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Well, let's figure out such an experiment.

Compare areas with VC funding and areas without VC funding. The bigger the barrier, the better the data. I think it doesn't do to compare American cities as the barrier is so low. It would probably have to be culturally and economically similar countries, one with lots of VC funding, another without.

I would count the number of unicorns. Do unicorns remove or add inequality? I don't know, but whatever it is, it's the multiplier. Unicorns tend to pay in the top 5-20% of salaries for engineers, and still the top 50% or so for ops and gig workers. There's also a lot of businesses created to handle infra, whether it's logistics or software.

Gini data seems to be highly lacking. Ideally, you'd measure around the VC-sponsored areas and compare it to non-VC covered areas. But this is also difficult because companies like Stripe affect things far beyond their HQ. That said, country Gini data is often missing, and city data even rarer.




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