ubicenter/covid

Covid-19 research repository. Powers covid.ubicenter.org via Jupyter-Book.

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."

covid's Issues

Compare relative characteristics of June 2018 CPS to 2018 ASEC

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 may want to do a more involved reweighting to simulate policy effects using the 2018 ASEC.

First step is comparing the distribution of DURUNEMP.

As a subsequent step, bucket DURUNEMP and compare it to other important factors for determining poverty status: marital status, existence of kids in the household, and some income concept, either directly (though this is endogenous to FPUC) or average wages by OCC occupational code.

Why is expanding FPUC cheaper than initial FPUC?

FPUC runs for four months, while expanding FPUC runs for five months. The cost per month should be the same, since we're assuming each person's unemployment spell is randomly distributed over the potential period. So this seems like a bug.

Use Gini over per-person resources for measuring inequality

Push more of the data generation to .py files

Currently cluttering up the notebook. Using more functions would be cleaner.

Add trend by disability status

Using DIFFANY

Rename file from ui to fpuc

The current URL is http://covid.ubicenter.org/ui.html

ui could be confused with user interface, and we might pursue other unemployment insurance-related analyses relating to covid. fpuc is esoteric, but I think OK for a URL

Use Roboto font

Not sure if this is possible in jupyter-book but it'd be consistent with the charts

Plotly not loading

Needs extra plotly config

Fix disability numbers

They're currently the same as numbers for everyone

Adjust for inflation

Two reasons to adjust for inflation:

1. $600/week would have been lower in prior years, e.g. adjusted for inflation it'd be $502 in 2009, the first year of the analysis.
2. The nominal poverty gap increases, which misaligns with the decreasing poverty rate (though we might just show the % difference so may not be as important)

Use Covid+UBI Center icon

Adjust poverty gap for population

Add single chart with the delta between FPUC and universal payments for each group

Relative difference between the dark blue and gray line, with series for Everyone, Children, Black people, People with disabilities

This would cut down on the number of charts

Add Google Analytics tracking

Move content from ubicenter.org/covid19

Simulate different FPUC extension levels

e.g. GOP is proposing $200/mo

Chart idea:
x-axis: weekly $ amounts in extension (maybe just in $50 increments)
y-axis: Relative difference in poverty rate between FPUC extension and universal payments
...animation axis?: year

@ngpsu22 how's this sound?

Simulate FICA over their non-unemployed period

Using their imputed calendar weeks in unemployed state.