4 ms·

>"The government generated the numbers by matching individuals’ student-loan applications to their subsequent tax returns, making it possible to compare pupils’

>"The government generated the numbers by matching individuals’ student-loan applications to their subsequent tax returns, making it possible to compare pupils’ qualifications and demographic characteristics when they entered college with their salaries ten years later." So the dataset excludes students who do not apply for loans? (i.e., this analysis penalizes schools who admit the folks most likely to make lots of money, and the schools that have the lowest expected student contribution.) >"...based on a simple, if debatable, premise: the economic value of a university is equal to the gap between how much money its graduates earn, and how much they might have made had they studied elsewhere." If we are only to look at financial incentives, a more reasonable analysis would be to compare the expected future earnings _distribution_ as opposed to just a central tendency statistic like the median.

dragonwriter 11y ago
> So the dataset excludes students who do not apply for loans? (i.e., this analysis penalizes schools who admit the folks most likely to make lots of money, and the schools that have the lowest expected student contribution.) It penalizes (or at a minimum, undersamples in a nonrepresentative way) schools with their own, non-loan, aid programs. This probably very badly hurts schools like Caltech, since it means that there (unless Caltech no longer has the essentially full-coverage need-based aid they had when I went -- unsuccessfully, I graduated elsewhere) they are only counting people who are making the unwise choice of taking loans when they have no need given their current resources. That this will skew the data badly should be obvious.
- selimthegrim 11y ago
  Axlines were suspended some time ago, I think they are still proactive with need based aid but I think with their tuition skyrocketing they can't possibly be as gracious as they once were.

dragonwriter 11y ago

> So the dataset excludes students who do not apply for loans? (i.e., this analysis penalizes schools who admit the folks most likely to make lots of money, and the schools that have the lowest expected student contribution.) It penalizes (or at a minimum, undersamples in a nonrepresentative way) schools with their own, non-loan, aid programs. This probably very badly hurts schools like Caltech, since it means that there (unless Caltech no longer has the essentially full-coverage need-based aid they had when I went -- unsuccessfully, I graduated elsewhere) they are only counting people who are making the unwise choice of taking loans when they have no need given their current resources. That this will skew the data badly should be obvious.

selimthegrim 11y ago
Axlines were suspended some time ago, I think they are still proactive with need based aid but I think with their tuition skyrocketing they can't possibly be as gracious as they once were.