1/ Employment is viewed as a lagging economic indicator except for when laid off workers seek financial help; that's when this labor activity becomes a leading indicator.
Its fancy name is Unemployment Insurance Weekly Claims and it's a data series about the need for financial help for laid off workers.
The Department of Labor aggregates state-level input and publishes the data every Thursday for the prior week.
3/ Why do markets care about jobless claims? 1. It *can* signal demand for labor. 2. It's a higher frequency data set--weekly. 3. Initial claims warn of shocks; continuing claims, drag. 4. It's a leading economic indicator.
4/ "Jobless claims" is often digested and discussed in two statistics at the national level: 1) seasonally adjusted initial claims; and 2) seasonally adjusted continuing claims.
There are 17 metrics released; along w/ data for 50 states, Puerto Rico, and the Virgin Islands.
5/ Let's breakdown each Initial Claims and Continuing Claims with a few pictures for our visual learners.
🎁 Bonus content: a few controversies (or maybe idiosyncrasies?) and the oft-overlooked state-level commentary.
6/ Initial Claims is defined by "a claim filed by an unemployed individual after a separation from an employer." The unemployed individual files with their state of residence (regardless of where the employer is domiciled).
7/ Continuing Claims is also known as "Insured Unemployment" and is defined by "an unemployed person who has already filed an initial claim" and continues to need financial help. Again, states administer these claims.
8/ To Seasonally Adjust or Not, that is the question.
Look, we're firmly in Team Not Seasonally Adjusted whenever we can make the choice. We remove the seasonality by calculating a rolling average.
Why? The same reason we like preservative-free food; it's pure(er).
9/ So let's chat a few idiosyncrasies about jobless claims: one is rooted in methodology, another in eligibility.
1st... Methodology: initial advance claims are reported in the state where the claim is liable, not the residence of the unemployed person.
10/ How claims are classified by state can send false signals about the health of the local labor economy.
Ex. If a global headquarters of a company resides in IL but the manufacturing layoffs are in KY. The claims will initially show up in IL, but the reality sits in KY.
11/ 2nd... Eligibility: each state has their own set of rules about how long benefits are provided.
Here's the crux: jobless claims could appear low if the unemployed person is UNABLE to file a claim because they exhausted their benefits.
12/ Near the end of the jobless claims release is a handy page of state supplied commentaries about why claims are higher or lower. Though not required, the commentary is useful when they do because it'll indicate which industries were affected.
13/ Recap ⤵ 1. "Jobless claims" matters because it's a leading indicator and markets like early signals. 2. It measures two things about the labor economy: labor shocks (initial claims) and drags (continuing claims).
1/ "Yes, if you die while working for a company, your death will be counted in JOLTS."
This and a few more gems in our #JOLTS primer thread incoming ⤵
2/ What is JOLTS?
It's a data series about labor movements reported by businesses.
The Bureau of Labor Statistics publishes the data once a month on a lagged month basis (November data is published in January).
3/ Why do markets care about JOLTS? 1. It *can* signal the demand for labor. 2. Chair Jay Powell keeps citing "Job Openings" as part of the Fed's internals on monitoring the economy. 3. Specifically, the "job openings rate" is quoted from this data series.
"Will a surprising, rising federal deficit affect consumers' jobs?"
⬆ The first of four questions we've been discussing with leadership teams and boards this year. 🧵/16
Why jobs? Consumer capacity to spend is largely defined by employment.
Why federal deficit? ⤵
2/ The federal deficit, though down from last year because of pandemic program comparisons, is rising quickly. Consider this snapshot taken right before the end of the federal fiscal year: the deficit went from just under $1T to the final reading of $1.4T in one month.
3/ Offsetting our federal deficit is a big increase in tax receipts. Said differently, our federal deficit would be higher still if, say, we had to return those tax receipts in the form of tax refunds. We believe this is plausible.
“I don’t understand why we even need to be profitable.” —unnamed tech co employee
I’ve heard a few disturbing quotes over the years while in the field but this one is the one I recall to mind most often.
2/ When I see the layoffs announced and the pending ones around the corner, the very people who don’t understand a need for profitability are the ones likely to be laid off.
I fear there’s a whole generation of tech who don’t understand the role of profits as a good goal.
3/ “They’ll be fine; they’ll bounce back.” —conventional wisdom
Will they? What kind of unresolved baggage will they carry with them into their new roles? Will they find it difficult to trust their new employer, their future co-workers, their upcoming performance reviews?
Few will leave Twitter. It’s too costly to egos to leave.
Which means the advertisers will return. It’s too costly to ignore an installed base of daily (hourly) users.
Sunday morning musings and a story incoming ⤵️
Back during what appeared to be the peak usage of Clubhouse, blue checks and others with large followings would hop into rooms and onto stages and they’d get super frustrated at times with NOT being known. I even heard one of them say something to the effect of… 2/
“This platform (Clubhouse) is ridiculous! I have xx,xxx followers on Twitter,” when someone had the audacity to question his views on what was (and still is) a hotly debated topic in the economy.
This person was defined by their followers as a way to validate their views. 3/