You saw the thread the other day casting doubt on this supposed evidence, right?
Part of an increasing string of evidence (along with ban the box and banning employers from checking credit history raising black unemployment) that trying to limit information available to employers and banks tends to hurt marginalized communitieshttps://twitter.com/chicagoboothrev/status/1086292327193284609 …
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Link? The BTB stuff has five or six studies behind it at this point.
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I could see public sector employment being different. Government agencies are much more likely than private employers to hire African-Americans in general. But the overall employment results look pretty robust to me.
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Read the second study, it looks at Wal-Mart in addition to public-sector employers (which are where BTB compliance is highest anyway).
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@jenniferdoleac 's study looking at 35 state-wide introductions of BTB over 20 years of CPS data is really super convincing to me http://jenniferdoleac.com/wp-content/uploads/2015/03/Doleac_Hansen_BanTheBox.pdf …pic.twitter.com/jAas8qy2HQ
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The author of the first study I linked to has pretty strong words to say about Doleac's study.
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afaik the latest Doleac paper was published after the one you linked to, and seems to include some robustness checks around the criticisms of public vs private BTB laws. In general it usually makes sense to trust a CPS study over an NYLS study.
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I'm absolutely stumped for the mechanism though. Hiring becomes more subjective, therefore more room for bias?
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Yup. Having access to the information to contradict their biases turns out to be important for a subset.
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The linked to paper (which conveniently doesn't have anything to do with race or felon history) makes it pretty clear this is a more fundamental thing than employers or banks having irrational biaseshttps://twitter.com/SethDZimmerman/status/1047153254407315457 …
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Basically at a high level, most lower-SES people are disproportionately likely to have been felons or have defaulted, but the vast majority of low-SES people have never defaulted or committed a felony, so almost tautologically you end up with more losers than winners.
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Basically, if you can't judge someone on individual characteristics you're going to judge them on group characteristics
End of conversation
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the typical shift manager of low-wage or even medium-wage workers is pretty racist, roughly?
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One thing I like about this paper is that it side-steps a lot of the traditional stuff about race because it's in Chile and focuses specifically on borrowing costs, which are mostly algorithmic.
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How does ban the box hurt? Serious question
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Thanks. Twitter will use this to make your timeline better. UndoUndo
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The law of unintended consequences never fails.
Thanks. Twitter will use this to make your timeline better. UndoUndo
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Cc
@GregCasar Great work, Greg.Thanks. Twitter will use this to make your timeline better. UndoUndo
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