my workstation is pulling features from 23M images before I throw the raw data into the sun that will run for a few days longer, sopic.twitter.com/WqSomYHktE
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my workstation is pulling features from 23M images before I throw the raw data into the sun that will run for a few days longer, sopic.twitter.com/WqSomYHktE
once the Yelp thing is off my plate, it's back to cleaning and polishing my Backpage daily utilization dataset, running 2013 through 2016
objective is to estimate the effect of police raids, especially Operation Cross Country, on market participation. H0 looking strong atm.
hope to punch up results of a first pass this weekend, as the analysis is a pretty straightforward fixed effects panel exercise at its heart
once that's to my advisors/coauthors, next project is investigating effect of 2014 MyRedBook shutdown on wages of CA sex workers.
this ends up being a bit arcane; roughly, one can use destruction of reviews to characterize discrimination (racial or other) by clients.
this is likely to take a couple of weeks as there's a lot of backend work needed to build the analysis dataset.
That's about it! I'll be sure to post any fun stylized facts and data visualization that I grind out along the way. Thanks for reading!
cool!! Have u thought about seeing whether other economic indicators predict back page listings?
oh man. I guess I have a legit panel huh! I had an ACA paper queued up but decided it was too obnoxious . . . maybe should revisit
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