Excited to share research with you that I have been working on since grad school 😳

Question: what happened to the sons of slaveholders who lost wealth (sometimes tremendous fortunes) after the Civil War? Did sons rebound & join elite, or did wealth loss transmit to next gen?
Here’s a link to the paper and abstract.

It’s joint work with @K_A_Eriksson and Philipp Ager.

nber.org/papers/w25700?…
Old consensus among historians (back to Woodward) is that Civil War was “major rupture” to southern elite, that new wealth in South came from new families. This view was questioned by Wiener, Billings, etc but with small samples in specific locations
We have everrrrrrrrything!

Complete 1860 Census
Complete 1860 slave schedule (thanks @snaidunl!)
1870 wealth for fathers
1880 and 1900 wealth proxies for sons
Even some Georgia tax records in 1880
Bottom line: we find that fathers with more 1860 slave wealth lost more by 1870 than similarly-wealthy southern households. BUT SONS BOUNCE BACK!
Here’s the paper in two graphs.

Slaveholder surname = name with above median slave ownership in county.

Most slaveholders > 75th percentile of 1860 wealth distribution

Fathers with slaveholder surname have LESS WEALTH by 1870 than equally wealthy counterparts - above 75th p
But sons with slaveholder surnames catch up or surpass sons from similarly wealthy households by 1880
Son bounce back similar when you look at wealth proxy in 1900, income proxy in 1880, or individual wealth data from GA tax records.

Slaveholder sons also marry wives from wealthier backgrounds (using a method pioneered by @DanielePaserman and Olivetti)
Even the sons of wealthy families in the path of Sherman’s March or Sherman’s Field Order 15 (which confiscated plantations on the coast temporarily) bounced back - see also @jamesfeigenbaum work on Sherman
So, within South, slaveholding families lost wealth temporarily (around 15% more than comparison) but regained wealth and status quickly.

Compared to North, southern losses persisted (somewhat) by 2nd gen, but probably due to productivity declines rather than wealth transfer
This paper adds another data point to our understanding of intergenerational wealth transmission. We rarely have a chance to study unanticipated shocks to family wealth and follow kids to middle age.

Our conclusion: it’s not the resources here, it’s the social connections

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More from @leah_boustan

Oct 28, 2019
What is the American Dream?

One aspect: Immigrants who arrive with little can improve their children’s prospects

Has this ever been true? Is it less true today?

A thread on my new paper with Ran Abramitzky, @elisajacome and @seperez84

nber.org/papers/w26408
@elisajacome @seperez84 We look at millions of father-son pairs in 3 cohorts (immigrants in 1880, 1910 and 1980*)

Kids of immigrants earn more than kids of US-born who grew up *at same income rank.* Mobility advantage true today & past, and for nearly every sending country

*thanks to @OppInsights
@elisajacome @seperez84 @OppInsights Where do kids growing up at bottom (say, 25th percentile) end up? We looked at big sending countries

In past, 2nd gen from 15/17 countries at 25th p end up above kids of US-born

Today, 2nd gen from 19/21 countries at 25th p end up above kids of US-born
Read 6 tweets
May 6, 2019
I had a viral tweet a few weeks about following the sons of slaveholders into adulthood. Did you ever wonder how we could link 350k slaveholders across Censuses?

[A thread]
I have a new methods paper comparing linking samples created by automated algorithms and by hand.

Co-authors: Ran Abramitzky, @K_A_Eriksson, @jamesfeigenbaum, @seperez84

ranabr.people.stanford.edu/sites/g/files/…
Which automated algorithm should you choose? Or should you try to link by hand?
Read 10 tweets
Nov 19, 2018
Some thoughts on my new essay (w/ Andrew Langan) for the "women in economics" symposium coming soon in JEP

scholar.princeton.edu/sites/default/…

Thread below 👇
It's well known that few (~32%) of PhD students in economics are women

We investigate variation around this mean:
High of 50% 😃
Low of 10% 😡

(These are decadal averages!)
What's more: we find that some PhD programs have excellent relative outcomes for women (first placement, publication, promotion).... and some don't

"relative outcome" = women's outcomes compared to men in same program
Read 14 tweets

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