nhaliday + assortative-mating   29

The Politics of Mate Choice
TABLE 1 Spousal Concordance on 16 Traits Pearson’s r (n)

Church attendance .714 (4950)
W-P Index (28 items) .647 (3984)
Drinking frequency .599 (4984)
Political party support .596 (4547)
Education .498 (4957)
Height .227 (4964)
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december 2017 by nhaliday
Reconsidering the Heritability of Intelligence in Adulthood: Taking Assortative Mating and Cultural Transmission into Account
Heritability estimates of general intelligence in adulthood generally range from 75 to 85%, with all heritability due to additive genetic influences, while genetic dominance and shared environmental factors are absent, or too small to be detected. These estimates are derived from studies based on the classical twin design and are based on the assumption of random mating. Yet, considerable positive assortative mating has been reported for general intelligence. Unmodeled assortative mating may lead to biased estimates of the relative magnitude of genetic and environmental factors.


Under the preferred phenotypic assortment model, the variance of intelligence in adulthood was not only due to non-shared environmental (18%) and additive genetic factors (44%) but also to non-additive genetic factors (27%) and phenotypic assortment (11%).This non-additive nature of genetic influences on intelligence needs to be accommodated in future GWAS studies for intelligence.
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november 2017 by nhaliday
1 Genetics and Crime
The broader construct of antisocial behavior – which includes criminal offending, as well as aggression – also shows substantial genetic influence. In a meta-analysis combining effect sizes in 51 twin and adoption studies, Rhee and Waldman (2002) reported a heritability estimate of 41 per cent, with the remaining 59 per cent of variance being due to environmental factors. Interestingly, when comparing results for various definitions of antisocial behavior, only criminal offending appeared to be influenced by both additive genetic effects and non-additive genetic effects – possibly due to genetic dominance and epistatic interactions between genes – based on a pattern of results whereby, on average, identical (monozygotic) twin correlations are more than twice the value of fraternal (dizygotic) twin correlations, and also that biological parent–offspring correlations are less than fraternal twin correlations. Such non-additive genetic effects could arise if one or more high risk alleles act in a recessive fashion, or if certain alleles at one locus affect gene expression at other loci (epistasis).

One intriguing aspect of the literature on genetics and crime is that the strong and consistent genetic influence seen for property offending does not hold true for violent criminal convictions. None of the major adoption studies in Scandinavia or the United States found any elevated risk for violent convictions as a function of either biological or adoptive parent criminal offending, although one early twin study did find greater identical (monozygotic) than fraternal (dizygotic) concordance for violent convictions (see Cloninger and Gottesman, 1987). This pattern of twin, but not parent-offspring, similarity for violent criminal behavior suggests the possibility of non-additive genetic effects due to dominance or epistasis, which would result in increased resemblance for siblings (and twins), but not for parents and offspring. Thus, there may be genetic risk for violent crimes such as murder and rape, which may stem from rare recessive genes, or specific combinations of alleles that do not appear in studies of vertical transmission across generations.

A Swedish national twin study of criminal behavior and its violent, white-collar and property subtypes: https://www.cambridge.org/core/journals/psychological-medicine/article/a-swedish-national-twin-study-of-criminal-behavior-and-its-violent-white-collar-and-property-subtypes/0D9A88185ED0FD5525A5EBD5D2EBA117
For all criminal convictions, heritability was estimated at around 45% in both sexes, with the shared environment accounting for 18% of the variance in liability in females and 27% in males. The correlation of these risk factors across sexes was estimated at +0.63. In men, the magnitudes of genetic and environmental influence were similar in the three criminal conviction subtypes. However, for violent and white-collar convictions, nearly half and one-third of the genetic effects were respectively unique to that criminal subtype. About half of the familial environmental effects were unique to property convictions.

Heritability, Assortative Mating and Gender Differences in Violent Crime: Results from a Total Population Sample Using Twin, Adoption, and Sibling Models: https://link.springer.com/article/10.1007/s10519-011-9483-0
Using 36k twins, violent crime was moderately heritable (~ 55%) w/ 13% shared environment influence. Using 1.5 mil siblings, heritability was higher for males, & family environment higher for females. Moderate assortative mating for violent crime (r = .4).

The impact of neighbourhood deprivation on adolescent violent criminality and substance misuse: A longitudinal, quasi-experimental study of the total Swedish population: https://academic.oup.com/ije/article/42/4/1057/656274/The-impact-of-neighbourhood-deprivation-on
In the crude model, an increase of 1 SD in neighbourhood deprivation was associated with a 57% increase in the odds of being convicted of a violent crime (95% CI 52%–63%). The effect was greatly attenuated when adjustment was made for a number of observed confounders (OR 1.09, 95% CI 1.06–1.11). When we additionally adjusted for unobserved familial confounders, the effect was no longer present (OR 0.96, 95% CI 0.84–1.10). Similar results were observed for substance misuse. The results were not due to poor variability either between neighbourhoods or within families.

Childhood family income, adolescent violent criminality and substance misuse: quasi-experimental total population study: http://bjp.rcpsych.org/content/early/2014/08/14/bjp.bp.113.136200
What did surprise him was that when he looked at families which had started poor and got richer, the younger children—those born into relative affluence—were just as likely to misbehave when they were teenagers as their elder siblings had been. Family income was not, per se, the determining factor.

Indicators of domestic/intimate partner violence are structured by genetic and nonshared environmental influences: https://www.researchgate.net/publication/233737219_Indicators_of_domesticintimate_partner_violence_are_structured_by_genetic_and_nonshared_environmental_influences
Three indicators of IPV were measured and genetic factors accounted for 24% of the variance in hitting one's partner, 54% of the variance in injuring one's partner, and 51% of the variance in forcing sexual activity on one's partner. The shared environment explained none of the variance across all three indicators and the nonshared environment explained the remainder of the variance.
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october 2017 by nhaliday
Credit Scores and Committed Relationships
We document substantial positive assortative matching with respect to credit scores, even when controlling for other socioeconomic and demographic characteristics. As a result, individual-level differences in access to credit are largely preserved at the household level. Moreover, we find that the couples’ average level of and the match quality in credit scores, measured at the time of relationship formation, are highly predictive of subsequent separations.
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august 2017 by nhaliday
Free to Leave? A Welfare Analysis of Divorce Regimes - American Economic Association
Calibrating the model to match key moments for the 1940 cohort and conditioning solely on gender, our ex ante welfare analysis finds that women fare better under mutual consent whereas men prefer a unilateral system. Conditioning as well on initial productivity (expected income), we find that the top three quintiles of men and the top two quintiles of women prefer unilateral divorce.

The impact of divorce laws on the equilibrium in the marriage market: http://www.anamreynoso.com/assets/AR_JMP_latest.pdf
Adoption of no-fault divorce -> more assortative mating + more permanent singlehood, especially among educated women

Losers and Winners: The Financial Consequences of Separation and Divorce for Men: http://www.jstor.org/stable/2657417
Contrary to conventional thinking, the majority of partnered men in the United States lose economic status when their unions dissolve. Using data from the Panel Study of Income Dynamics, this analysis shows that for most men the primary source of economic decline after union dissolution is their inability to fully compensate for the loss of their partner's income. A secondary source of economic decline is an increase in compulsory and voluntary support payments. Welfare state tax and transfer mechanisms have a much smaller overall impact on changes in men's living standards following separation. Although most men experience a decline in living standards following union dissolution, men's outcomes are heterogeneous, and the minority of men who relied on their partners for less than one-fifth of pre-dissolution income typically gain from separation and divorce. The data show a clear trend toward greater economic interdependence in American partnerships, and this trend appears to increase the proportion of men who suffer a reduced standard of living following separation.
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june 2017 by nhaliday
The Dream Hoarders: How America's Top 20 Percent Perpetuates Inequality | Boston Review
this is ominous
Has the Democratic Party Gotten Too Rich for Its Own Good: https://www.nytimes.com/2017/06/01/opinion/democratic-party-rich-thomas-edsall.html
Saving the American Dream: https://www.commentarymagazine.com/articles/saving-american-dream/
It’s not just about the people at the top
- Amy Wax

ow can we arrange things so that more people with different levels of affluence can prosper and live meaningful lives? How can we make the advantages that the rich now “hoard” more widely available, thus reducing their incentive to separate themselves? Although these goals are elusive and difficult for any society to attain, ours can probably do better. But the changes required would be far bolder than the tepid ones Reeves proposes, which do little to disrupt current “structures of privilege.” And more dramatic reforms might also advance the causes he holds dear, including enhancing mobility and reducing inequality.
So here goes my laundry list.

Let’s start with Reeves’s proposal to ban legacy admissions. Not only would this increase fairness, but it would discourage private contributions. This would, in turn, promote the worthy goal of defunding the Ivies and other selective universities, which have become counterproductive sites of snobbery, dogma, and progressive indoctrination. Save for the kind of scientific research that benefits everyone, they don’t need any more money and could do with much less.

But we shouldn’t stop there. As suggested by the late Justice Antonin Scalia during oral argument in the Grutter affirmative-action case, selective admissions should simply be abolished and students admitted by lottery, except for math and hard sciences, for which a simple test can determine entrance. The steep pyramid of colleges, in which the affluent crowd monopolizes prestigious institutions, will be immediately flattened, and the need for affirmative action would disappear. In this respect, our system would simply mimic those in northern European countries like Holland and Germany, where enrolling in the university nearest to home is the usual practice and there is no clear elite pecking order. And since fewer than a fifth of colleges take less than half their applicants, with only a tiny group much more competitive, this change would have no effect on most institutions of higher learning.

While we’re at it, we should give up on the fetish of college for all by significantly reducing the number of students attending four-year academic programs to no more than 10 to 15 percent of high-school graduates. The government should dial back on student loans and grants to universities, except for scientific research.

That step, which would reduce the burden of educational debt, is not as drastic as it appears, since many students who start college end up dropping out and only 25 percent of high-school graduates manage to obtain a four-year degree. At the same time, we should step up the effort to recruit highly qualified low-income students to the most selective colleges across the country—something that Caroline Hoxby’s research tells us is not currently taking place. Finally, we should copy some of Western Europe’s most successful economies by tracking more students into job-related nonacademic programs, and by redirecting the private and public money that now goes to universities to creating and maintaining such programs.

More broadly, the amounts freed up by defunding elite colleges and private schools should be used to help average Americans. The Gates Foundation and other rich private philanthropies should stop chasing after educational schemes of dubious value and devote their billions to improving community colleges, supporting the people who attend them, and dramatically expanding vocational programs.

Although Reeves does mention vocational education, he does so only in passing. That option should receive renewed emphasis. And private donors should provide grants to thousands of students of modest means, including stipends for rent and living expenses, to enable them to do the summer internships that Reeves claims are now so important to getting ahead.
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june 2017 by nhaliday
Assortive mating and income inequality | West Hunter
More than in the past, we have doctors marrying other doctors, rather than nurses, basically because of an increase in assortative mating for education. Ceteris paribus, this would tend to cause greater income equality among families. Is it the main driver of increasing income inequality?

Not at all. Most of the increase over the last 30 years has been among business executives and people working in finance. Since 1979, 58% of the expansion of income of the top 1% of households has this origin. For the top 0.1% of households, it’s been 67%.


Now I’m about to say something a little dangerous – so get your nitroglycerin pills ready.

Maybe those finance guys and CEOs are delivering enormously more value than they did in the 1950s!

For those remaining readers that haven’t died laughing, increased assortative mating probably has contributed to income inequality. Just not very much. Changes in the tax code, outsourcing, automation, smothering the board of directors in cream, and inattentive stockholders all matter more.

capital gains: https://westhunt.wordpress.com/2014/03/21/assortive-mating-and-income-inequality/#comment-24318
Educational Homogamy and Assortative Mating Have Not Increased: http://sci-hub.cc/http://www.nber.org/papers/w22927.pdf
1960-2010, so all post WW2
Highly educated women partner more often “downwards” and medium educated women partner less often “upwards”
The new assortative mating (phenotypical, perhaps no change in genotypical assortative mating) due to women outnumbering men at university
If this means less genotypic assortative mating, then BAD NEWS: the smart fraction will shrink, and #decline will accelerate
Counterrevolutionary and reactionary elements warned it was a mistake to debauch higher education by over-expansion. Maybe they were right?
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may 2017 by nhaliday
Reversal of the Gender Gap in Education, Motherhood, and Women as Main Earners in Europe | European Sociological Review | Oxford Academic
The Reversal of the Gender Gap in Education and
Female Breadwinners in Europe: http://www.familiesandsocieties.eu/wp-content/uploads/2015/01/WP26KlesmentVanBavel.pdf

A Record Share of Men Are “Marrying Up” Educationally: https://ifstudies.org/blog/a-record-share-of-men-are-marrying-up-educationally
Even though overall, wives have more education than their spouses today, men are still the primary provider in a majority of marriages. In 2015, more than 7-in-10 married men (73%) had a higher income than their spouse, although the share was down from 91% in 1960. During the same period, the share of married women who out-earned their spouses rose from 6% to 25%.

A Gender Reversal On Career Aspirations: http://www.pewsocialtrends.org/2012/04/19/a-gender-reversal-on-career-aspirations/
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april 2017 by nhaliday
Interview Greg Cochran by Future Strategist

- IQ enhancement (somewhat apprehensive, wonder why?)
- ~20 years to CRISPR enhancement (very ballpark)
- cloning as an alternative strategy
- environmental effects on IQ, what matters (iodine, getting hit in the head), what doesn't (schools, etc.), and toss-ups (childhood/embryonic near-starvation, disease besides direct CNS-affecting ones [!])
- malnutrition did cause more schizophrenia in Netherlands (WW2) and China (Great Leap Forward) though
- story about New Mexico schools and his children (mostly grad students in physics now)
- clever sillies, weird geniuses, and clueless elites
- life-extension and accidents, half-life ~ a few hundred years for a typical American
- Pinker on Harvard faculty adoptions (always Chinese girls)
- parabiosis, organ harvesting
- Chicago economics talk
- Catholic Church, cousin marriage, and the rise of the West
- Gregory Clark and Farewell to Alms
- retinoblastoma cancer, mutational load, and how to deal w/ it ("something will turn up")
- Tularemia and Stalingrad (ex-Soviet scientist literally mentioned his father doing it)
- germ warfare, nuclear weapons, and testing each
- poison gas, Haber, nerve gas, terrorists, Japan, Syria, and Turkey
- nukes at https://en.wikipedia.org/wiki/Incirlik_Air_Base
- IQ of ancient Greeks
- history of China and the Mongols, cloning Genghis Khan
- Alexander the Great vs. Napoleon, Russian army being late for meetup w/ Austrians
- the reason why to go into Iraq: to find and clone Genghis Khan!
- efficacy of torture
- monogamy, polygamy, and infidelity, the Aboriginal system (reverse aging wives)
- education and twin studies
- errors: passing white, female infanticide, interdisciplinary social science/economic imperialism, the slavery and salt story
- Jewish optimism about environmental interventions, Rabbi didn't want people to know, Israelis don't want people to know about group differences between Ashkenazim and other groups in Israel
- NASA spewing crap on extraterrestrial life (eg, thermodynamic gradient too weak for life in oceans of ice moons)
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march 2017 by nhaliday
The genetics of politics: discovery, challenges, and progress
Figure 1. Summary of relative genetic and environmental influences on political traits.

- heritability increases discontinuously on leaving home
- pretty big range of heritability for different particular traits (party identification is lowest w/ largest shared environment by far)
- overall ideology quite highly heritable
- social trust is surprisingly highly compared other measurements I've seen...
- ethnocentrism quite low (sample-dependent?)
- authoritarianism and traditionalism quite high
- voter turnout quite high

Genes, psychological traits and civic engagement: http://rstb.royalsocietypublishing.org/content/370/1683/20150015
We show an underlying genetic contribution to an index of civic engagement (0.41), as well as for the individual acts of engagement of volunteering for community or public service activities (0.33), regularly contributing to charitable causes (0.28) and voting in elections (0.27). There are closer genetic relationships between donating and the other two activities; volunteering and voting are not genetically correlated. Further, we show that most of the correlation between civic engagement and both positive emotionality and verbal IQ can be attributed to genes that affect both traits.

Are Political Orientations Genetically Transmitted?: http://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1006&context=poliscifacpub
TABLE 1. Genetic and Environmental Influences on Political Attitudes: The 28 Individual Wilson–Patterson Items

The origins of party identification and its relationship to political orientations: http://sci-hub.tw/http://www.sciencedirect.com/science/article/pii/S0191886915002470

All models showed a good overall fit (see Table 3). The data indicate that party identification is substantially heritable, with about 50% of the variation in PID attributable to additive genetic effects. Moreover, the results indicate that the non-genetic influences on party identification stem primarily from unique environmental factors rather than shared ones such as growing up in the same family. This too is not consistent with the Michigan model.

Table 3 also indicates that genetic influences explained about 50% of the variance in liberalism–conservatism. This estimate is similar to previous behavior genetic findings on political attitudes (e.g., Alford et al., 2005; Bouchard, 2004; Hatemi et al., 2014; Kandler, Bleidorn, & Riemann, 2012). The remaining variance was again due primarily to nonshared environmental influences. The latter finding indicates that the Michigan hypothesis that partisan social influences affect political orientations may have some merit, although the substantial level of heritability for this variable suggests that genetic effects also play an important role.


As Table 4 reveals, the best fitting model indicates that 100% of the genetic variance in PID is held in common with liberalism–conservatism ([aC2]/[aC2 + aPID2] = 1.00). Similarly, 73% of the environmental variation in PID is shared with liberalism–conservatism ([eC2]/[eC2 + ePID2] = .73). All told, only 13% of the total variance in PID cannot be explained by variation in liberalism–conservatism (1 [aC2 + eC2] = .13), as illustrated in Fig. 3. Since only a small proportion of the variance in PID cannot be explained by liberalism– conservatism, the findings are consistent with the hypothesis that genetic and environmental factors influence liberalism–conservatism, which in turn affects party identification. However, as discussed below, other causal scenarios cannot be ruled out.

Table 4 and Fig. 3 also show that 55% of the total variance in liberalism–conservatism cannot be accounted for by variance in PID

Fig. 3. Venn diagram mapping the common and specific variance in party
identification and liberalism–conservatism.

intuition for how you can figure out overlap of variance: look at how corr(PID, liberal-conservative) differs between MZ and DZ twin pairs, etc., fit structural equational model

p_k,i,j = r_A a_k,i,j,p + r_C c_k,i,p + r_E e_k,i,j,p (k=MZ or DZ, i=1..n_k, j=1,2, p=PID or LC value)

c_k,i,j,p = r_{C,p} c'_k,i,p + r_{C,common} c'_k,i,common (ditto)
e_k,i,j,p = r_{E,p} e'_k,i,j,p + r_{E,common} e'_k,i,j,common (ditto)

MZ twins:
a_MZ,i,j,p = r_{A,p} a'_MZ,i,p + r_{A,common} a'_MZ,i,common (i=1..n_k, j=1,2 p=PID or LC value)

DZ twins:
a_DZ,i,j,p = r_{A,p} (1/2 a'_DZ,i,p + 1/2 a'_DZ,i,j,p) + r_{A,common} (1/2 a'_DZ,i,common + 1/2 a'_DZ,i,j,common) (i=1..n_k, j=1,2 p=PID or LC value)

Gaussian distribution for the underlying a', c' and e' variables, maximum likelihood, etc.

see page 9 here: https://pinboard.in/u:nhaliday/b:70f8b5b559a9

1. calculate population means μ from data (so just numbers)
2. calculate covariance matrix Σ in terms of latent parameters r_A, r_C, etc. (so variable correlations)
3. assume observed values are Gaussian with those parameters μ, Σ
4. maximum likelihood to figure out the parameters r_A, r_C, etc.

A Genetic Basis of Economic Egalitarianism: http://sci-hub.tw/10.1007/s11211-017-0297-y
Our results show that the large portion of the variance in a four-item economic egalitarianism scale can be attributed to genetic factor. At the same time, shared environment, as a socializing factor, has no significant effect. The effect of environment seems to be fully reserved for unique personal experience. Our findings further problematize a long-standing view that social justice attitudes are dominantly determined by socialization.

published in the journal "Social Justice Research" by some Hungarians, lol

various political science findings, w/ a few behavioral genetic, focus on Trump, right-wing populism/authoritarianism, and polarization: http://www.nationalaffairs.com/blog/detail/findings-a-daily-roundup/a-bridge-too-far
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february 2017 by nhaliday
Oh, they were looking for their Missing Piece – spottedtoad
Assuming that the value of an offspring’s trait are determined by averaging the value of both parents and then adding some random error due to mutation or developmental noise, the ideal mate for each individual in the population isn’t the one that is closest to the ideal value, but one that is “complementary”- ie, equally distant from the ideal value, but from the opposite side.
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january 2017 by nhaliday
Random Notes | pseudoerasmus : speculation on future of dysgenic fertility
So chances are, as economic growth sails forward, there will be in the future a persistent mismatch in the number of men and women who are employable and gainfully employed. And thus there will also be a persistent mismatch in the number of men and women who could be assortatively mated. Unless women by the millions decide to marry well beneath their status and support lout-husbands, or become single-mothers through various options for reproduction, the fertility of the lower half of the income distribution could drop. Maybe not, but why not?

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january 2017 by nhaliday
The Role of Genes and Environment in Degree of Partner Self-Similarity | SpringerLink
Selecting for self-similarity is at least partially driven by phenotypic matching wherein couples share similar phenotypes, and preferences for a number of these traits are partly genetically influenced (e.g., education, height, social attitudes and religiosity). This suggests that genetically influenced preferences for self-similarity might contribute to phenotypic matching (and thus assortative mating), but it has never been studied in actual couples. In the present study, we use a large sample of twins to model sources of variation in self-similarity between partners. Biometrical modelling revealed that very little of the variation in the tendency to assortatively mate across 14 traits was due to genetic effects (7 %) or the shared environment of twins (0 %).
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january 2017 by nhaliday
Ten Putative Contributors to the Obesity Epidemic
The obesity epidemic is a global issue and shows no signs of abating, while the cause of this epidemic remains unclear. Marketing practices of energy-dense foods and institutionally-driven declines in physical activity are the alleged perpetrators for the epidemic, despite a lack of solid evidence to demonstrate their causal role. While both may contribute to obesity, we call attention to their unquestioned dominance in program funding and public efforts to reduce obesity, and propose several alternative putative contributors that would benefit from equal consideration and attention. Evidence for microorganisms, epigenetics, increasing maternal age, greater fecundity among people with higher adiposity, assortative mating, sleep debt, endocrine disruptors, pharmaceutical iatrogenesis, reduction in variability of ambient temperatures, and intrauterine and intergenerational effects, as contributing factors to the obesity epidemic are reviewed herein. While the evidence is strong for some contributors such as pharmaceutical-induced weight gain, it is still emerging for other reviewed factors.
study  meta-analysis  survey  obesity  health  hypochondria  assortative-mating  sleep  model-organism  human-study  🐸  endocrine  metabolic  biodet  epigenetics  epidemiology  sociology  public-health  recent-selection 
january 2017 by nhaliday
Genetic Consequences of Assortative Mating for Psychiatric Traits | Genetics and Genomics | JAMA Psychiatry | The JAMA Network
Phenotypic assortment results in increased genetic variance in the offspring generation, which may result in increased heritability and population prevalence. These consequences add generation after generation to a limit, but assortative mating is unlikely to balance the impact of reduced fecundity of patients with psychiatric disorders in the long term. This modeling suggests that the heritabilities of psychiatric disorders are unlikely to increase by more than 5% from 1 generation of assortative mating (maximally 13% across multiple generations).
study  prediction  genetics  assortative-mating  disease  psychiatry  personality  org:nat  biodet  epidemiology  sociology  moments  variance-components  🌞  hmm  science-anxiety  behavioral-gen  public-health  autism  similarity 
december 2016 by nhaliday
The Genetic Correlation between Height and IQ: Shared Genes or Assortative Mating?
Both traits were highly heritable, although there was greater evidence for non-additive genetic effects in males. After accounting for assortative mating, the correlation between height and IQ was found to be almost entirely genetic in nature. Model fits indicate that both pleiotropy and assortative mating contribute significantly and about equally to this genetic correlation.
study  embodied  iq  genetic-correlation  assortative-mating  twin-study  sib-study  correlation  biodet  science-anxiety  behavioral-gen 
november 2016 by nhaliday
Information Processing: Assortative mating, regression and all that: offspring IQ vs parental midpoint
Assuming parental midpoint of n SD above the population average, the kids' IQ will be normally distributed about a mean which is around +.6n with residual SD of about 12 points. (The .6 could actually be anywhere in the range (.5, .7), but the SD doesn't vary much from choice of empirical inputs.)

possible to calculate the residual variance from first principles?

Some data on regression: http://infoproc.blogspot.com/2010/10/some-data-on-regression.html
hsu  parenting  iq  regression-to-mean  street-fighting  explanation  methodology  assortative-mating  scitariat  variance-components  biodet  nibble  behavioral-gen  multi  data  stories  education  acm 
november 2016 by nhaliday
The Son Also Rises | West Hunter
It turns out that you can predict a kid’s social status better if you take into account the grandparents as well as the parents – and the nieces/nephews, cousins, etc. Which means that you’re estimating the breeding value for moxie – which means that Clark needs to read Falconer right now. I’d guess that taking into account grandparents that the kids never even met, ones that died before their birth, will improve prediction. Let the sociologists chew on that.


If culture was the driver, a group could just adopt a different culture (it happens) and decide to be the new upper class by doing all that shit Amy Chua pushes, or possibly by playing cricket. I don’t believe that this ever actually occurs. Although with genetic engineering on the horizon, it may be possible. Of course that would be cheating.

It is hard to change these patterns very much. Universal public education, fluoridation, democracy, haven’t made much difference. I do think that shooting enough people would. Or a massive application of droit de seigneur, or its opposite.


If moxie is genetic, most economists must be wrong about human capital formation. Having fewer kids and spending more money on their education has only a modest effect: this must be the case, given slow long-run social mobility. It seems that social status is transmitted within families largely independently of the resources available to parents. Which is why Ashkenazi Jews could show up at Ellis Island flat broke, with no English, and have so many kids in the Ivy League by the 1920s that they imposed quotas. I’ve never understood why economists ever believed in this.

Moxie is not the same thing as IQ, although IQ must be a component. It is also worth remembering that this trait helps you acquire status – it is probably not quite the same thing as being saintly, honest, or incredibly competent at doing your damn job.

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november 2016 by nhaliday
Molecular Psychiatry - Genetics and intelligence differences: five special findings
Here, we highlight five genetic findings that are special to intelligence differences and that have important implications for its genetic architecture and for gene-hunting expeditions.
(i) The heritability of intelligence increases from about 20% in infancy to perhaps 80% in later adulthood.
(ii) Intelligence captures genetic effects on diverse cognitive and learning abilities, which correlate phenotypically about 0.30 on average but correlate genetically about 0.60 or higher.
(iii) Assortative mating is greater for intelligence (spouse correlations ~0.40) than for other behavioural traits such as personality and psychopathology (~0.10) or physical traits such as height and weight (~0.20). _Assortative mating pumps additive genetic variance into the population every generation_, contributing to the high narrow heritability (additive genetic variance) of intelligence.
(iv) Unlike psychiatric disorders, intelligence is normally distributed with a positive end of exceptional performance that is a model for ‘positive genetics'.
(v) Intelligence is associated with education and social class and broadens the causal perspectives on how these three inter-correlated variables contribute to social mobility, and health, illness and mortality differences.

also interesting: assortative mating greater for verbal (~0.50) than spatial IQ (~0.30)
iq  survey  genetics  meta-analysis  study  variance-components  org:nat  summary  genetic-correlation  assortative-mating  top-n  🌞  c:***  spearhead  big-picture  biodet  sociology  behavioral-gen 
september 2016 by nhaliday
Say you don’t need no diamond ring – spottedtoad
women almost never marry down

Most of these graphs are for middle aged (40-55 year old) respondents; relative incomes for men and women in 2016 are already much closer to 1 for younger workers, with some surveys suggesting that young women are already exceeding young men in earnings. If the pattern Bertrand and her colleagues observe persists, this would suggest that marriage rates may decline much faster than previously anticipated.

Gender Identity and Relative Income within Households: http://www.nber.org/papers/w19023
We examine causes and consequences of relative income within households. We establish that gender identity - in particular, an aversion to the wife earning more than the husband - impacts marriage formation, the wife's labor force participation, the wife's income conditional on working, marriage satisfaction, likelihood of divorce, and the division of home production. The distribution of the share of household income earned by the wife exhibits a sharp cliff at 0.5, which suggests that a couple is less willing to match if her income exceeds his. Within marriage markets, when a randomly chosen woman becomes more likely to earn more than a randomly chosen man, marriage rates decline. Within couples, if the wife's potential income (based on her demographics) is likely to exceed the husband's, the wife is less likely to be in the labor force and earns less than her potential if she does work. Couples where the wife earns more than the husband are less satisfied with their marriage and are more likely to divorce. Finally, based on time use surveys, the gender gap in non-market work is larger if the wife earns more than the husband.

Still think falling M:F income ratios important to secular decline in marriage, but seems like Tinderpocalypse might really be happening too

Millennials are still not getting married: http://www.statsblogs.com/2016/10/14/millennials-are-still-not-getting-married/
Percentage of U.S. women never married, by age, 1980 & 2015 [OC]: https://www.reddit.com/r/dataisbeautiful/comments/7b31li/percentage_of_us_women_never_married_by_age_1980/dpevgj6/

How Many Women Earn More Than Their Husbands?: https://fivethirtyeight.com/datalab/how-many-women-earn-more-than-their-husbands/

Trends in Relative Earnings and Marital Dissolution: Are Wives Who Outearn Their Husbands Still More Likely to Divorce?: http://www.rsfjournal.org/doi/full/10.7758/RSF.2016.2.4.08
A: no
likely due to selection...

How Did Marriage Become a Mark of Privilege?: https://www.nytimes.com/2017/09/25/upshot/how-did-marriage-become-a-mark-of-privilege.html
Let them become elite.: https://dalrock.wordpress.com/2017/09/26/let-them-become-elite/
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september 2016 by nhaliday

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