ubicenter / covid Goto Github PK
View Code? Open in Web Editor NEWCovid-19 research repository. Powers covid.ubicenter.org via Jupyter-Book.
Home Page: http://covid.ubicenter.org
License: MIT License
Covid-19 research repository. Powers covid.ubicenter.org via Jupyter-Book.
Home Page: http://covid.ubicenter.org
License: MIT License
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
Not sure if this is possible in jupyter-book but it'd be consistent with the charts
Two reasons to adjust for inflation:
Currently cluttering up the notebook. Using more functions would be cleaner.
Needs extra plotly config
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.
Using their imputed calendar weeks in unemployed state.
Using DIFFANY
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?
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
They're currently the same as numbers for everyone
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