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Surnames and a Theory of Social Mobility - University of Chicago ...

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Borjas interprets this as the result <strong>of</strong> “ethnic capital” externalities. Sons from<br />

ethnic groups with high average education levels do better than would be predicted<br />

from the education <strong>of</strong> the father alone, because <strong>of</strong> spillovers from the education <strong>of</strong><br />

others in the community. But again our interpretation would be that there is likely<br />

little or no externality. It is just that information on the country <strong>of</strong> origin allows a<br />

better prediction <strong>of</strong> the likely “true” underlying status <strong>of</strong> families, <strong>and</strong> so a better<br />

prediction <strong>of</strong> the son’s outcomes. That is why the same effect appears below for the<br />

wealthy <strong>of</strong> 1923-4 in the USA, who span many ethnic communities.<br />

This simple underst<strong>and</strong>ing <strong>of</strong> social mobility can resolve more than the puzzles<br />

<strong>of</strong> group status persistence. For it can also explain the connection detailed in figure<br />

1 between income mobility rates across countries <strong>and</strong> the inequality <strong>of</strong> income. The<br />

greater are the r<strong>and</strong>om components in determining measures <strong>of</strong> status such as<br />

income, relative to the systematic elements stemming from underlying status, the<br />

greater will be the degree <strong>of</strong> mismatch between such partial one generation estimates<br />

<strong>of</strong> regression to the mean, <strong>and</strong> the underlying regression <strong>of</strong> fundamental social<br />

status.<br />

The USA, for example, has much greater inequality in earnings than does<br />

Sweden. Figure 4 shows, for example, the salaries in $2010 for some comparable<br />

high <strong>and</strong> low status occupations in Sweden <strong>and</strong> the USA. A US doctor earns six<br />

times the wage <strong>of</strong> a bus driver, while in Sweden the ratio is only 2.3 times. A US<br />

pr<strong>of</strong>essor earns sixty percent more than a bus driver, in Sweden it is only forty<br />

percent more.<br />

We can represent this by modifying equation (3) above to<br />

y t = ψx t + u t<br />

where the ψ linking social competence to earnings is higher in the US than in<br />

Sweden. ψ in the US could be as much as twice the ψ in Sweden. This implies that<br />

the proportion <strong>of</strong> variation in earnings in the USA that is explained just by r<strong>and</strong>om<br />

factors is lower. This will mean that the downwards bias in estimates <strong>of</strong> social<br />

mobility coming from earnings will be lower in the US. Thus the US will appear,<br />

because <strong>of</strong> greater wage inequalities, as more immobile across generations than<br />

Sweden. Just the greater wage inequality in the US can easily double the measured<br />

intergenerational correlation if the true intergenerational correlation <strong>of</strong> status is 0.75.

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