Simple partisanship ratios don't tell the whole story though, you would need to weight by reaearch funding and also academic reach measured by h-index or something similar, it's just a super weak argument you've made
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Replying to @drewg__ @mattyglesias
Just pick, say, top 25 departments. They get plenty of research funding and have great h-indices and they're, by and large, heavily liberal.
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Replying to @SameOldTrain @mattyglesias
Even looking at the department wouldnt be granular enough, each prof has differing views and influence, and this is before you even start to measure impact on policy outcomes. For instance, a republican staff economist like
@AlanMCole has lots of reach but isn't in a uni setting1 reply 0 retweets 1 like -
Given the magnitude of the splits (let's take 15:1) a typical conservative professor would need to have 15x greater funding and 15x more citations than an average liberal professor just to make the weighted split 1:1. It's not remotely plausible.
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Milton Friedman is still highly cited and he's not even alive, do you count him? What about GMU econ which is a known feeder into GOP policy circles? My point here is that quantifying "influence" is just a nonstarter as an empirical project, you only have proxy metrics at best
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