We find that women in opposite-sex couples experience a large and sustained decrease in earnings when they have children even when they were the primary earner pre-child
We don't see the same earnings losses for women in same-sex couples. Secondary earners gain earnings relative to before the child.
Men in same-sex couples have similar earnings patterns to women in same-sex couples. No one else appears to be experiencing the large earnings losses when a child enters a household that women in opposite-sex couples experience
At the household level, we see an earnings drop the quarter after the child enters the household for all household types
We disaggregate the total earnings patterns to understand the role of the intensive margin (earnings for those who are employed) and extensive margin (earnings changes due to shifts between employment and non-employment)
For opposite-sex primary and equal-earner men, earnings are even higher if you just look at the intensive margin. Secondary earner men are more likely to be working post-child, so their total earnings (including these extensive margin shifts) are higher
Although women in opposite-sex couples experience sharp drops in earnings at both the intensive and extensive margin, the sustained losses in earnings come from the extensive margin. There is recovery in earnings for those who are employed post-child.
Same-sex couples see earnings growth post-child for all earner types at the intensive margin. There are more extensive margin earnings losses for primary and equal-earner individuals in same-sex couples than for secondary earners
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How to start a research project in the Federal Research Data Center (FSRDC) system: (thread) census.gov/fsrdc /1
There are 30 FSRDC locations around the country, located primarily at academic institutions and federal reserve banks census.gov/about/adrm/fsr… /2
This thread is only going to cover requesting data held by the Census Bureau, but you can also access data from our partners AHRQ/NCHS, and BLS census.gov/about/adrm/fsr… /3
Today’s reading was @jmb112485’s paper, which concludes that Chicago’s public housing demolitions increased crime in the short run, the opposite direction from the effect found in my JMP papers.ssrn.com/sol3/papers.cf…
@jmb112485 If someone is going to debunk your paper, this is the way you want it done. A thoughtful and well-conducted study to advance science, rather than pick fights
@jmb112485 Jesse uses a similar estimation method to my paper as well as the Aliprantis and Hartley paper on the same topic and gets similar estimates (yay, the results replicate!) /3