Wilcox and colleagues plagiarized my work in the New York Times

In the New York Times yesterday, W. Bradford Wilcox, Jason S. Carroll and Laurie DeRose published an Op-Ed with the ridiculous title, “Religious Men Can Be Devoted Dads, Too.” In it they included this figure:

In 2015 I wrote a post titled, “That thing about Republican marriages being happier (isn’t true),” which included this figure:

There are trivial differences between these figures. Theirs is from the General Social Survey for 2010-2018, mine was for 2010-2014. Theirs used political views while mine used party identification. Theirs is just women, and controls for age, education, and race; mine included men and women while controlling for gender, and I also controlled for income and religious attendance. (And they used gray for the middle bar, instead of purple.) However, in a subsequent post, from 2017, I redid the analysis for the years 2012-2016, using political views instead of party identification, in a post titled, “Who’s happy in marriage? (Not just rich, White, religious men, but kind of).” The results are almost identical to theirs in the Times (on the right, here):

Did they know about my pieces? I am certain they did, though I can’t prove it. It’s relevant that my first post, “That thing about Republican marriages…” was a critique of a post by Wilcox and Nick Wolfinger, which had only reported that Republicans were slightly happier in marriage than Democrats, which they called “The Republican Advantage in Marital Satisfaction.” My post was a correction, showing the U-shape the emerged when you broke out the categories — the change Wilcox and colleagues have now adopted. My follow-up post was reported by Bloomberg (and carried in the Chicago Tribune), and the Daily Mail. Both of my posts were tweeted by popular journalists who work in this area. I expect that would claim they never noticed my little blog posts.

You also could split hairs on the definition of plagiarism to try to defend this unethical behavior. The relevant passages of the American Sociological Association Code of Ethics:

(b) In their publications, presentations, teaching, practice, and service, sociologists provide acknowledgment of and reference to the use of their own and others’ work, even if the work is paraphrased and not quoted verbatim.
(c) While sociologists utilize and build on the concepts, theories, and paradigms of others, they may not claim credit for creating such ideas and must cite the creator of such ideas where appropriate.

But no one can seriously argue they shouldn’t have referenced my work.

Wilcox has done much worse, of course, most importantly leading a conspiracy to gin up research to turn the Supreme Court against same-sex marriage and then lying about his role in that conspiracy (the subject of a chapter in my book Enduring Bonds). And this is not a very important idea (their explanation is very flimsy, and I have no real explanation or theory to explain the pattern.) But this one goes on the list somewhere.

Why?

Why do I care? Is this just petty partisanship and even jealousy because Wilcox paid himself $80,000 of right-wing foundation money in 2016, and continues to publish low-quality research in important outlets like the New York Times? Draw your own conclusions. Of course his views are noxious to me. But more than that, in the game of trust that is the research ecosystem, reputations matter a lot. Once someone is tenured, and funded by unaccountable political actors, our options for defending the system are limited. The norms of publishing, especially outside academia, don’t require research transparency (like their current report, made to order for conservative funders, not the research community or peer review). If someone says, “This is my finding,” publishers (like the Times) usually vet the researcher instead of the research. 

I don’t believe in lifetime bans, and I don’t care about atonement for research ethics. My question is, “Can we trust this person’s research?” Before we can answer that affirmatively, we need to have an accounting of past malfeasance that makes clear future work will be clean. Until then, I don’t mind spending a few minutes now and then reminding people that Wilcox (like Mark Regnerus) is not trustworthy.

The happiness scamcession

While we’re making up overwrought terms.

W. Bradford Wilcox and Lyman Stone, both fellows who are fellows at the Institute for Family Studies (still waiting for the acknowledgment for correcting their data error), have a bad new post up called “The Happiness Recession.”

I made some annotations on their essay using the excellent Hypothesis tool. Now you can read the essay with my comments here. Click on the little arrow at the top right to expand the comments. Here are the highlights, with figures.

Note: Get a free Hypothesis account and you can annotate any page on the web, including in closed groups if you want to, and you can share your Hypothesis profile so people can see all the things you’ve annotated, like mine. You can also comment on SocArXiv papers this way.

The main problem is that there is no evidence of a happiness recession. They make their case with this figure from the General Social Survey:

To people not familiar with the General Social Survey, like, apparently, whoever edited this piece at the Atlantic, that 2018 drop in happiness might look dramatic. A lot of publications are used to mentioning margins of error when they report survey results. But maybe because WilcoxStone reminded the editor in the opening paragraph that the GSS is “a key barometer of American social life,” they didn’t bother. It seems so authoritative (and it’s a great, indispensable resource, publicly funded, and freely available for all researchers). But it’s a sample survey, and it’s not that big. Here are the actual numbers of men ages 18-34 who answered the happiness question on the survey:

It’s a little funky because of the weights I’m not showing, but in round numbers, if 8 young men had said “very happy” instead of “pretty happy” in 2018, WilcoxStone wouldn’t have been able to write this article — the percentage wouldn’t have changed. So, it’s a great survey, but you have to know what you’re doing with it, and you have to be honest about it.

There are different ways to assess significance, and no one rule, but I made this figure showing the percentage of young adults describing themselves as “very happy” in each year of the survey, with a simple p<.05 significance test for whether each year is different from 2018.

The 2018 level is the lowest point estimate, but it’s not distinguishable from about half the previous survey years at conventional levels of statistical significance. Eight pretty happy men doing all the work here.

A lot of what’s ridiculous about the post follows from this simple manipulation — pretending an insignificant change is very important. One other thing was totally wrong, though.

WilcoxStone have some incoherent theory about how friendship might play a role in the happiness recession. Maybe they were expecting to see a decline in friendship, to support their get-married-in-church-and-stay-there predetermined conclusion. Anyway, they produce this wrong figure:

I say “wrong” because, although they never define “regularly,” and neither does the GSS, men in the survey spend more evenings with their friends, and nothing seems to match these numbers. Maybe you can figure it out. Here are the distributions for young men and women in 2018 — see if you can see how they could get 64% for women and 35% for men, the last points in their figure:

In response to my tweets about this, linking to the annotated post, Stone responded that they “just use a different definition of regular,” before clarifying that they “just cut it a different way,” and finally acknowledging that “maybe there was a mislabeling in that,” and promising to look into it.

Anyway, they conclude their analysis with some counterfactual models to explain the “happiness trend.” No details are provided, and definitely nothing like standard errors or significance tests (and if the friend contact variable is screwed up, it’s useless). Here are the results:

If you look carefully, you can see that the biggest difference comes from adjusting for sexual frequency — which has declined in the sample, and sexual frequency is associated with higher happiness scores. That dotted light blue line ends at 29%. And the simulations start at 28%. So, if sexual frequency were held constant, they proclaim, happiness among young adults would be a point higher. Just kidding, they don’t give the number, they just say, “If Americans still had sex like they did in 2008, or even 2012, we might be a much happier country.” OK then.

After apparently reading my annotations, Stone was effusive on Twitter, delighted that, “And I think anyone who reads his annotations will see that he basically doesn’t refute anything we say. :)”

I appreciate @familyunequal annotating our work! It’s a good form of interaction! And I think anyone who reads his annotations will see that he basically doesn’t refute anything we say. 🙂 https://t.co/UEMY2iQZPo

— Lyman Expand the House Stone, AKA 石來民 (@lymanstoneky) April 6, 2019

I guess you could say:

Anyway, see if you can figure out this conclusion:

Thus, while most of the decline in happiness [there is no decline in happiness -pnc] is about declining sex, that’s not the end of the story. Declining sex is at least partly about family and religious changes that make it harder for people to achieve stable, coupled life at a young age. If we’d like more young adults to experience the joy of sex, we will have to either revive these institutions or find new ways to kindle love in the rising generation.

Your guess is as good as mine. But if it just means go to church, get married, and then have sex, and you’ll be happy, I don’t think they needed a bologna statistical analysis to reach that.

Trust

Publications like the Atlantic put out a lot of content, much of which they get for free or low cost. A lot of that cheap material comes from academics (which Wilcox sort of is). And some comes from think tank snake oil salespeople (which Wilcox definitely is), who use their right-wing, tax-subsidized foundation money to slime the public square. It might be too much to expect that publications with little budget for writers would somehow have the ability to vet statistical analyses. So they run on trust. People like Wilcox, who has a long proven record of lying about research, and Stone, prey on the credulity of the economically precarious media. People who know better should speak up and help limit the damage.

Let’s raise the legal age of marriage in Maryland

Today I sent the following letter to the Maryland House Judiciary Committee, which is scheduled to hold a hearing on these bills tomorrow. Under current law in Maryland, marriage is permitted as young as age 15 with parental consent and evidence of pregnancy or childbirth, and age 16-17 with one or the other, and these exceptions are granted by county clerks rather than judges. By my calculations, from 2008 to 2017, based on the American Community Survey, the annual marriage rate for girls ages 15-16 was 5 per 1000 in Maryland, behind only Hawaii, Nevada, and West Virginia. HB 855 would raise the age at marriage to 18, while HB 1147 would establish an emancipated minor status, requiring review by a judge, under which 17-year-olds could marry. For more on the effort to end child marriage in the U.S., visit the Tahirih Justice Center site.

---

March 6, 2019

To the House Judiciary Committee:

I write in support of Maryland House Bill 855, concerning age requirements for marriage; and House Bill 1147, concerning the emancipation of minors.

My relevant background

• I am a Professor of Sociology, and family demographer, at the University of Maryland, College Park, where I have been on the faculty since 2012. I also earned my PhD at the University of Maryland, College Park, in 1999, and I live in Silver Spring.
• I have written two books and many peer-reviewed articles on family sociology, including on topics related to marriage and divorce, family structure, gender inequality, health and disability, infant mortality, adoption, race and ethnicity, and the division of labor.
• I have served as a consultant to the U.S. Census Bureau on the measurement of family structure, and testified before Congress on gender discrimination.

My support of the bills

In general, the rise of the age at marriage and childbearing in U.S. have been positive developments for women and children, allowing mothers to devote more years of early adulthood to education and career development, which is beneficial to both adults and their children.

Very early marriage in particular is detrimental to women’s opportunity to finish high school. More urgently, research and service work shows that very early marriage is usually unwanted, coerced, or forced. Very young women should not be expected to protect themselves legally or socially from such impositions, which are usually from older men and dominant family members. Very early marriage often follows statutory rape or other sexual assault, compounding rather than mitigating the harms of these crimes against children. Rather than protect a young woman, very early marriage instead provides protection from scrutiny for her abuser(s), and makes state intervention on her behalf all the more difficult to accomplish in the following years. The privacy and discretion we bestow upon families has benefits, of course, but it also makes the family a dangerous place for the victims of abuse.

Research, including my own, unequivocally shows that very early marriage leads to the highest rates of divorce. I have written several papers on divorce rates in the United States (see references). For illustration, here I used the same method of analysis, and present only the relationship between age at marriage and incidence of divorce. As you can see from the figure, divorce rates are highest by far – estimated at 2.5% per year – for women who married before age 18. This is about twice as high as divorce rates for those who marry in their 30s, for example. (These estimates hold constant other factors; data and code are available here.) The evidence is very strong.

I only reluctantly support increasing state restrictions on women’s freedom with regard to family choices, but in the case of marriage before adulthood I see the restriction as a protection from the exploitative behavior of others, rather than an imposition on young women’s rights.

At present in Maryland, exceptions allowing marriage before age 18 – based on pregnancy and/or parental consent – are granted without adequate legal review. Together, HB 855 and HB 1147 would set the minimum age at marriage in Maryland to 18, with an exception only for court emancipated minors of age 17. This would improve the state’s protection of young women from unwanted, coerced, forced, or ill-advised marriages without unduly restricting the freedom to marry for younger women (age 17), who may be emancipated by a court after a direct application and careful review of circumstances.

I urge your support for these bills. I would be happy to provide further information or testimony at your request.

Sincerely,

Philip N. Cohen

References

Cohen, Philip N. 2015. “Recession and Divorce in the United States, 2008-2011. Population Research and Policy Review 33(5):615-628.

Cohen, Philip N. 2018. “The Coming Divorce Decline.” SocArXiv. November 14. https://osf.io/preprints/socarxiv/h2sk6. To be presented at the Population Association of America meetings, 2019.

Appearance on Fox News Channel explained

Recently I was invited to be interviewed by Fox News Channel for “a series of stories about changing demographics and how they’re impacting politics, policy, and our culture.” Specifically, the producer said they wanted to interview me about “your recent research on millennials and marriage and divorce rates.”

This raised the recurring question faced by responsible academics: Should I appear on Fox News? For those of us who love attention, it’s hard to say no, but I did consider saying no. I figured the segment would be a right-slanted take, but also hoped that since it was for a news program, rather than an opinion program, it might be moored to reality, and I thought I might have a chance to interject something useful, or at least true. (This differs from my previous appearance, with Tucker Carlson.) Whether to differentiate at all between news and opinion on FNC is an interesting question in itself.

So I did it, and it aired yesterday. Since I lent it legitimacy I should also correct the errors they made. Comments below the video:

Here are some comments and corrections. First, the beginning is just a fear-of-change narrative:

“As we head into 2019 you may look back and think about how much has changed, not just in the past year, but in your life. And it’s not just you. America’s population, our culture, it is all changing.”

It’s setting viewers up for doom, where change is ominous out of control, the audience tearing down that precedes the build up of the authoritarian leader. Anyway, that’s to be expected, along with the boilerplate right-wing statements about marriage, women, welfare, and single mothers, which I won’t detail here.

They never did ask me about my research on marriage and divorce, but we did talk about fertility. So then he says:

“The US is facing a demographic crisis that JFK could not have imagined: A fertility rate of 1.8 percent. That means the US is not producing enough to sustain its population.”

Don’t ask what JFK has to do with this. But the fertility rate is not “1.8 percent,” it’s 1.8 projected births per woman, and it’s not a demographic crisis.

In the interview, I tried to focus on inequality and insecurity in every answer, figuring that was the angle they might let into the piece. This is what they ended up using:

“The reasons behind these demographic changes are complicated. [Philip Cohen:] One of the reasons people have fewer children is because they’re unsure about the future. They’re unsure about the costs of raising those children, especially the costs of education. And the student loan debt is a huge crisis that everybody knows about.”

I’m happy with this, a true statement, not distorted or taken out of context. The chyron they put below me is bad, however: “Lower U.S. Fertility Rates Creating Society Upheaval.” “Upheaval” is a strong word, but in any event the causality is reversed: social instability is driving lower U.S. fertility rates. Whatever effects falling fertility will have on society, they’re not here yet anyway.

Then immigration:

“The US is compensating for lower fertility rates with another demographic change: an increased reliance on immigration.”

The US doesn’t exactly have a policy of responding to falling fertility by welcoming immigrants. But it’s true that immigration is buttressing the US from the potential effects of slower population growth. In the last 25 years the immigrant share of the labor force has increased from 12 percent to 19 percent. That is pretty clearly the solution — if we need one — to falling population growth. But this quote from Victor Davis Hanson, Hoover Institution is ridiculous:

“In the case of the right, they want people to work more cheaply than native-born citizens. And on the left they want a further argument, or an agenda for big government.”

It’s true the right wants immigrants to help keep labor costs down. The idea that the left wants immigrants to bolster the argument for big government is just idiotic. This is creating a narrative where the system/swamp/Washington is destroying the culture.

Finally, the conclusion brings it back to fear of change:

“These demographic changes help to partly explain the resurgence of socialism in the United States. A Gallup poll from August found that young adult Americans are more positive about socialism – 51 percent – than they are about capitalism – 45 percent. That’s a 12-point swing in only two years.”

I have no idea how you connect “these demographic changes” to the (excellent) rise in positive perceptions about socialism. But the 12-point change in two years was only in young adults’ (age 18-29) attitudes toward capitalism. During that time their attitude toward socialism declined as well, so the gap went from -2 to +6, or an eight-point swing. Here’s the trend from Gallup:

In conclusion, I got to say something I wanted to say, and it added something to the piece they wouldn’t otherwise have included. Whether that makes it worth participating in this I can’t say.

The segment above was the first of three. I discuss the other two here.

Equal-education and wife-more-education married couples don’t have sex less often

In my review of Mark Regnerus’s book, Cheap Sex, I wrote: “The book is an extended rant on the theme, ‘Why buy the cow when you can get the milk for free?’ wrapped in a misogynist theory about sexual exchange masquerading as economics, and motivated by the author’s misogynist religious and political views.”

Someone just reposted an old book-rehash essay of Regnerus’s called, “The Death of Eros.” In it he links to my post documenting the decline in sexual frequency among married couples in the General Social Survey. In marriage, Regnerus writes, “equality is the enemy of eros,” before selectively characterizing some research about the relationship between housework and sex. (Here’s a recent analysis finding egalitarian couples don’t have sex less.)

But I realized I never looked at sexual frequency in married couples by the relative education of the spouses, which is available in the GSS. So here’s a quick take: Married man-woman couples in which the wife has equal or more education don’t have sex less frequently.

I modeled sexual frequency (an interval scale from “not at all” = 0 to “4+ times per week” = 6 as a function of age, age-squared, respondent education, respondent sex, decade, and relative education (wife has lower degree, wife has same degree, wife has higher degree). The result is in this figure. Note the means are between 3 (“2-3 times per month”) and 4 (“weekly”). Stata code for GSS below.

OK, that’s it. Here’s the code (I prettied the figure a little by hand afterwards):

*keep married people
keep if marital==1

* with non-missing own and spouse education
keep if spdeg<4 & degree<4
recode age (18/29=18) (30/39=30) (40/49=40) (50/59=50) (60/109=60), gen(agecat)
recode year (1970/1979=1970) (1980/1989=1980) (1990/1999=1990) (2000/2008=2000) (2010/2016=2010), gen(decade)
gen erosdead = spdeg>degree
gen equal=spdeg==degree

gen eros=0
replace eros=1 if spdeg<degree & sex==1
replace eros=2 if spdeg==degree
replace eros=3 if spdeg>degree & sex==1

replace eros=1 if spdeg>degree & sex==2
replace eros=3 if spdeg<degree & sex==2

label define de 1 "wife less"
label define de 2 "equal", add
label define de 3 "wife more", add
label values eros de

reg sexfreq i.sex i.agecat i.decade i.degree i.eros [weight=wtssall]
reg sexfreq i.sex c.age##c.age i.degree i.eros##i.decade [weight=wtssall]
margins i.eros##i.decade
marginsplot, recast(bar) by(decade)

Note: On 25 Dec 2018 I fixed a coding error and replaced the figure; the results are the same.

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.

Decadally-biased marriage recall in the American Community Survey

Do people forget when they got married?

In demography, there is a well-known phenomenon known as age-heaping, in which people round off their ages, or misremember them, and report them as numbers ending in 0 or 5. We have a measure, known as Whipple’s index, that estimates the extent to which this is occurring in a given dataset. To calculate this you take the number of people between ages 23 and 62 (inclusive), and compare it to five-times the number of those whose ages end in 0 or 5 (25, 30 … 60), so there are five-times as many total years as 0 and 5 years.

If the ratio of 0/5s to the total is less than 105, that’s “highly accurate” by the United Nations standard, a ratio 105 to 110 is “fairly accurate,” and in the range 110 to 125 age data should be considered “approximate.”

I previously showed that the American Community Survey’s (ACS) public use file has a Whipple index of 104, which is not so good for a major government survey in a rich country. The heaping in ACS apparently came from people who didn’t respond to email or mail questionnaires and had to be interviewed by Census Bureau staff by phone or in person. I’m not sure what you can do about that.

What about marriage?

The ACS has a great data on marriage and marital events, which I have used to analyze divorce trends, among other things. Key to the analysis of divorce patterns is the question, “When was this person last married?” (YRMARR) Recorded as a year date, this allows the analyst to take into account the duration of marriage preceding divorce or widowhood, the birth of children, and so on. It’s very important and useful information.

Unfortunately, it may also have an accuracy problem.

I used the ACS public use files made available by IPUMS.org, combining all years 2008-2017, the years they have included the variable YRMARR. The figure shows the number of people reported to have last married in each year from 1936 to 2015. The decadal years are highlighted in black. (The dropoff at the end is because I included surveys earlier than those years.)

Yikes! That looks like some decadal marriage year heaping. Note I didn’t highlight the years ending in 5, because those didn’t seem to be heaped upon.

To describe this phenomenon, I hereby invent the Decadally-Biased Marriage Recall index, or DBMR. This is 10-times the number of people married in years ending in 0, divided by the number of people married in all years (starting with a 6-year and ending with a 5-year). The ratio is multiplied by 100 to make it comparable to the Whipple index.

The DBMR for this figure (years 1936-2015) is 110.8. So there are 1.108-times as many people in those decadal years as you would expect from a continuous year function.

Maybe people really do get married more in decadal years. I was surprised to see a large heap at 2000, which is very recent so you might think there was good recall for those weddings. Maybe people got married that year because of the millennium hoopla. When you end the series at 1995, however, the DBMR is still 110.6. So maybe some people who would have gotten married at the end of 1999 waited till New Years day or something, or rushed to marry on New Year’s Eve 2000, but that’s not the issue.

Maybe this has to do with who is answering the survey. Do you know what year your parents got married? If you answered the survey for your household, and someone else lives with you, you might round off. This is worth pursuing. I restricted the sample to just those who were householders (the person in whose name the home is owned or rented), and still got a DBMR of 110.7. But that might not be the best test.

Another possibility is that people who started living together before they were married — which is most Americans these days — don’t answer YRMARR with their legal marriage date, but some rounded-off cohabitation date. I don’t know how to test that.

Anyway, something to think about.