Freakonomics the cost of interracial dating as an asian man dating ru friends link

It is obvious though that demographic segregation will shift away from a panmictic dynamic, and, I think marriage is frankly a higher bar than accepting the proposal for a date.

In other words, a cognitively & socially elite sample.

As you can see the demographics are unsurprising for an elite university.

One social science finding which I’ve wondered about over the past few years is the result that women care much more about the race of a potential mate than men do.

The fact that individuals tend to want to mate assortatively with those who share their characteristics is no surprise.

They found in preliminary analysis that though females are much more strongly biased, males exhibit the same pattern of determinants.

Since you can read the whole working paper I’ll restate in plain language what they find re: determinants. Here are variables which predict same race preference: High proportion wish ban on interracial marriage in a region Areas where people would not want to be neighbors with another race Areas where there are large populations of other races Here are variables which predict less same race preference: Older Attractiveness, 1 standard deviation increase in attractiveness results in a 4 point decrease in same-race preference Variables which had no effect: Shared interests Cultural variables (books read, etc.) Income There are some comments on the robustness of their findings (N for blacks isn’t very large, etc.), but generally little else in the conclusion.

First, let’s keep this in perspective, here are the correlations from the GSS for married individuals for several variables of note (I’ve filtered for whites here): Ethnicity – 0.40 Highest Degree – 0.55 Socioeconomic index – 0.32 I think it’s interesting to note that the variable which reveals meritocratic achievement has the highest correlation.

Ethnicity is something you’re born into, and socioeconomic index is a metric which derives from the milieu in which you were raised.

The authors note that 47% of matches were interracial, while random expectations would have predicted 53%.

Random mating in the general population would result in 44% of marriages being interracial, while only 4% are.

First, this is a sample of Columbia University graduate students! But note that they didn’t really extend their findings much with speculation.

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