Some quick math in response to this @ojblanchard1 piece.....

piie.com/blogs/realtime…
He writes: "In January 2020, the unemployment rate was 3.5 percent, the lowest since 1953; it can reasonably be taken as being close to the natural rate. Put another way, output was probably very close to potential."
Except that the unemployment rate is a poor measure of slack. The evidence we have accumulated post Great Recession makes it extremely clear that participation matters, and many who were considered irrelevant, like disabled and "don't want a job" are actually relevant slack.
So for some quick math, the prime employment rate hit 82% in the late 1990s, when btw we were a lot less educated... Pre pandemic, it was 80.5%. That's 1.5 pp of slack. If you take 1.5/82, that is a 1.8% labor gap.
So you could interpret that as a 1.8% output gap. Or we could use an Okun's rule of 2pp of GDP for every 1% of unemployment, and we get a 3% output gap. Now add that to the 4.2% output gap he estimates, and we are at 7.2%.

This would scale his $900 billion to $1.5 trillion.
For awhile now I and others have been arguing w/ the profession about the unemployment rate vs prime epop. As the Fed has taken a more nihilistic approach, some people said hey take the win. I think we are far, far from done with this debate. As the stimulus discussion has shown
So if I sound like an obsessive who won't let prime epop go, it's not just because I want people to admit I and other prime epop advocates were right, but because we can't not have an opinion on labor slack levels. There is no "assume nothing" option. This debate matters.
Finally, let us not forget Blanchard, 2018:

pubs.aeaweb.org/doi/pdf/10.125…

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