pslmodels / scf Goto Github PK

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

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.

@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.

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