Man woman couple height, updated

I had a popular post in 2013 called, “Why taller-wife couples are so rare,” a title given it by my old Atlantic editor, who ran it under a picture of Nicole Kidman (5′ 11″) with her second shorter husband. I also put a version of it in my book Enduring Bonds, and reference it in The Family. In it I used data from the 2009 PSID to show that people are more likely to pair up as taller-man-shorter-woman than would be expected by chance. I’ve now updated it with the 2017 PSID data. This is a revised version of that post with the new data.

Men are bigger and stronger than women. That generalization, although true, doesn’t adequately describe how sex affects our modern lives. In the first place, men’s and women’s size and strength are distributions. Strong women are stronger than weak men, so sex doesn’t tell you all you need to know. Otherwise, as retired colonel Martha McSally put it with regard to the ban on women in combat positions, “Pee Wee Herman is OK to be in combat but Serena and Venus Williams are not going to meet the standard.”

Second, how we handle that average difference is a matter of social construction: We can ignore it, minimize it, or exaggerate it. In the realm of love and marriage, we so far have chosen exaggeration.

Consider height. The height difference between men and women in the U.S. is about 6 inches on average. But Michael J. Fox, at five feet, five inches, is shorter than almost half of all U.S. women today. On the other hand, at five-foot-ten, Michelle Obama is taller than half of American men. So how do people match up romantically, and why does it matter?

Because everyone knows men are taller on average, straight couples in which the man is shorter raise a problem of gender performance. That is, the man might not be seen as a real man, the woman as a real woman, if they don’t (together) display the normal pattern. To prevent this embarrassment, some couples in which the wife is taller might choose to be photographed with the man standing on a step behind the woman, or they might have their wedding celebrated with a commemorative stamp showing her practically on her knees—as the British royals did with Charles and Diana, who were both the same height.

They were the same height pic.twitter.com/I9YVAcU4hn

— Philip N Cohen (@familyunequal) March 18, 2017

But the safer bet is just to match up according to the height norm. A study from Britain measured the height of the parents of about 19,000 babies born in 2000. They found that the woman was taller in 4.1 percent of cases. Then they compared the couples in the data to the pattern found if you scrambled up those same men and women and matched them together at random. In that random set, the woman was taller in 6.5 percent of cases. That means couples are more often man-taller, woman-shorter than would be expected by chance. Is that a big difference? I can explain.

For illustration, and to compare the pattern with the U.S., I used the 2017 Panel Study of Income Dynamics, a U.S. survey that includes height reported for 4,666 married couples. These are the height distributions for those spouses, showing a median difference of 6 inches.

Clearly, if these people married (and didn’t divorce) at random we would expect the husband to be taller most of the time. And that is what we find. Here is the distribution of height differences from those same couples:

The most common arrangement is the husband six inches taller, and a small minority of couples—2.7 percent—are on the left side of the line, indicating a taller wife.

But does that mean people are seeking out taller-husband-shorter-wife pairings? To answer that, we compare the actual distribution with a randomized outcome. I made 10 copies of all the men and women in the data, scrambled them up, and paired them at random. They I superimposed the two distributions — observed and random — which allows us to see which arrangements are more or less common in the actual pairings than we would expect by chance:

Now we can see that from same-height up to man-8-inches-taller, there are more couples than we would expect by chance. And below same-height—where the wife is taller—we see fewer in the population than we would expect by chance. There also are relatively few couples at the man-much-taller end of the spectrum—at 9 inches or greater—where the difference apparently becomes awkward, a pattern also seen in the British study. In the random distribution, we would expect 10 percent of couples to have a taller wife, but we only see 7 percent in that range in the observed data.

You could look at this as people marrying to conform more closely to a norm of husbands being 6 inches taller, because there is reduction in both tails. But that left tail just happens to be pulled down right after you get to taller wives, so you could also call it a taller-man norm.

Humans could couple up differently, if they wanted to. If it were desirable to have a taller-woman-shorter-man relationship, it could be much more common. In this sample, 27 percent of women could marry a shorter man, if they all insisted on it. Instead, people seem to exaggerate the difference by seeking out taller-man-shorter-woman pairings for marriage (or maybe the odd taller-woman couples are more likely to divorce, which would produce the same result).

What difference does it make? When people—and here I’m thinking especially of children—see men and women together, they form impressions about their relative sizes (and related capacities). Because people’s current matching process reduces the number of woman-taller pairings, our thinking is skewed that much more toward assuming men are bigger.

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I put the Stata code for this analysis up here.

Thanks to Sebastian Karcher, who figured out for me that 34 percent of women could marry a shorter man.

Special thanks to Jeff Spies, who talked me down on Twitter the other night when I thought the results were all different, and then went and got the data and showed me that I was wrong, which led me to fix it, in the process restoring my faith in the resilience of patriarchy.

Why aren’t female Charlies killing the name Charles?

Geena Davis as the best female movie Charly (The Long Kiss Goodnight, 1996)

Charles was a top-10 name for boys in the U.S. into the 1950s, and it has always been more than 99% male. American parents have shown no interest in breaking down that barrier. However, since the early 2000s, they have started naming their daughters Charlie, Charlee, Charleigh, Charli, Charley, and Charly. Last year 4,882 girls got one of those names, which is more than Anna or Samantha (and more than twice as many as were named Mary).

Near the start of that wave, the Disney TV show Good Luck Charlie — about a married, White couple with four children, the last of which was named Charlotte (nick-named Charlie) — debuted in 2010, and peaked in 2012, with 7.5 million viewers on one Sunday.

But Charlie has not become a girls’ name. As a I reported last week, Charlie is now the most common androgynous name (between 40% and 60% female), with 3,556 births split almost equally between boys and girls. The other variations are more female: All versions of Charlie together are 74% female.

So, with girls pouring in, are parents heading for the exits, as we saw with names like Taylor and Kim? Not yet. Charles is much less common than it once was, but it has not slipped appreciably since girls started picking up its nickname. Here are the trends back to 1880:

As girl Charlies have gained ground, in fact, even the spelling Charlie is rising in the rankings for boys, up to 218th last year from 306th a decade ago. Parents are now naming their boys Charlie at twice the rate they did in 1968. This figure zooms in on the Charlie wars for the last 50 years. (For this I combine all the spellings for boys, but 92% of them are Charlies.)

If Charlie follows the path of previous gender battleground names, however (see Tristan Bridges’ two posts on this from last week), we might still see a male crash, or a female crash, or both. Androgyneity has historically been unstable in this system, especially when (from parents’ point of view) femininity contaminates a masculine space.

If the collapse doesn’t come, maybe it will be because both sides have gender unambiguous reinforcements: Charles for boys (99.8% male), and Charlotte for girls (99.9% female). So parents who like the name Charlie, including those who may choose it precisely because of its androgynous image, also know they have a gendered space they or their children can retreat to if necessary.

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Data for this analysis are from the Social Security Administration. The data files and my Stata code are available on the OSF, here.

Taylor, Kim and the declining sex binary in names

I’ll get to Taylor and Kim, but first more general data.

How gender binary is the practice of naming babies in the U.S.? Very. In 2018, 76% of babies were given names that were more than 99% male or female, according to data from the Social Security Administration (which releases name counts for only two sex categories).

That looks extreme (kurtosis = 1.06!), but 76% is actually the lowest that number has ever been. Here is the trend in babies with >99%-typed names back to 1880 (note the y-axis starts at 70%):

How important are the trends in name binaryness?

In her New York Times article on the rise nonbinary gender identities among young Americans, and a follow-up, Amy Harmon interviewed nonbinary people named Flynn, Keyden, and Charley.  (In 2018, 85% of the babies given the name Charley were identified as girls at birth, compared with 0.2% of those named Charles and 52% of those named Charlie — the most androgynous spelling of the three).*

One notable development in the striking rise of nonbinary identities has been the supportiveness of some parents. But are such parents reacting positively to their children’s development, or — not waiting to be prompted — giving their babies more androgynous names at birth? Extreme sex-dominance of names has become less common, but still dominants. And truly androgynous names, say, between 40% and 60% associated with one sex, are very rare.

Over the long run, the U.S. is becoming a less sex-binary society, but that evolution is far from direct. From 1950 to 1975 (the period featured in Jo Paoletti’s book on the unisex movement in fashion), the percentage of babies given names that were less than 95% associated with a dominant sex almost doubled, to 7.4%. And since then it has increased to 13%. However, the percentage given names that are between 40% and 60% sex-dominant remains barely over 1%. Here are those trends, back to 1940, using data from the Social Security Administration.

Are the parents giving androgynous names even doing it on purpose? I’m not sure how we can tell. Despite phonetic cues, which are guides but not rules, the gender of a name is ultimately determined by the gender of the people who have it. When names are very rare, it’s likely parents just don’t know the sex of the other babies getting the name. Maybe parents giving the names Charlie, Finley, and Dakota — the most popular androgynous names — chose them because they like their androgynousness. But others, like Justice or Ocean, probably just don’t have stable genders attached to them. And the conventional wisdom (from Stanley Lieberson and colleagues) is that androgynous names are not stable — they either swing toward one gender or fade away.

Here are the most common names between 40% and 60% sex dominant in 2018. Maybe blog readers can say something about the motives of the parents using these.

In that 2000 paper by Lieberson et al., which used data on Whites only from Illinois, through 1989 (how did people ever do sociology with such paltry data available to them?), they reported that the parents of girls are more likely to assign them androgynous names than the parents of boys are. That is consistent with the idea that the penalty for gender non-conformity is greater for boys than for girls, that femaleness is the contaminant more than non-conformity — which is why the move toward gender equality meant women wearing pants more than men wearing dresses. But now that may have reversed. Boys are now more likely to be given names that are less than 95% sex-dominant.

I think this is a good avenue for exploring changes in gender attitudes, including regarding nonbinary identities and gender conformity. This will require looking beyond name count trends, obviously.

Kim and Taylor

Another avenue for research involves name contamination (another Lieberson idea, which Tristan Bridges and I have written about; see also earlier posts). From a wide angle, it’s easy to see that androgynous names usually don’t stay that way, or they disappear. But the specific mechanism may be that parents of boys are spooked by the rising femininity of a name and thus turn away from it.

In that Lieberson et al article they cite the case of Kim, which (among Whites in Illinois) was increasing among both boys and girls before Kim Novak burst on the scene in 1954, as a sexy female movie star. And they also observe the rise of Taylor, just beginning by the end of their dataset, in 1989. Now we can update that, and expand it to the whole country, to see the amazing similarity of the cases. Amazing similarity, that is, if you remember who Taylor Dayne is.

Taylor Dayne was a big deal very briefly, at the end of the 1980s, with three gold singles, “Tell It to My Heart”, “I’ll Always Love You,” and “Love Will Lead You Back.” She was nominated for a Best R&B Vocal Performance Grammy for “I’ll Always Love You,” in 1988 (losing to Aretha Franklin). Did Taylor Dayne kill Taylor — right after giving us Taylor Swift (born 1989)? I’m open to other suggestions, but I think it fits. She was a big star briefly, and the music she made (no offense) didn’t turn out to be the most memorable of the period, which was awkwardly sandwiched between decades. There is a difference in scale between the cases, as Taylor peaked at the #6 most popular girls’ name and the 51st most popular boys’ name in the mid-1990s. Also, Taylor still ranks, and is still 18% male, while Kim virtually disappeared. So maybe the dynamic is a little different now.

Anyway, I love the idea that Taylor Dayne killed Taylor, because she isn’t even a real Taylor — she was born Leslie Wunderman (were any other Jews nominated for R&B vocalist Grammys?), and only chose the name Taylor in 1987, as it was already spiking upward. It also raises an issue relevant to the question of nonbinary-supporting parents: name changes. If gender identities are increasingly fluid, maybe names will be, too. In addition to being less sex-typed, names may also become less permanent. Just a thought.

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* In the original version of this post I mistakenly wrote that 20% of Charles’s were girls, it’s actually 0.2% (I read .19 as a proportion instead of a percent).

Data and code for this analysis are on the Open Science Framework here: https://osf.io/m48qc/.

Wives’ share of couple income update

This is an update of previous reports with some new analysis at the end.

In my book Enduring Bonds I showed the distribution of income within different-sex married couples from 1970 to 2014. Here is the updated trend to 2017:

The change from 2014 is a modest continuation. Here’s the detail from 2017, with the couples reporting exactly-even incomes broken out in the middle:

In 2017, for different-sex couples with wife age 18-64:

• 26% of wives earn more than their husbands (up from 15% in 1990 and 7% in 1970).
• The average wife-who-earns-more takes home 69% of the couple’s earnings. The average for higher-earning husbands is 79%.
• It is 8.3-times more common for a husband to earn all the money than a wife (18.7% versus 2.3%).

In the book I offer the following summary:

Actually, this triplet pattern fits a lot of trends regarding gender inequality: yes, lots of change, but most of it decades ago, and not quite as fundamental as it looks.

New breakdown

At the request of Stephanie Coontz, I ran the 2017 numbers by income bracket (and including all ages).  I broke the couples into the bottom 10% (under $27,000), the 10-25th percentile (to $47,000), the 25th-5th (to $80,000), the 50th-75th (to $130,000), the 75th-90th (to $202,000), and the top 10% ($202,000+). Here is the income distribution within couples for each income bracket, with a few points labeled for clarity:

A key point here is that although wives rarely earn the dominant share of income, most couples rely on the wife’s income to maintain their standard of living. For example, a couple at the median, $80,000, would have to drastically alter their lifestyle without the 40-49% share contributed by the wife’s income. Breadwinning in its 1950s connotation is is distracting from this contemporary reality, and we should probably drop the term.

Gender segregated sociology today

This updates a series of posts that have addressed gender in academic sociology, starting in 2011 and updated in 2015, along with various tweets (to see random fact tweets from me on Twitter, Google familyunequal “now you know”).

Gender in academic sociology is complicated because the profession is running pretty female these days, with more than half the U.S. PhDs going to women since 1994, and more than 60% overall since 1999. So although there are various kinds of exclusion, it’s not as simple as excluding women from the discipline, and the representation of women’s representation depends on the choice of denominators. For example, a recent report found that, in the top 100 U.S. sociology departments in 2012, women were 60% of the assistant professors, 54% of the associate professors, and 34% of the full professors. This probably reflects a combination of age and tenure, with this year’s full professors representing yesteryear’s hiring, as well as women having lower rates of progression up the hierarchy.

Also, feminists (myself included) cheer the entry of women into formerly male-only professions but bemoan their concentration into female ghettos, but there is no bright line beyond which one process transforms into the other (don’t get me started on “tipping points“).

But however we want to interpret the trends, we have to know the trends. So here are some, starting with updates on previous reports (degrees, sections, elections), and then some new ones (journal articles, peer reviewers).*

Degrees

The National Science Foundation reports the number and gender of PhD recipients by discipline (since 2006, earlier). This is what we get (smoothed with three-year averages): mostly more than 60% female since the late-1990s, with women accounting for most of the growth.

Sections

Sociology is a very broad discipline, including people who specialize in many distinct substantive and methodological areas. Within the American Sociological Association (ASA), we divide into 49 sections, which serve as a mechanism to organize conferences and journals, and to give awards (people can belong to as many as they want, for a small charge). The sections are pretty segregated by gender. Here are the gender compositions of each, from Sex and Gender (86% female) to Mathematical Sociology (22%):

Elections

The ASA leadership is elected in annual balloting by the membership, which is open to anyone who wants to join as long as they claim some affiliation with the discipline (the price ranges from $51 for students to $377 for people with incomes over $150,000). The association elected its first president in 1906, its first woman in 1952 and its second woman in 1973. In the last 10 years 7 of the presidents have been women.

Is the shift toward women presidents because there are more women in the association, or in the hierarchy of the association, or because of the preference of the membership? The president, along with all the other elected officers, are selected for the ballot by a nominations committee. In recent years it has become conventional wisdom that men usually lose to women in these elections because ASA members vote for a woman if they don’t have a strong preference between candidates, but I don’t know how well-founded that perception is.

Here is the gender of candidates for top positions (president, vice president, secretary, and council members), and the gender of the winners, from 2007 to 2018. Note that in the last three years they have nominated fewer women, but except for 2016 the membership has voted for more women (with 2018 being having the widest gap yet):

Papers

I’ve only done a little of this, but here is a quick look at the gender of authors in two of the highest-status sociology journals for the last several years. American Sociological Review (an ASA journal published by Sage), and American Journal of Sociology (an independent journal published by University of Chicago), 35% of authors in the last 11 issues have been women (by my assessment, regular articles only)

Someone could easily do a much more serious assessment of gender in sociology journal authorship.

Reviewers

For the last few months I have been working on peer review in sociology and the social sciences — how it works, how it doesn’t, and how it might be improved. (Here are slides from a talk I gave, with Micah Altman at MIT). One of my concerns about peer review is its general lack of accountability; no one supervises the process, generally, as the only person who knows everything at a journal is the editor, and the only thing the public sees is the published outcome. And yet publication peer review determines all manner of statuses in academia.

Looking for externally accessible data that might shine a light on the process, I checked for reviewer acknowledgement lists, which some journals publish at the end of a volume (lots of journals don’t apparently, including Social Forces, Sociological Methods and Research, Social Science Research, Sociological Forum, Sociological Theory, Work & Occupations, Social Currents, and Mobilization.) I used the genderize.io API to count the genders of the reviewers, using 80% confidence for the first pass, and then personally checking or Googling other names (I didn’t do all the names, but almost).

The reviewer gender shares are a little higher for ASR and AJS than they were for authors, with the former having somewhat more women. Publication in one of these two journals is the probably most important gatekeeping mechanism to the upper echelons of the discipline. The methods journal has the lowest representation of women, the gender journal as the highest. Unknown here is the proportion of women among the pool of reviewers solicited by the editors.

So, that’s my report.

* These data all treat gender as sex as binary, either because the data were reported that way, or because I coded them from names. I don’t address race, ethnicity, or other traits for the same reason.

Visiting Israel, with demography (this is not sustainable edition)

With audio, and photographs!

Israel’s trajectory is unsustainable in more ways than one.

The political situation is not the subject of this post, but it’s necessary to say at the beginning that the oppression of Palestinians by the state of Israel, made possible by the United States, is morally unacceptable and relative to all the other national oppression in the world rates pretty bad. For that reason, although I don’t endorse the movement for academics to boycott Israel, I oppose the movement to censor it.

So, last month I went to Israel for the first time since 1979. Since this is a blog I can include both academic and personal observations from that visit.

The Shuk Market, Jerusalem, on Friday afternoon (photo pnc: https://flic.kr/p/23AxGdJ)

Demography

The workshop I was invited to attend was a joint effort of colleagues at the University of Maryland and Tel Aviv University, with the Israel Forum for Population, Environment, and Society, called “Interdisciplinary Perspectives on Culture and Sustainable Population Dynamics.” The main organizers were Alon Tal and Michele Gelfand. Tal has written a very good book called, The Land Is Full: Addressing Overpopulation in Israel, which is both a demographic history and an ecological analysis, from which I learned a lot.

I’m not expert on the ecological stuff, but the demography is quite shocking on its own. (In the demography here, unless noted I’m talking about Israel within its pre-1967 borders, which is now most of these statistics are reported.) Israel is very densely populated, although everyone I talked to (besides demographers) was surprised to hear it. That may be because when you travel outward from the cities, it quickly looks like barren countryside — it’s just that the empty countryside doesn’t go on very far before you get to the sea or a border.

The population of about 1 million in 1950 is now almost 9 million, having doubled in the past 30 years. This figure shows the population density of countries with 5 million or greater population in 2016, with select countries labeled using World Bank codes and those with populations over 100 million circled. The 1986 density is on the x-axis and the 2016 density is on the y-axis, so to distance above the diagonal is the increase. That’s Israel way up at 200, 400 (click to enlarge).

The rapid rise in population density in Israel will invariably exacerbate their problems with water, energy, transportation, housing, habitats, pollution, and — of course — politics. These are all pretty bad problems, which Tal explains at length.

Contrary to popular belief, since the wave of ex-USSR immigrants in the early 1990s, most of the population growth has been from births, not immigration. And contrary to other popular beliefs, the growth is now — and increasingly — driven not by the Arab or Muslim populations but by the so-called Ultra Orthodox or Haredi population. (Here I cite a paper by Barbara Okun, but we also heard from demographers Eliahu Ben Moshe and Ameed Saabneh, whose presentations I do not have to share.) This figure from Tal’s book shows the Jewish/Arab breakdown. Where in 1997 there were about 2.3 Jewish births for each Arab birth, in 2013 it was more than 3-to-1:

Overall, Arab and Muslim fertility have fallen a lot, and Jewish fertility has not (most but not all Arabs are Muslim; some Jews have Arab ancestry, but they don’t count as Arab). Here are the overall trends, using completed fertility by birth cohorts, from this paper by Barbara Okun:

The Arab/Muslim trend looks like a lot of poor countries, while the Jewish and total trends (Israel is about 80% Jewish) does not look like a lot of rich countries. As a result, Israel has the highest birth rate of all OECD countries, by a lot, and it’s now rising (runner-up Mexico shown for comparison):

Why is Israel’s birth rate rising? Increasingly, because of the Ultra-Orthodox population, among whom the most recent cohorts to reach age 40 have averaged about 7 children per woman:

Right now the Haredi population are 13% of the total Jewish population. Not-that-long story short, the Haredi will be the majority of Israeli Jews pretty soon (maybe 50 years). And because of population momentum (the next generation’s parents are already born), that is likely almost no matter what else happens.

As Ben Moshe pointed out, this process of rising ultra-orthodox dominance may be accelerated if the “secular” Jews (two-thirds of whom think having a religious wedding is “very important,” and 38% of whom fast on Yom Kippur) reduce their fertility rates to something more like the European norm. If that happens, it won’t do much to slow Israel’s population growth, but it will change the composition of the population. The math of this is pretty dramatic.

Postmodern premodernism. She wears a fashionable wig, he wears an old European-style hat and coat, the baby (girl, just guessing) wears pink. (photo pnc: https://flic.kr/p/24BvW9C)

The idea of a policy to reduce birth rates — that is, Jewish birth rates — in Israel is so far a complete political non-starter. Even among secular Jews, Ben Moshe reports, 80% say they would like to have three children or more. State policy is very pro-natal. The national health insurance pays for unlimited IVF cycles, and Israel has more than 10-times as many IVF treatments per capita as the US does, and more than twice as many as the next highest country (as Daphna Carmeli reported). Same-sex couples can’t marry or adopt children, but they can produce and parent them with IVF or through surrogacy. Abortion is technically legal but discouraged. The state pays monthly child subsidies for each kid, and provides child care from age 3.

The Haredi population, which plays a pivotal role in the country’s parliamentary coalition, controls their own state-funded school curriculum, and they are exempt from the mandatory military service that most other Jews are required to perform. In addition to fostering resentment among the non-orthodox, this also means they get started on their childbearing earlier, since they don’t have military time after high school. Of course, these are not biologically distinct populations, and people can move in and out of the groups, but thus far the Haredi population is not experiencing much intergenerational defection, partly because of the institutional supports they have from the state.

Remarks

Anyway, I had the chance at the workshop to offer remarks, which I present in edited form here, in a 15-minute audio clip.

One part is was a warning about “population policy” from Puerto Rico and China. And I commented on gender inequality, saying, “It’s indelicate to walk into a place and say that. On the other hand, if we look at the history of extremely high-fertility, very religiously-oriented, patriarchal societies, that’s what they are,” and talked about how education affects birth rates:

It’s one thing to increase an individual woman’s education and then see that she is less likely to have more children. But you’re not increasing her education when she’s 18, you’re increasing her educational opportunity when she’s 18, or her vision for herself 20 years in the future that’s going to change her behavior at age 18. If you say to an 18-year-old, “You live in a society where everybody goes to college, and women have good jobs when they come out,” then her behavior at age 18 is much less likely to be marriage and children right then. It’s more likely to be, “I will pursue this education, and then I’ll be in a better position to pursue my career, to bargain from a better position in terms of choosing a spouse,” and the behavior follows from that knowledge of the future.

Also some comments on the border situation, where I said, in a very roundabout way:

I think it’s interesting for the discussion of why do the secular Israel Jews still have such non-European fertility levels, and it partly is the context. Maybe it’s how religious were their parents, or their other relatives or their siblings, or maybe it’s their city or the culture they were brought up in in some way, or the policies of their government, but it’s also — in terms of the war and ethnic conflict — it may have to do with the political or ethnic or perceived national threat. And so in my idealistic world when we open all the borders, one source of conflict is actually reduced, and the people’s behavior is changed.

Here’s the talk:

There was a writeup on the workshop in the Jerusalem Post, here, which includes more from Alon Tal.

Entering the Western Wall Jewish area of the Old City in Jerusalem. (photo pnc: https://flic.kr/p/23AxGdJ)

Visiting Israel

As far as I’m concerned I’ve always been White in America, which is the dominant status. But once in a while being Jewish makes me feel I’m down a peg. Or even sometimes, for a fleeting minute, as the Nazis on Twitter like to tell me, that I’m not really White. Funny thing about being in Israel, for me, was that it felt kind of like being really White in America. My people were on top, as they usually are, but a little more specifically. Surprisingly, perhaps, this felt less morally compromising than I expected, at least in comparison to how I normally feel in America. It also reinforced my growing sense of Jewish as ethnicity rather than religion in the US context (I’m an atheist), which has of course been exacerbated by the current pro-Nazi regime and anti-Semitic attacks I get on Twitter since Trump took power.

Being a Jewish-American (the ethnic term) anti-Trump person on Twitter is odd. One of the weirder things I did not predict, but which I see very often, is the gotcha thing the anti-Semites give me when I speak out against Trump on xenophobia and the Mexican-border wall. For example, these are tweets I got from people I don’t know in response to posting this photo essay on the border wall in Contexts, without mentioning Israel.

Contrary to popular belief among Nazis, some Jews don’t support Israeli apartheid. (I wrote a post comparing the Israel/Palestine and US/Mexico borders, here.) Anyway, on top of that, I have family members in Israel whom I dearly love. And on top of that, some of those family members are Jews with whom I have the most in common about Israeli politics (and some, not much at all). So, it’s complicated.

On the bus in Jerusalem. (photo pnc: https://flic.kr/p/GxAkrE) Also on the bus was a sign that read: “Anyone may sit anywhere (except places marked for disabled people). Harassment of a passenger on this matter may be a criminal offense.” This was to stop ulta-orthodox men from forcing women to sit in the back of the bus, and represented a victory for feminists.

Of course, the closer you look the more “nuanced” things become. To Haredi folks, for example, there are large, vital differences between different Haredi communities, that you or I would probably find hard to discern. And for another example, there are a lot of negative attitudes toward the Haredi people from some secular Jews in Israel, for living off government benefits, not serving in the military, not letting the buses run on Saturday, and subjugating women. And sometimes, maybe just because I’m more defensive about anti-Semitism these days, those attitudes have a slight anti-Semitic aftertaste. So they are simultaneously the “most” Jewish people in a “Jewish state,” with outsized political and cultural influence, but also something like a disparaged minority.

Anyways, I have no conclusion.

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These photos, and others from the trip, are on Flickr under Creative Commons license: https://flic.kr/s/aHsmeU5n6s.

A miracle of wrong: Hanna Rosin error reborn in Mark Regnerus book

I’ve been working on my review of Mark Regnerus’s new book, Cheap Sex, in 10-minute power bursts. Here’s one funny thing I noticed: Hanna Rosin’s most prominent error from The End of Men apparently repeated telephone-style by Regnerus.*

In the Atlantic article, which led to her TED Talk and then book (full review), The End of Men, Hanna Rosin’s editor chose two dramatic statements that were wrong to lead with:

That year, 2010, women were not the majority of the workforce, and most managers were not women. And they still aren’t. What was true was that for 10 months women outnumbered men in what the Bureau of Labor Statistics reports as the “nonfarm payroll,” from June 2009 to March 2010. In every month before and since, men have been the majority. Here’s that trend, by month:

The nonfarm payroll number is:

a measure of the number of U.S. workers in the economy that excludes proprietors, private household employees, unpaid volunteers, farm employees, and the unincorporated self-employed. This measure accounts for approximately 80 percent of the workers who contribute to Gross Domestic Product.

It’s not “the workforce,” but it is a good indicator of shocks to the economy — private companies may lay people off immediately, while self-employed people still consider themselves employed even if they’re suddenly losing money.  Anyway, in the BLS’s household survey that asks people if they are working, the Current Population Survey, there were about 10 million more people counted as employed, and men’s majority have never been threatened. This is a reasonably called “the workforce.” Note the time trend here is longer, and it’s annual:

The source of the wrong statement about managers is just Rosin combining managerial and professional specialty jobs into “managers,” which she also did in the TED Talk, which is just wrong. Professionals include a lot of women, like nurses and teachers. The managerial occupations have never been majority-female either. Both are important, but only one fit her narrative.

Anyway, the point of this is that Mark Regnerus picked up this meme — which Rosin popularized but lots of other media repeated — and stated it as current fact in his 2017 book. So powerful (among those not powerfully applying themselves) is the idea of automatic gender progress in one direction, that this is not the kind of thing they think they will ever have to check again. Once women pass a milestone, it’s passed, period. (That’s why Rosin’s full sentence was this: “Earlier this year, for the first time in American history, the balance of the workforce tipped toward women, who now hold a majority of the nation’s jobs.” She was misapplying the clickbait concept of “tipping point” to imply that the change will now continue and accelerate in the same direction.)

This is why Regnerus apparently felt no need to recheck his facts when he wrote, “there are now more women than men in the paid labor force.” He didn’t cite Rosin (or anyone) for this fact, but it appears during a passage sandwiched between parts that cite her book, so I assume that’s what he was borrowing from, and maybe just changed “workforce” to “paid labor force” to sound different or sophisticated.

Anyway, Rosin doesn’t feature prominently in the Regnerus review (you’re welcome), but this was an interesting nugget, because for all their differences, there are some similarities between Regnerus’s fanatical religious anti-feminism and Rosin’s sophisticated postfeminist antifeminism. Both think feminism has gone too far, and both see the rise of women as resulting from a technological change — Rosin from deindustrialization and Regnerus from the Pill. Also, they both use facts not to learn from but to demonstrate things they think they already know.

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* To read the whole Regnerus story, follow his tag on the blog, or check out the whole story told in one chapter of my new book, Enduring Bonds: Inequality, Marriage, Parenting, and Everything Else That Makes Families Great and Terrible.

The amazing lack of gender progress in Hollywood, Weinstein and not

With gender and Hollywood in the news because of the Harvey Weinstein revelations, I haven’t seen anyone count up the women who produced his movies. I counted off every tenth movie from his 300 or so producer credits on IMDB, and eyeballed their names (or images) for gender. The result: 23% of 373 producers were women.* (Some have a lot of producers, but if you use movies as the unit of analysis the average is also 23%.)

Here is the breakdown of these 30 movies, by decade:

Weinstein seems to be right in line with the industry on this. (With a range of 5 to 70 producers listed, none had more than 50% female producer teams.) Producer jobs are the most gender integrated of the major behind-the-scenes leadership positions in Hollywood movies, as reported by the Center for the Study of Women in Television and Film. And, like the other major positions, in his movies and in general, there is zero movement toward gender integration in the last two decades.

In turn, Hollywood looks a lot like the economy in general, which also shows basically no progress on integrating women into leadership positions over the last two decades. Here is percent female among those employed in managerial occupations (using the IPUMS occ1990 coding scheme for consistency):

Putting women in top leadership positions is not a panacea for gender inequality. But for the sexual harassment situation I am quite sure it would help a lot. Harvey Weinstein’s sex crimes may or may not have been an open secret in Hollywood, but the lack of women in positions across the industry, and the economy, is plain for all to see — and to act on, if they choose.

For other posts on movies, mostly having to do with gender, follow the movie tag.

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* If someone wants to code all of his movies I’ll happily update this. Here’s the list I generated:

	Year	Men	Women	Percent Female
The Burning	1981	5	0	0.00
The Pope Must Diet	1991	7	1	0.13
Pulp Fiction	1994	6	1	0.14
Jane Eyre	1996	6	2	0.25
I’m Crazy About Iris Blond	1996	4	1	0.20
Cop Land	1997	8	2	0.20
Wide Awake	1998	6	2	0.25
Talk of Angels	1998	3	3	0.50
In Too Deep	1999	6	1	0.14
About Adam	2000	4	4	0.50
Backstage	2000	7	3	0.30
Mimic 2	2001	5	1	0.17
Heaven	2002	10	5	0.33
Chicago	2002	8	3	0.27
Bad Santa	2003	7	1	0.13
Finding Neverland	2004	6	3	0.33
The Brothers Grimm	2005	11	0	0.00
Scary Movie 4	2006	5	2	0.29
Death Proof	2007	6	4	0.40
The Great Debaters	2007	6	4	0.40
The Meerkats	2008	7	1	0.13
Halloween II	2009	10	1	0.09
The King’s Speech	2010	14	1	0.07
I Don’t Know How She Does It	2011	5	4	0.44
Escape from Planet Earth	2013	13	3	0.19
Lee Daniels’ The Butler	2013	31	10	0.24
Suite Francais	2014	8	4	0.33
Regression	2015	13	2	0.13
Wild Oats	2016	54	16	0.23
The Upside	2017	7	0	0.00
	Total	288	85	0.23

Women’s Equality Day earnings data stuff and suffrage note

Tomorrow is Women’s Equality Day, which commemorates the day, in 1920, when U.S. women were granted the right to vote. (Asterisk: White women.)

One historical story

Congress finally passed a Constitutional amendment for women’s suffrage in 1918, after decades of activism. The suffrage movement in the end successfully made a few convincing arguments – and one clarification. The most important may have been that White women had proved their patriotism during the war, and so they finally deserved the vote. I wrote in 1996:

“No one thing connected with the war is of more importance at this time than meeting the reasonable demand of millions of patriotic and Christian women of the Nation that the amendment for woman suffrage be submitted to the states,” declared Representative James Cantrill. And, he added, “Right, justice, liberty and democracy have always been, and will always be, safe in the tender care of American womanhood.”

And you know what he meant by “American womanhood” (an image the mainstream suffrage movement encouraged to various degrees over the years):

American Progress, by John Gast (1872)

The important clarification was that women’s suffrage would absolutely not hurt White supremacy in the South. You know how it is when you just need that Southern vote. I went on:

If reluctant congressmen would only believe in the contribution of white women that was waiting to be made, suffrage advocates explained, the political math was irresistible. “There are more white women of voting age in the South to-day than there are negro men and women together,” [Congress’s only woman, Jeannette] Rankin said. Representative Scott Ferris assured them that poll taxes and literacy tests would remain untouched, so that “for every negro woman so enfranchised there will be hundreds and thousands of intelligent white women enfranchised” (Congressional Record 1918, 779). And Representative Thomas Blanton proclaimed, “So far as State rights are concerned, if this amendment sought to take away from any State the right of fixing the qualifications of its voters, I would be against it first, last, and all the time, but such it does not.” Although states should be allowed to set qualifications for voting, he believed, they could not do so at the expense of undermining true republicanism, and, “if you deny the 14,000,000 white women of this country the right to vote, you are interfering with a republican form of government [Applause]” (786). That day, the House passed the amendment with the required two-thirds vote.

Anyway, rights are rights, America is America, history is history (ha ha).

Some pay gap numbers

Back to nowadays. Today’s numbers come from some analysis of the gender earnings gap I did to support the Council on Contemporary Families brief for Women’s Equality Day. One big story is women’s rising education levels, especially BA completion.

In the active labor force as often described (age 25-54, working at least 20 hours per week and 26 weeks in the previous year), women surpassed men in BA completion in 2002:

That’s very good for women with regard to the earnings gap, because at every level of education men earn more than women. Women’s full-time full-year earnings are between 70% and 80% of men’s at all education levels except the highest, where they diverge: men who are doctors and lawyers earn much more than women, while women PhDs are doing relatively well. Here’s the 2015 breakdown by education:

With the education trend and differentials in mind, consider these multivariate model results. Going back to the sample of 25-54-year-old people working at least half-time and half the year, here are two results. The first line, in blue, shows the gender earnings ratio when only age is controlled. It shows women gaining on men from 2000 to 2016, from 77% to 83%. This is not much progress for 25 years, but it’s the slow pace we’ve come to expect during that time. The other line shows result from a more complete model, which adds controls for education, race/ethnicity, marital status, and presence of children; it shows even less progress.

In the full model (orange line) the relative gains for women are not as great. (Note I don’t include occupation in the “full” model although that’s very important; it’s just also an outcome of gender so I let it be in the gender variable for descriptive purposes.)

In the old days, when women had less education than men, controlling for education shrank the gap; now it appears the opposite is true. I haven’t done the whole decomposition to confirm this, but here’s another way to look at it. The next figure shows the same models, but in two separate samples, with and without BA degrees (and no control for education). The figure shows little progress within education groups. This implies it’s the increase in education for women that is driving the progress seen in the previous figure.

In conclusion: there is a substantial gender earnings gap at every level of education. The limited progress toward equality we’ve seen in the past 25 years may be driven by increases in women’s education.

There is a lot of other research on this — especially about segregation, which I didn’t include here — and a lot more to be done.

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This is a little analysis, but if you’d like to do more, or see how I did what I’ve shown here, I posted the Stata code, data from IPUMS.org, codebook, and spreadsheet file on the Open Science Framework site here. You can use any of it for whatever you like, with a citation that looks like this one the OSF generates:

Cohen, P. N. (2017, August 25). Gender wage gap analysis, 1992-2016. Retrieved from osf.io/mhp3z

Kids these days really know how to throw off a narrative on gender and families

The most important thing is that Stephanie Coontz has written another very good, and very important, New York Times essay. It describes a “slippage” in support for gender equality among young people these days, and warns that without improved work-family policies, progress toward egalitarian family arrangements may be imperiled. The piece also announced a package of short papers in a Council on Contemporary Families symposium, which provided the supporting evidence. (This kind of work, incidentally, is why I’m a proud member, and board member, of CCF.) If you haven’t read Stephanie’s essay, I recommend reading it now, and if you forget to come back here that’s fine.

Anyway, an unfortunate confluence of events created some chaos after the piece came out. First, the NYTimes wrote a headline, “Do Millennial Men Want Stay-at-Home Wives?”, that emphasized only one piece of the evidence. It referred to a figure showing General Social Survey data on the trend in very young men and women (ages 18-25) disagreeing with the statement, “It is much better for everyone involved if the man is the achiever outside the home and the woman takes care of the home and family.” (That is the classic FEFAM question, to GSS fans, asked since 1977. I’ve used it myself, and it figures in the key analysis of stalled gender progress by Cotter, Hermsen, and Vanneman.)

This was the figure, showing a marked divergence between men and women:

The second event was the unfortunate timing: between the time Stephanie wrote the piece and the day it appeared, the General Social Survey released its 2016 round of data (it’s been running every two years). The survey is fickle. It’s very good quality and has many great demographic and attitude items running for 40 years, making it the best source for analyzing many social trends. But it’s not that big. In 2014 it had 2,867 respondents, of whom only 141 were ages 18-25. So it wasn’t surprising that the 2016 numbers were different from the 2014 numbers, but the scale of the blip was shocking, as reported independently by Emily Beam and Neal Caren. Here is what the updated trend looks like:

Yikes. As exciting as it is for survey analysts to see such a wild swing, it’s not what anyone wants to see the day after their NYTimes piece drops. We can’t know yet what happened, but on further inspection, at least we can say that it’s not limited to the youngest group and its small sample. Among men ages 26-54, the percentage disagreement with FEFAM also jumped, from 73.7 to 78.3 (women 26-54 were up one point).* In fact, 2014 may have been as big a blip as 2016, you just wouldn’t notice because it continued the trend.

Anyway, back for a minute to the main point. Joanna Pepin, who co-wrote one of the symposium pieces with David Cotter (and who is also an advisee of mine), has pointed out that the divergence between men and women is secondary to the main trend, which is the reversal of progress on FEFAM for both men and women since the mid-1990s. They used the Monitoring the Future survey, and find a big drop in FEFAM disagreement among high school seniors — regardless of gender. Here’s their key figure, with the FEFAM trend shown in green (their full paper is available on SocArXiv):

So that is the most important news: a big reversal among young adults on attitudes toward homemaker-breadwinner family arrangements.

Now, If you’ve now read Stephanie’s piece, and Joanna’s, and you’re back, here’s a little more on the minor kerfuffle that arose over the new data.

When to call a trend a trend

I don’t think Stephanie was wrong to use the GSS trend, although it might have been better to widen the age range, or pool the data over several years. The bigger problem was the headline selling that divergence as the main story, which it wasn’t in the grand scheme. (The fact that so many jumped on the story shows how good they are at headline writing.) But even that wasn’t really wrong, given the information they had. The Op-Ed staff checked the facts, and the facts were the facts. Until yesterday.

To confirm this, I ran some tests on the gender divergence in the data they used (I started with code that Neal shared; it’s at the bottom). I started at 1994, the last peak of the trend, to look for the divergence after that, which is what Stephanie referred to. First, here is what you get if you run a logistic model that controls for race/ethnicity and individual years of age (two things that changed over the last two decades), and enters the years individually in an interaction with gender (those are 95% confidence intervals).

If you stop at 2014, it looks like men are pulling away from women (in the direction of “traditional” attitudes), but it’s not definitive. And obviously 2016 is an issue. To help with the small samples, I ran a linear test of the year trend, that is, entering year as a continuous variable instead of individual years. I did it ended at 2014 and then through 2016. Here are the results:

In the 1994-2014 model, the Male*Year interaction is statistically significant at conventional levels, which in my opinion means it’s legit to say men were pulling away from women. Of course 2016 ruined that; if you had 2016 and didn’t use it, that would be really wrong. There are other ways to slice it, but at some point we have to call a trend a trend and deal with it. It was a reasonable decision. Of course, new data always comes along (until the last trend of all, whatever that is), no trend lasts forever; it’s just a shame when it comes along the next day. In addition, though I’m not showing it because it’s boring, if you didn’t disaggregate the trends by gender, you would also see a significant decline in FEFAM disagreement after 1994, which gets to Joanna’s point.

Anyway, score one for sociology Twitter. People came up with the data, shared code and results, and discussed interpretations. It got back to Stephanie and the NYTimes editors, and within a day they added an addendum to the original piece:

Update: After this article was posted, 2016 data from the General Social Survey became available, adding some nuance to this analysis. The latest numbers show a rebound in young men’s disagreement with the claim that male-breadwinner families are superior. The trend still confirms a rise in traditionalism among high school seniors and 18-to-25-year-olds, but the new data shows that this rise is no longer driven mainly by young men, as it was in the General Social Survey results from 1994 through 2014.

This is pretty much how it’s supposed to work. As the Car Guys used to say, if you never stall you’re wearing out your clutch (sorry, Millennials). If you never overshoot an analysis of trends you’re probably waiting too long to get the information out.

* Note: I originally accidentally described this as “over 25.” 

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You can get the data here. Here’s the STATA code:

/* recodes */

recode fefam (1/2=0) (3/4=1), gen(fefam_d)
gen young=age>=18&age<=25
recode sex (2=0), gen(male)

/* the model for the figure */

logit fefam_d i.year##i.male i.age i.race if year>=1994 & young==1 [pweight = wtssall]
margins year##male
marginsplot

/* the models for the table */

logit fefam_d c.year##i.male i.age i.race if year>=1994 & young==1 & year<=2014 [pweight = wtssall]
logit fefam_d c.year##i.male i.age i.race if year>=1994 & young==1 [pweight = wtssall]