Lyman Stone 石來民 🦬🦬🦬 Profile picture
Sep 8, 2023 24 tweets 5 min read Read on X
This piece at @WorksInProgMag on the sources of the baby boom is fascinating, but, I think, incorrect, or at least quite incomplete.

They argue that technology innovation (washing machines, antibiotics) caused the baby boom. This, I think, is wrong. worksinprogress.co/issue/understa…
To start with, note that there are some cases where antibiotics definitely DID cause baby booms. Mongolia under the Soviet antibiotic revolution is a paradigmatic case: demographic-research.org/articles/volum…
In Mongolia's case, widespread venereal disease caused widespread childlessness. Antibiotics fixed the venereal disease, fertility jumped up. Straightforward story, I don't think anybody really contests this at this point in time.
But is that what happened in America?

To some extent, yes! Syphillis case incidence fell DRAMATICALLY 1943-2000.
cdc.gov/std/statistics…
However, syphilis incidence actually *rose* 1941-1943. Here's Massachusetts share of deaths of syphilis 1842-2000. As you can see, there was a big INCREASE in syphilis deaths deaths 1934-1943, the EXACT PERIOD the baby boom was kicking off. Image
Had a long interruption, back now!

So, it doesn't *seem* to me like antibiotic prevalence in the US increased before/during the baby boom kickoff. It looks like they really got going *after* the kickoff. Maybe made it a bigger boom, but didn't launch it.
Moreover, their specific argument is that maternal mortality fell more in STATES with bigger baby booms.

Okay, more-or-less true.

But it doesn't hold up across countries. A lot of countries with much bigger declines in maternal mortality had smaller baby booms.
Within demography generally one observed fact has been that Baby Boom Size is proportional to Time Since Transition; i.e. booms were smaller and later in countries with more RECENT fertility transitions. This empirical trend has invited culturalist accounts.
Basically the argument being something cultural motivated a baby boom, but places with recent memories of undesirably high fertility were less responsive to that ideational shock.

I don't necessarily buy it, but it's a better cross-country explanation than the antibiotic story.
Now, a key piece of evidence marshalled is that Amish fertility 1930-1960 follows a similar general trend as non-Amish, and the Amish shared in the antibiotic revolution despite general primitivism.

But this evidence is actually unconvincing, because....
I've done a lot of work on Amish demography and, spoiler, Amish fertility rates boom/bust in tandem with general American fertility rates throughout the 20th century, even in the last 20 years.
Also, I want to empirically contest the "Amish baby boom" argument in general. There's considerable debate on this, but the best evidence is maybe a gradual increase across the 1900-1950 Amish birth cohorts, not a baby boom like we see for non-Amish.
More generally, the best quasi-experimental evidence we have ACTUALLY links household appliances to women's work outside the home, NOT fertility. Families bought appliances as part of the transition into the workforce for women. sciencedirect.com/science/articl…
While some people used their washing machines to subsidize more babies, saw the potential to buy household chore completion at a suddenly much cheaper rate as a good reason for the wife to enter the workforce which, spoiler, is not typically pronatal.
What we actually know is that by reducing labor demand at home by automating home tasks, households shifted into non-home labor, NOT expanding the scope of at-home tasks.
In general, I think this piece involves a lot of hopeful thinking about technology, and relies on a lot of now-somewhat-dated publications that over time have not so much been shown to be wrong, but have been shown to be incomplete.
Now the one explanation offered that I 100% buy is the housing one. The Baby Boom absolutely was coextensive and pretty well explained by massive shocks to housing supply and to corresponding household formation. And we have solid empirical evidence of housing-fertility links...
... across innumerable countries, timespans, variables to model housing, etc. Housing is clearly an intimate part of fertility, as literally everybody knows, and the huge postwar housing boom definitely caused part of the Baby Boom. Postwar housing was not just abundant but good!
A lot of people who grew up in housing stock built 1870-1910, i.e. before widespread electrification and universal indoor plumbing, suddenly could suddenly buy houses that are still quality-competitive *today*. It wasn't just housing unit numbers, it was unit size and quality.
The new houses were bigger and better, whole new residential concepts (the car-centric suburban neighborhood!) almost instantaneously became dominant in many places. This was indisputably pronatal.
Finally, besides housing, my personally preferred Baby Boom explanation is this one from @BastienCF @gobbi_paula which suggests cohort accumulated experiences of economic *volatility* impact risk preferences and thus fertility. drive.google.com/file/d/1_aSX9i…
I like this explanation because 1) in efforts to replicate it in other contexts ex-US it has seemed to me to be a pretty good fit, even in contemporary cohorts, 2) it has very clear microfoundations that are well-supported in demography in terms of fertility motivations
So my view of the Baby Boom is that yes perhaps household appliances and antibiotics had a role to play in boosting it a bit, but the major determining factors were economic. Huge housing improvements + large shifts in experienced economic volatility have huge effects.
HT @salimfurth for sharing the article with me, blame him for this thread of Mongolian syphilis content

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More from @lymanstoneky

Jan 29
i am sympathetic to the libertarian paranoia about government surveillance

but then i meet actual libertarians and i realize

they are doing significant crimes at alarming rates and should in general be surveilled
my proposal: a sweeping program of surveillance but only for people who complain about it
apropos nothing, a sample with a massive over-representation of effective altruists (the ACX 2025 survey): Image
Read 5 tweets
Jan 13
Why is fertility declining in rich countries?

Last week, I said it was actually very simple: nobody's getting married.

Today, @jburnmurdoch has followed where that thread leads and shows that around the world, coupling is crashing, and where coupling falls, so do births. Image
Image
My post laying out the long-and-short run drivers of falling fertility is here:
substack.com/home/post/p-15…

Link to the new FT piece is here:
ft.com/content/43e2b4…
We've been saying this for quite a while at @FamStudies .

Here's a post I wrote laying out this exact argument (and with some of the same types of graphs! @jburnmurdoch links to this post; it's where some of his graph ideas came from) in 2018!
ifstudies.org/blog/no-ring-n…
Read 5 tweets
Jan 8
What explains the rise of Christianity?

Was it because we were so nice that everybody converted?

In a new post responding to Astral Codex Ten's recent pieces, I argue, no. Christianity won because we had babies and killed infidels. Image
The details on low pagan fertility are paywalled, sorry. Workin on a book about it, gotta get paid.

But here's a fun graph of Egypt's religious history.

When Constantine came to power, Egypt was already >33% Christian. Image
Christianity won by making our enemies bite the curb. When we didn't do that, we were exterminated to the last believer. Image
Read 17 tweets
Dec 9, 2024
The @nytimes has a striking piece on intimate partner homicide during pregnancy. It's a terrible tragedy.

They also don't seem to actually present any data on it. Look at these charts and see if you can spot what's missing. Image
Image
First, obviously, none of the actual data shown indicates the person committing the homicide was a partner. Undoubtedly, much of it was! But it's not easy to guess how much of it.
Second, this graph has multiple errors.

First, the correct denominator for pregnancy-associated deaths is not per live birth, but per person-year spent pregnant.Image
Read 21 tweets
Dec 2, 2024
What happened is NHANES changed their sample.

Here's the data by age of man with standard errors, 1999-2023. You can see from the big standard errors in 1999 and 2003, and the incorrect age gradient in 2003, that the early samples were small and perhaps unreliable. Image
The NHANES documentation does change between the 2003/04 and the 2011/12 editions for the lab methods section on sex hormone assays, but I'm not science nerd enough to know if it was really a substantive change.

But what I can say is sample size changed massively: Image
Practically speaking, what happened here is simple.

The 1999-2004 samples were almost trivially small and perhaps not very well done. Methods changes to 2011-12, which resulted in a lower estimate.

Methods have been more consistent since 2011, and overall T levels have RISEN. Image
Read 4 tweets
Nov 24, 2024
There are not many places on earth where we have detailed cause-of-death data from before the era of widespread vaccination.

Massachusetts is one of those places.

From 1842-1877, 70% of all deaths were from diseases which we today have vaccines to prevent. Image
cc @RichardHanania this feels like it's up your alley

huge pain in the butt to hand-copy all these historic vital stats, but I did it a few years back and have never regretted it!
For example, here's typhoid. Vaccine available 1896. You could try to say there was a pre-vaccine decline, but it's hard to know for sure. Certainly absolutely no shot of falling to <500/yr pre-vaccine. Image
Read 18 tweets

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