Tag Archives: race

Video series debut: The Story Behind the Numbers

The wonderful animators at Kiss Me I’m Polish, who did the design and graphics for my book The Family, are producing short videos based on an infographic series in the text called The Story Behind the Numbers. These are less than 2 minutes long and use just a few numbers, intended to spur reflection and discussion in conjunction with the details in the book, with narration by me.

The first one is available now. From chapter 7, “Love and Romantic Relationships,” we have a one-minute animation called, “Race and ethnicity divides college students’ dating lives.” In the book I took numbers from Elizabeth Aura McClintock’s 2010 paper in Journal of Marriage and Family and reported on the relative frequency of within-race/ethnicity dating among students at Stanford University. It’s fascinating to me how strong the matching is in such an elite setting, where you might expect gradations of social status to matter less.

The graphic in the book represents the whole table of matches relative to the proportion of each group in the dating pool.

As the rest of series comes out I will link them from the Teaching page.

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Post-summer reading list: The Family, gender, race, economics, gayborhoods, insecurity and overwhelmed

I was extremely fortunate to have a real vacation this summer — two whole weeks. I feel like half a European. In that time I read, almost read, or thought about reading, a number of things I might have blogged about if I’d been working instead of at the beach:

beach-reading-2

The Family: Diversity, Inequality, and Social Change

Yes, my own book came out. I never worked on one thing so much. I really hope you like it. Look for it at the Norton booth at the American Sociological Association meetings in San Francisco this week. Info on ordering exam copies here.

About that gender stall

The Council on Contemporary Families, on whose board I serve, published an online symposium titled, After a Puzzling Pause, the Gender Revolution Continues. It features work by the team of David Cotter, Joan Hermsen, and Reeve Vanneman on a rebound in gender attitudes; new research on sex (by Sharon Sassler) and divorce (by Christine Schwartz) in egalitarian marriages; and how overwork contributes to the gender gap (by Youngjoo Cha). For additional commentary, see this piece by Virginia Rutter at Girl w/ Pen!, and an important caution from Joanna Pepin (who finds no rebound in attitudes in the trends for high school students). If I had written a whole post about this I would have found a way to link to my essay on the gender stall in the NYTimes, too.

Gender and Piketty

How Gender Changes Piketty’s ‘Capital in the Twenty-First Century’.” A discussion hosted by The Nation blog between Kathleen Geier, Kate Bahn, Joelle Gamble, Zillah Eisenstein and Heather Boushey

Scientists strike back at Nicholas Wade

Geneticists decry book on race and evolution.” More than 100 scientists signed a letter to the New York Times disavowing Wade’s use of population genetics. This story quotes Sarah Tishkoff, whose work Wade specifically misrepresented (as I described in my review in Boston Review). The article in Science also includes Wade’s weak response, in which he repeats the claim, which I do not find credible, that their objections are “driven by politics, not science.” He repeats this no matter how scientific the objections to his work.

Here comes There Goes the Gayborhood?

Amin Ghaziani’s new book has gotten a lot of well-deserved attention in the last few weeks. Here’s one good article in the New Yorker.

Cut Adrift: Families in Insecure Times

Marianne Cooper’s book is out now. From the publisher: “Through poignant case studies, she reveals what families are concerned about, how they manage their anxiety, whose job it is to worry, and how social class shapes all of these dynamics, including what is even worth worrying about in the first place.” Cooper led the research for Sheryl Sandberg’s book Lean In, and the book is from her sociology dissertation.

Overwhelmed: Work, Love, And Play When No One Has The Time

Brigid Schulte, a Washington Post journalist, has written a really good book about gender, work, and family. (I was happy to listen to it during the drive to our vacation, because it helped me let go and ignore work more.) I’ll write a longer review, but let me just say here it is very well written and researched on the issues of time use, the household division of labor, and work-family policy and politics, featuring many of your favorite social scientists in this area. Well worth considering for an undergrad family course. (Also, helps explain why there are so many Europeans on American beaches.)

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Reviewing Nicholas Wade’s troublesome book

boston-review-frontpage

I have written a review of Nicholas Wade’s book, A Troublesome Inheritance: Genes, Race and Human History, for Boston Review. Because there already are a lot of reviews published, I also included discussion of the response to the book. And because I’m not expert in genetics and evolution, I got to do a pile of reading on those subject as well. I hope you’ll have a look: http://www.bostonreview.net/books-ideas/philip-cohen-nicholas-wade-troublesome-inheritance

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Michigan Black college completion falters (with consequences)

Yesterday the Supreme Court ruled that Michigan voters have the Constitutional right to ban the state’s government from using race-specific policies. The immediate implication for Michigan, and other states, is for university admissions polices. So now if the state wants to pass a law allowing children of alumni easier admission to the University of Michigan, it’s a simple act of the legislature; but if they want to consider race in their admissions, they will need to amend the state constitution.

The University of Michigan has been at the center of national affirmative action debates for several decades (at least since I arrived there in 1988). I previously reported that court decisions against the state’s affirmative action policy led to a precipitous decline in Black students entering the University in the 2000s, as shown in this graph:

That’s just the University of Michigan, an important school, but only one. (The New York Times has a graphic showing enrollment trends in a series of states with affirmative action bans.) For the whole state of Michigan, Black college graduation rates fell further behind the national average over the last decade. Here is the percent of Black 25-29 year-olds who have completed college, from 1970 to 2012, nationally versus in Michigan alone, for women (left) and men (right):

michigan-black-grad-rates

Source: 1970-2000 Decennial Censuses and 2010-2012 American Community Survey, via IPUMS.

During the 2000s, the national-Michigan gap widened from 2.3 points to 4.1 points for men, and from 3.4 to 4.8 points for women.

I am not expert in the legal arguments over this, so I can’t analyze the decision (here’s one good take). But regardless of whether it’s bad law, I think it’s bad policy.

Yesterday in a tweet I picked on the new, data-heavy news operations run by (from left to right) David Leonhardt (NY Times Upshot), Ezra Klein (Vox), and Nate Silver (Five Thirty Eight) for having very White-looking staff teams:

thenewteams

I don’t know any more about what goes into their hiring decisions than I do about what goes into University of Michigan admission decisions (and I know they have staff beyond these featured writers). I’m sure they all want talented people with a wide range of perspectives and skills. But the outcome in both the media and college situations is bad. It limits the perspectives presented, undermines progress toward racial-ethnic equality, and contributes to the inertia that stymies the potential of future leaders.

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What they say about race when they don’t say anything about race and poverty

My picture from the 2013 50th anniversary of the March on Washington.

My picture from the 2013 50th anniversary of the March on Washington.

Referring to The Bell Curve, Paul Krugman wrote that Charles Murray was “famous for arguing that blacks are genetically inferior to whites.” In response, Murray wants us to know that the book was not about race and IQ. The research in the book (co-authored with Richard Herrnstein), purporting to show the powerful effect of genes on intelligence and success in America, was about Whites. Its sole concrete statement about race, Murray says, was this:

It seems highly likely to us that both genes and the environment have something to do with racial differences. What might the mix be? We are resolutely agnostic on that issue; as far as we can determine, the evidence does not justify an estimate.

That led to this Twitter exchange:

murray-fire-tweet

Why do so many people think the book was a sociobiological racist tract, when it made only indirect claims about genetic racial hierarchies? Context matters. In the U.S., you can practice racism without speaking about race.

In my teaching, I often discuss the role of male incarceration, mortality, and unemployment in contributing to the difference in marriage rates between Black and White women. And when I show that Black men have incarceration rates many times higher than White men’s, I focus on racism more than race. That is, these inequalities are not the outcomes of race, but of the way racial inequality works — explicit and implicit racism, unequal opportunity, policing practices, incarceration policies, and so on. Sometimes I do use phrases like “low-income communities,” or “inner city areas,” but I try to be specific about race and racism when it’s called for — even though of course it can be uncomfortable, for me and my students, to do that. It’s important because in the U.S. system of inequality racial inequality is not just an outcome: the system doesn’t just differentiate people by class or gender or skills or something else, with a lower-class population that “just happens” to be disproportionately from racial-minority groups.

One thing that frustrates me in the growing conversation about economic inequality is the appearance of a perhaps-too-comfortable stance in which being explicit about economic inequality means not having to address racial inequality. It is true, and important, economic inequality exacerbates racial (and gender) inequality. That’s why this stance frustrates me rather than angering me. But there is a certain politeness involved in talking about class instead of race that sometimes doesn’t help. Of course, this issue is not new at all, having been litigated especially extensively in the 1980s around the sociological work of William Julius Wilson (see, e.g., this collection).

Wilson’s research — the declining significance of race, or, the increasing significance of class — contributed to today’s movement against class inequality (as Krugman’s post illustrates). But it has also been co-opted by people taking the really racist position that inequality is caused by race (rather than racism). That is: poor minorities cause poverty. This position ironically doesn’t have to discuss race at all, because the framing is the dog whistle.

Which brings us around to the flap over Paul Ryan’s recent racist-without-race remarks. Here is a series of quotes to put that in context. None mentions race. Follow the underlined sequence:

William Julius Wilson: “Inner-city social isolation also generates behavior not conducive to good work histories. The patterns of behavior that are associated with a life of casual work (tardiness and absenteeism) are quite different from those that accompany a life of regular or steady work (e.g., the habit of waking up early in the morning to a ringing alarm clock).”

Newt Gingrich: “Really poor children, in really poor neighborhoods, have no habits of working, and have nobody around them who works. So they literally have no habit of showing up on Monday, they have no habit of staying all day.”

Paul Ryan: “We have got this tailspin of culture, in our inner cities in particular, of men not working and just generations of men not even thinking about working or learning the value and the culture of work.”

Charles Murray: “Try to imagine a GOP presidential candidate saying in front of the cameras, ‘One reason that we still have poverty in the United States is that a lot of poor people are born lazy.’ You cannot imagine it because that kind of thing cannot be said. And yet this unimaginable statement merely implies that when we know the complete genetic story, it will turn out that the population below the poverty line in the United States has a configuration of the relevant genetic makeup that is significantly different from the configuration of the population above the poverty line. This is not unimaginable. It is almost certainly true.”

In this progression, we go from children not being sufficiently exposed to steady work, to children seeing no one working in their daily lives, to multiple generations not even thinking about working, to people who are genetically lazy. That’s something!

What they talk about when they’re not talking about race

In his post on the Paul Ryan comment, Shawn Fremstad compares Ryan to Murray and concludes that Murray is more apocalyptic because he’s warning against a White cultural collapse, not just complaining about a Black one. Murray has perfected the strategy of writing about Whites (including in his latest book, Coming Apart). But I usually think of this as a dog whistle device to protect his mainstream image while whipping up his racist base. That is, if you show that genetic intelligence determines economic inequality among Whites (Bell Curve) or that declining moral standards undermine families and the work ethic among Whites (Coming Apart), then the implications for Blacks — poorer and therefore supposedly more morally decrepit and less intelligent on a population level — are obvious and need not be repeated in polite company. Just say, calmly, “Smoke,” and let (racist) nature takes its course.

But maybe Fremstad is right, that the Full Murray is more extreme than the dog-whistling Ryan. Here’s how he puts it:

In short, today’s Charles Murray thinks the much bigger culture problem—the one that really puts American society’s very survival at risk—is with white working-class people, which is what makes Ryan’s almost-nostalgic dog-whistling about “inner-city” men so striking. The big question here is whether Ryan is willing to up ante, and go for the full Murray by calling out white working-class “culture”, particularly in the suburbs and small towns where so many low- and moderate-income white people live.

I don’t know. But one answer to that came in the follow-up flap, in which Ryan insisted to a reporter that he was talking about all poor people, such as the rural poor, for whom “there are no jobs.” As Jay Livingston points out, that’s not a clarification that was warranted when he was talking about “inner city” men who are “not even thinking about working.”

What does Brad Wilcox have to not say about this?

The other recent entry in this tradition is none other than Brad Wilcox, currently a colleague of Murray’s (and apparently an impressive one) at the American Enterprise Institute (AEI). In last year’s attempt to promote early marriage, the “Knot Yet” report, he wrote about the “education and class divide” in non-marital births — and avoided race almost entirely.

But seriously, if you claim to be serious about the serious issue of unmarried women having babies, you can’t politely ignore race and racism. It’s ridiculous (as I’ve argued before, about mobility). This issue simply does not reduce to social class or education level. Look: Black mothers are much more likely than White mothers to be unmarried at every education level.

unmarriedmothers

Among college graduates, Black mothers are 5.4-times more likely than White mothers to be unmarried; for high school graduates it’s 1.7-to-1. Asian mothers who are high school dropouts are less likely to be unmarried than Black college graduates. However you want to address this issue (if you want to address it at all), if you ignore this pattern and only talk about education or social class, you’re either uninformed or dishonest.

Or, you don’t care about Black families. This is exactly what Wilcox exhibited in a shocking interview with James Pethokoukis for AEI. Wilcox said the government should lead a public education campaign to convince people to be married before they have children. Then the question was, “What would be the nature of that sort of PR campaign, and to whom would it be directed?” This was his answer (from the edited transcript):

Well, the first thing is you have to understand is where all the momentum is here. Basically, since the 1970s, you’ve seen pretty high levels of single parenthood and non-marital child bearing among poor Americans and Americans who are high school dropouts. And we’ve also seen in the last really 20 or 30 years that in some important respects, marriage is stronger among college-educated Americans. So, for instance, divorce has come down from the ’70s to the present for college-educated Americans. So there’s been progress there.

But I think in terms of where all the sort of movement is recently, and it’s primarily in a negative direction, it’s among moderately educated Americans who have got a high school degree or some college or kind of classic working-class or lower middle-class Americans. And it’s this particular portion of the population and where about half of their births are outside of marriage today. And they’re at a tipping point. They can go down the road of not having marriage as the keystone to their family formation, family life, or we can hold the line, if you will, and try to figure out creative strategies for strengthening marriage in this particular middle demographic in the United States.

What is the “classic working class or lower middle-class American”? Hm. Here I’ll switch to my own transcription of the audio file AEI posted, because the details they edited out are interesting. Pethokoukis asks Wilcox to elaborate, “is this the bottom 20 percent we’re talking about”?

No, no. I’m talking about, essentially, from the 25th percentile, if you will, to the 65th percentile. So, one way to talk about it would be, sort of, you know, in some ways the NASCAR demographic would be one way to talk about it. Actually a large share of the Hispanic population in the United States would fit into this demographic group. You know, it’s sort of this middle American group, both white and Hispanic, where, once again, they’re at kind of a tipping point. And if we can kind of I think get a positive message to this group or these groups about marriage and fatherhood, you know it’s kind of an ideal, it’s a goal. That is part of the solution.

Really. The 25th to the 65th percentile of family income? That is from $32,500 to $85,000 income per year. That includes 33 percent of the African American population, 37 percent of Whites, and 38 percent of Latinos.* So, it’s more or less the middle third of each group. Or, you know, sort of, Whites and Hispanics. And NASCAR people.**

Photo by familymwr from Flickr Creative Commons

Photo by familymwr from Flickr Creative Commons

Now I suppose this is what Shawn Fremstad calls the Full Murray. Wilcox is raising the alarm about Whites, “classic” Americans, who are “at kind of a tipping point.” Just as Ryan invokes the lack of jobs when he gets out of the “inner city,” when Wilcox is talking about “classic” Americans, he says there is still time to stop them from going “down the road of not having marriage as the keystone to their … family life.” With them, “we can hold the line” for marriage. The clear implication is that Blacks passed that “tipping point” already, so that no such intervention is warranted.

*All these numbers are based on the Current Population Survey of the civilian non-institutional population.

** Wilcox presumably assumes NASCAR fans are White, but various sources (like this and this) say Blacks are about 9% of its fan base (can you find the Black fan in the picture above?).

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Especially if they’re Black: A shortage of men for poor women to marry

One thing a lot of liberals and conservatives can agree on: not talking about race.

[If you don't have time for the text, just skip to the figure.]

Liberals are happy when conservatives talk about inequality, which they’re doing a lot more these days. And when they debate marriage as a way to “cure” poverty, neither talks about race. For example, Annie Lowrey writes in the the NYT Magazine:

With Democrats and Republicans pitted against one another in a vicious election-year battle over how to alleviate poverty, marriage is the policy solution du jour.

First, Lowrie makes the now universal mistake in interpreting the famous Chetty et al. result:

In a new study, the economist Raj Chetty and his co-authors found that, in terms of income mobility, nothing matters more for a low-income child than the family structures she sees in her community — not neighborhood segregation, school quality or a host of other factors.

Traditionally in America, when you say “a host of other factors,” that includes race. But the Chetty et al. paper is nearly unique in its avoidance of race, partly because race isn’t specified in tax records. So “nothing matters more” is at best untested, and at worst completely wrong, since race isn’t in the model. (My argument on this is here).

To those of us old enough to remember, or have read stuff from, the 1980s, not including race in this conversation is bizarre. Of course, it is not crazy to talk about poverty as an issue. In that article, Kristi Williams is right when she says:

It isn’t that having a lasting and successful marriage is a cure for living in poverty. Living in poverty is a barrier to having a lasting and successful marriage.

But the article doesn’t address the hard demographic reality that the things that make marriage less available or attractive to poor women — Lowrey lists “globalization, the decline of labor unions, technological change and other tidal economic forces” — have done it much more for Black women, even among the poor. In addition to even worse job prospects, for Black men you need to add incarceration, mortality, and intermarriage rates much higher for men than for women.

Here’s a simple way to see this. Adapting the old formula from William Julius Wilson, I counted up the number of employed, non-married men per non-married woman (employed or not) in the age range 25-34, separately for Blacks and Whites, and by education, for the 50 biggest metropolitan areas (one not shown because of data shortage, one outlier excluded). With intermarriage rates so low for Black women, and the tendency not to marry men without jobs, this is a reasonable approximation of the marriage market for Black women, though it understates the number of men available to White women.

This is the result:

blog-mmpi

Dots in the green areas show relative surpluses of men. Dots under the red line show better markets for White women than for Black women. It takes a minute to figure out. If your jaw dropped, you got it. With or without college degrees Black women face a shortage of “mariageable” men in every single market except five (Portland OR, Minneapolis, Denver, Salt Lake City, and Providence, which was the outlier not shown). For college graduates Black women are under 75 men per 100 women in all but two markets, non-graduates are under 75 in 40 out of 48.

White women’s market is better than Black women’s in all but six (those five plus Sacramento). In most cases White women graduates have a surplus of men from which to choose.

Poverty is one thing. Race is another. They overlap, but on some questions they can’t be combined. Marriage is one of those issues. So, when you talk about the shortage of men to marry, I recommend remembering race.

Note: After I made this graph, Joanna Peppin and I decided to write a paper together on this. That is still in the pipeline, and I was going to save this for when it’s ready. But there will be plenty more.

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How to illustrate a .61 relationship with a .93 figure: Chetty and Wilcox edition

Yesterday I wondered about the treatment of race in the blockbuster Chetty et al. paper on economic mobility trends and variation. Today, graphics and representation.

If you read Brad Wilcox’s triumphalist Slate post, “Family Matters” (as if he needed “an important new Harvard study” to write that), you saw this figure:

chetty-in-wilcox

David Leonhardt tweeted that figure as “A reminder, via [Wilcox], of how important marriage is for social mobility.” But what does the figure show? Neither said anything more than what is printed on the figure. Of course, the figure is not the analysis. But it is what a lot of people remember about the analysis.

But the analysis on which it is based uses 741 commuting zones (metropolitan or rural areas defined by commuting patterns). So what are those 20 dots lying so perfectly along that line? In fact, that correlation printed on the graph, -.764, is much weaker than what you see plotted on the graph. The relationship you’re looking at is -.93! (thanks Bill Bielby for pointing that out).

In the paper, which presumably few of the people tweeting about it read, the authors explain that these figures are “binned scatter plots.” They broke the commuting zones into equally-sized groups and plotted the means of the x and y variables. They say they did percentiles, which would be 100 dots, but this one only has 20 dots, so let’s call them vigintiles.

In the process of analysis, this might be a reasonable way to eyeball a relationship and look for nonlinearities. But for presentation it’s wrong wrong wrong.* The dots compress the variation, and the line compresses it more. The dots give the misleading impression that you’re displaying the variance around the line. What, are you trying save ink?

Since the data are available, we can look at this for realz. Here is the relationship with all the points, showing a much messier relationship, the actual -.76 (the range of the Chetty et al. figure, which was compressed by the binning, is shown by the blue box):

chetty scattersThat’s 709 dots — one for each of the commuting zones for which they had sufficient data. With today’s powerful computers and high resolution screens, there is no excuse for reducing this down to 20 dots for display purposes.

But wait, there’s more. What about population differences? In the 2000 Census, these 709 commuting zones ranged in population in the 2000 Census from 5,000 (Southwest Jackson, Utah) to 16,000,000 (Los Angeles). Do you want to count Southwest Jackson as much as Los Angeles in your analysis of the relationship between these variables? Chetty et al. do in their figure. But if you weight them by population size, so each person in the population contributes equally to the relationship, that correlation that was -.76 — which they displayed as -.93 — is reduced to -.61. Yikes.

Here is what the plot looks like if you scale the commuting zones according to population size (more or less, not quite sure how Stata does this):

chetty scatters weighted

Now it’s messier, and the slope is much less steep. And you can see that gargantuan outlier — which turns out to be the New York commuting zone, which has 12 million people and with a lot more upward mobility than you would expect based on its family structure composition.

Finally, while we’re at it, we may as well attend to that nonlinearity that has been apparent since the opening figure. We can increase the variance explained from .38 to .42 by adding a quadratic term, to get this:

chetty scatters weighted quad

I hate to go beyond what the data can really tell. But — what the heck — it does appear that after 33% single-mother families, the effect hits its minimum and turns positive. These single mother figures are pretty old (when Chetty et al.’s sample were kids). Now that the country has surpassed 40% unmarried births, I think it’s safe to say we’re out of the woods. But that’s just speculation.**

*OK, OK: “wrong wrong wrong” is going too far. Absolute rules in data visualization are often wrong wrong wrong. Binning 709 groups down to 20 is extreme. Sometimes you have a zillion points. Sometimes the plot obscures the pattern. Sometimes binning is an inherent part of measurement (we usually measure age in years, for example, not seconds). None of that is an excuse in this case. However, Carter Butts sent along an example that makes the point well:

841101_10201299565666336_1527199648_o

On the other hand, the Chetty et al. case is more similar to the following extreme example:

If you were interested in the relationship between age and earnings for a sample of 1,400 full-time, year-round women, you might start with this, which is a little frustrating:

age-wage1

The linear relationship is hard to see, but it’s about +$500 per year of age. However, the correlation is only .13, and the variance explained by linear-age alone is only 1.7%. But if you plotted the mean wage over ages, the correlation jumps to .68:

age-wage2

That’s a different question. It’s not, “how does age affect earnings,” it’s, “how does age affect mean earnings.” And if you binned the women into 10-year age intervals (25-34, 35-44, 45-54), and plotted the mean wage for each group, the correlation is .86.

age-wage3

Chetty et al. didn’t report the final correlation, but they showed it, even adding the regression line, so that Wilcox could call it the “bivariate relationship.”

**This paragraph was a joke that several people missed, so I’m clarifying. I would never draw a conclusion like that from the scraggly tale of a loose correlation like this.

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