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covid19's Introduction

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."

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covid19's Issues

Add more detail to methodology section

Good feedback:

The only additional thing I would like to see more detailed in the document is the methodology. I mean, I think if you explain a little bit more what is a binary search algorithm or put the main relevant equations there, the document will be more self-contained and easy to understand.

Use longitudinal data to estimate the (mis)targeting from means-testing on 2018/2019 income

Means-tested Covid-19 cash transfer proposals are based on 2018 or 2019 income, e.g. the GOP Senate plan.

Start with a transition matrix from eligibility to ineligibility, using either the ASEC (50% of households in any given ASEC are also surveyed the prior year) or the SIPP (longitudinal for up to 4 years, but less data support e.g. from IPUMS; use TPTOTINC for total income).

Then compare the means-tested proposals to UBIs in terms of poverty impact per dollar.

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