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Extract US Survey of Consumer Finances microdata
For consistency with pd.read_stata
. I think this uses columns
rather than usecols
from e.g. pd.read_csv
because it has to load all columns and then retain them, rather than load only the selected ones.
i.e. wgt * people_in_family
, e.g. for defining deciles with equal population.
The 2019 SCF estimates student debt to be $1.1 trillion, while FRBNY estimated $1.54 trillion as of 2020Q2.
Matt Bruenig showed in 2019 that the missing student debt is disproportionately among young people, attributing the discrepancy to the construction of SCF household units and young student debtors living with parents.
A simple way to impute the missing debt would be to multiply each household's student debt by an age-varying factor. But Bruenig suggests that the problem is on the extensive rather than intensive margin. Addressing this would be more complicated and we'd probably need to calibrate to some other source for the total number of people or households holding student debt.
cc @ngpsu22
And apply the weight
Now merged in pandas-dev/pandas#39432, due out by May 31 in pandas 1.3 https://github.com/pandas-dev/pandas/milestone/80
@MaxGhenis I have been compiling a list of figures that I would like to be able to quickly make. Here are all the ones I have collected so far.
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