghenis ([email protected]).

Citation

You may cite the source of your analysis as "ubicenter release #.#.#, author's calculations."

local-child-allowance's Issues

Add Counties

Add the impact of the reform by county

Add mapping from PUMA to Senate and Assembly district

Add three raw files:

• data/raw/[shapefiles for puma, assembly, and senate]

And two files for processing:

• py/make_puma_mapping.py: Python script
• data/puma_mapping.csv: File with puma, assembly_district, senate_district, produced from make_puma_mapping.py

For California for now since others require separate assembly and senate files.

Unknown strings in mapping file district columns

Somehow the centroid match is generating errors for some of the districts, and providing text instead of a number. It is not immediately clear how this is happening, but it may simply be the result of the PUMA with centroid off the coast.

Add data/raw/README.md

With links to the sources of those files (shapefiles and ACS-SPM data)

Create map visualization for assembly and senate district

Avoid dropping Arkansas records

Add 2017 summary as a check to the Fox paper

Add Congressional District to block-level dataset

I asked about this on StackExchange since I can't find it.

Create block-level dataset to underlie analyses

Since state legislative districts are built from Census blocks, we should build a dataset at the block level that we can then aggregate as needed. It should have these columns:

• Block
• Block group
• Tract
• Upper state legislative district
• Lower state legislative district
• PUMA
• State
• Population*

* Population can probably be mapped from the 2010 Census, which has block group level population; this can then be allocated equally across blocks in a block group.

Add California senate and assembly district cuts for poverty estimate notebook

Depends on #1 and #2.

Add script to ingest summarized baseline/reform data and produce plotly charts

Currently @nmrodelo has some matplotlib charts, we'll want plotly so we can have hovercards based on @ben-boehlert's outputs

Add Python notebook with baseline and $100/mo child poverty estimates

Nationwide to start

Get latest ACS population by census tract

censusdata package should do this

Avoid dropping Nebraska records

Since it's unicameral.

Should also test that records don't get dropped in general.