About 9 million people are set to exhaust unemployment benefits at the end of this year. What happens to spending at exhaustion?

tldr:
1) people don’t prepare for exhaustion
2) cut spending a lot at exhaustion
3) including on groceries and medical

🧵
@pascaljnoel and I have a July 2019 AER paper about this using pre-covid data

cpb-us-w2.wpmucdn.com/voices.uchicag…
How much do people cut spending at exhaustion?

By about 12%.

For comparison, when they are receiving UI spend falls < 1% per month.
What do people cut spending on?

Largest cuts are for stuff like home improvement and clothing. But these are a small share of spending.

So we also see large cuts (13%-15%) for categories like groceries, drug stores, and medical.
People also draw down their checking accounts (h/t @qdbui for graphics on this plot... they are obviously much better than anything pascal and I could do)
How might effect differ this time from our prior paper? I really hope we don’t find out! (Congress should extend benefits)
reasons for smaller ⬇️
1) benefits were higher with the $600 supplement (PUC
2) avg benefit amount is smaller. spending drops smaller when benefits are a smaller share of income
reasons for larger ⬇️
1) This exhaustion will come for many as a surprise. This contrasts with our study, where exhaustion was predictable.
2) Most people who lose benefits will be PUA recipients at the margins of the labor market. Probably had less pre-crisis financial reserves
Finally, we calculate using the Oct 2020 CPS that 41 percent of people who are unemployed and were laid off from their job (and therefore are most likely getting UI) have kids. So it’s not just the workers who will suffer; it is their kids too.
3) b/c spending is depressed, more people have savings (h/t @IvanWerning)

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More from @p_ganong

12 Nov
Myth: wages are rising sharply

Fact: wages are basically stable

(I've seen a few places where folks have been confused about this so I wanted to provide a brief explanation of composition bias.)

The best plot I know showing this is by @ElizaForsythe & Matias Cortes

\{thread}
A big Uchicago-Fed Board-Princeton team including @JohnRGrigsby @Ahu_Yildirmaz has shown the same fact using payroll data from @ADP
Why might someone incorrectly think wages are rising? If you take average earnings *per current worker*, they have risen sharply during covid. That is what the blue line in Eliza's plot above shows.

You get the same thing from the BLS's Current Employment Statistics.
Read 7 tweets
16 Oct
🚨new results🚨

How did the expiration of the $600 unemployment supplement affect spending and saving?

Tldr: the $600 life preserver is deflating quickly

New work w @FionaGreigDC @Farrell_Diana @Dan_M_Sullivan @pascaljnoel @JoeVavra @maxliebeskind

\begin{thread}
This thread summarizes the results and you can find more details here cpb-us-w2.wpmucdn.com/voices.uchicag…
In the spring, the US Congress orchestrated the largest ever expansion of weekly unemployment benefits via a $600 per week supplement to the unemployed. This supplement expired at the end of July.

What happened to spending and savings in August in #JPMCInstitute data?
Read 13 tweets
15 Oct
When will the current covid Phase 3 vaccine trials read out (give results)?

Timing of results mathematical function of
1) number enrolled
2) local covid prevalence
3) rate of enrollment

1 & 2 known. Take an educated guess for 3.

Any estimates from ID docs or biostats folks?
@13pt @suilee @carlzimmer have a great tracker here nytimes.com/interactive/20…, but it just has what firms say, no calculations based on public records.
I also spent awhile googling. This seems like something that a professional can take an educated guess at, but surprisingly, I haven't found any.
Read 5 tweets

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