Yeah, they seem to be doing ok in St Louis: http://sci-hub.tw/https://www.tandfonline.com/doi/abs/10.1080/08873631.2015.1005880 …
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Replying to @NoamJStein @HHH_Report and
USA immigration policy is quite meritocracy except for South America, so you can't really rely on it to estimate home country human capital so well. Better to aggregate data across European countries, all of which show below native results for Yugoslavians IIRC.
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Replying to @KirkegaardEmil @NoamJStein and
The US' refugee policies (pre-Trump at least) are not as selective as other legal immigration pathways. Look at how the Somalis, Bhutanese, and Iraqis (other refugee-descended populations) are doing in America. They're vetted for terror links, not much else.
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Replying to @HHH_Report @NoamJStein and
Emil O W Kirkegaard Retweeted Emil O W Kirkegaard
Emil O W Kirkegaard added,
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Replying to @KirkegaardEmil @NoamJStein and
That data is for *all* immigrants from those regions. It doesn't rebut my argument that refugee populations are not highly-selected. The Bosnian refugees would be outnumbered by "normal" East European migrants in the data. It would be the same for the Somalis in the Africa data
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Replying to @HHH_Report @KirkegaardEmil and
The best way to settle this would be if someone had collected educational attainment data on refugee populations prior to their entry into the USA. Then we could check if Bosnian-Americans were drawn from a selective pool like most immigrants to the US.
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Replying to @HHH_Report @NoamJStein and
You mean similar to Brain Drain dataset? I am trying to work with what can possibly be gotten here, not dreamy perfect datasets no one has. http://www.iab.de/en/daten/iab-brain-drain-data.aspx …
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Replying to @KirkegaardEmil @NoamJStein and
In the absence of perfect datasets, we can also look at media/ethnographic reports of populations in the US that mostly consist of recent refugees. IMO, these reports suggest that refugees in America are not highly-selected like other immigrants. E.g. http://www.ijhssnet.com/journals/Vol_4_No_11_1_September_2014/22.pdf …
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Replying to @HHH_Report @NoamJStein and
I don't trust media reports, but one can do some quantitative studies of some of them. Have you seen work by J Fuerst on US recent African immigrants? http://humanvarieties.org/2015/11/05/the-measured-proficiency-of-somali-americans/ … and http://humanvarieties.org/2015/10/28/using-surnames-to-assess-ethnic-aptitude/ … See also http://emilkirkegaard.dk/en/?p=5347
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Replying to @KirkegaardEmil @NoamJStein and
I've read many of his other posts on HV, but not those two. Thanks!
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These name based methods are clever and could easily be expanded to many areas. One can get name origins using e.g. http://behindthename.com/ . For names not in database, one can certainly build a highly accurate predictor based on the letter patterns in the names.
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Replying to @KirkegaardEmil @HHH_Report and
One can certainly also do this for every other ethnicity, including Jews, so it is one way to quantitatively study the JQ. I suggested using this on book titles/metadata before to test KMac model claims.
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