Next paper at #BPEA, by Stephanie Aaronson, @marydalyecon, William Wascher and David Wilcox looks at the cyclicality of labor market outcomes across demographic groups. brookings.edu/bpea-articles/…
I was a discussant, so thought I might show a few slides...
The differences in the cyclical sensitivity of unemployment by race are just striking. A deep recession that might push the white unemployment rate up to 10% can cause the black unemployment rate to rise as high as 20%. Business cycles have very different implications by race.
Interestingly enough, there aren’t big differences by gender. It used to be the case that women’s unemployment was more responsive to the business cycle, but in the great recession, it was men’s unemployment that rose then fell most dramatically.
There’s some pretty stark differences by education. The unemployment rate of high school droupouts varies dramatically over the business cycle. For college grads, the unemployment rate never rose above 5%, even in the depths of the great recession.
The lack of cyclical variation in unemployment among college grads is so striking that I broke it apart. Note the scale: There’s not much variation. And for those with professional degrees or PhD’s, it’s rare for unemployment to rise above 2-1/2%, even in the worst of times.
A strong economy helps less educated folks in every country I’ve ever looked at. This plot shows the gap between the unemployment rate of high school dropouts and college grads, versus the state of the business cycle (u-u*). A strong economy narrows these gaps everywhere.
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After all: Is there a principled difference between weighting on age (to ensure that your sample includes youngs and olds) and weighting on past vote (to ensure you get folks from across the political spectrum)?
Both age and past vote are:
- Predetermined (before this poll)
- Non-manipulable
- Though self-reported
- And we have good population estimates to weight them to.
What principle would make one of these a legitimate survey design weight and the other "herding"?
This decline in violent crime is evident in not just the FBI reports, but also an independent survey by the BJS.
If you don't trust data from G-men, the decline in homicide rates the FBI reports is also evident in a count of death certificates in which coroners cute homicide as the cause of death.
September payrolls grew +254k, well above expectations.
August payrolls revised up +17k to +159k, and July revised up +55k to +144k.
Unemployment fell to 4.1%
This economic expansion that is motoring along.
Honestly, there's not much to say here other than that fears the job market had slowed turned out to be a statistical illusion due to incomplete data.
Over the past three months, payrolls is motoring along at +186k per month, on average, which is pretty much where you want it.
(The conspiracy theories on revisions to economic numbers confuse me, and I can't remember whether numbers getting revised up to look good is evidence of a conspiracy, or numbers later get revised down is evidence of an initial conspiracy that falls apart.)
Senator, you're misleading folks again. I just read the CBO report you recommend. It actually says that an immigration surge boosts federal revenues quite dramatically, and has only a small effect on mandatory spending and interest.
The CBO study @JDVance cites analyzes how immigration improves the *federal* budget.
Yet he pulls a misleading quote, talking about the effects of *state and local* budgets and ignoring the (likely larger) federal govt impacts.
Here's the CBO directly saying this isn't okay:
Of course, you might ask: How could @JDVance have known that this was a study of *federal* budgets, not of what's happening to *state and local* budgets?