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The take-away from this is that - several (maybe most) state universities in the US publish the salaries of their professors. Some state universities publish c

by jknz 7y ago

The take-away from this is that - several (maybe most) state universities in the US publish the salaries of their professors. Some state universities publish comprehensive (creepy?) granular data, e.g., a spreadsheet with each row displaying professor name, professor salary, rank, department. - aggregated statistics (across all fields, all ranks, tenure-track/non-tenure-track, etc) are useless because of the variance. If you are getting an offer from a professor position, you can get very precise salary expectations by looking at this granular data. For instance, lookup the salary of professors in the hiring department joined a year or two before your offer. GlassDoor information pales in comparison.

chris11 7y ago
> several (maybe most) state universities in the US publish the salaries of their professors. I'd expand this to state governments. It depends on the state, but for some states you can find a lot of detailed salary information.
joshuamorton 7y ago
> several (maybe most) state universities in the US publish the salaries of their professors. Some state universities publish comprehensive (creepy?) granular data, e.g., a spreadsheet with each row displaying professor name, professor salary, rank, department. My understanding is this is practically a requirement for government employees, so if the university is public, this data must be provided. Similarly, you can look up the salary/pay for most other government employees, although they're usually strict to scales.
klank 7y ago
> aggregated statistics (across all fields, all ranks, tenure-track/non-tenure-track, etc) are useless because of the variance Could you expound on that? How does the variance in underlying data cause aggregated statistics to lose usefulness?
- jknz 7y ago
  Say you receive an offer for a specific position in a specific department and hope to negotiate a better salary. Aggregated data averaged across all fields, all universities and all ranks is not useful. However, the salaries of recent hires, for the same specific position, in the same field at comparable universities will give objective data (and possibly leverage) to negotiate your offer.

by jknz 7y ago

chris11 7y ago

> several (maybe most) state universities in the US publish the salaries of their professors. I'd expand this to state governments. It depends on the state, but for some states you can find a lot of detailed salary information.

joshuamorton 7y ago

> several (maybe most) state universities in the US publish the salaries of their professors. Some state universities publish comprehensive (creepy?) granular data, e.g., a spreadsheet with each row displaying professor name, professor salary, rank, department. My understanding is this is practically a requirement for government employees, so if the university is public, this data must be provided. Similarly, you can look up the salary/pay for most other government employees, although they're usually strict to scales.

klank 7y ago

> aggregated statistics (across all fields, all ranks, tenure-track/non-tenure-track, etc) are useless because of the variance Could you expound on that? How does the variance in underlying data cause aggregated statistics to lose usefulness?

jknz 7y ago
Say you receive an offer for a specific position in a specific department and hope to negotiate a better salary. Aggregated data averaged across all fields, all universities and all ranks is not useful. However, the salaries of recent hires, for the same specific position, in the same field at comparable universities will give objective data (and possibly leverage) to negotiate your offer.