How Much Did the BLS Overstate Job Expansion in 2023?

Based on QCEW data, the BLS may have overstated 2023 end of year jobs by 800,000.

Nonfarm payrolls and Employment Level from the BLS, QCEW data from the Philadelphia Fed.

QCEW stands for Quarterly Census of Employment and Wages. It is far more accurate but less timely than nonfarm payrolls from the BLS CES Sample.

The Bureau of Labor Statistics (BLS) collects data each month on employment, hours, and earnings from a sample of nonfarm establishments through the Current Employment Statistics (CES) program. The CES survey includes about 119,000 businesses and government agencies, which cover approximately 629,000 individual worksites drawn from a sampling frame of Unemployment Insurance (UI) tax accounts covering roughly 11.3 million establishments. The active CES sample includes approximately 30 percent of all nonfarm payroll employees in the 50 states and the District of Columbia.

Each year, CES-National estimates are benchmarked to the most recent Quarterly Census of Employment and Wage (QCEW) data, based on Unemployment Insurance records, along with a small amount of employment data that is not covered by QCEW. 

Household Survey and Employment Level

The Employment Level is from the BLS Household Survey. It’s the same survey that calculates the unemployment rate each month.

The employment level is binary. One either worked or didn’t. But in the CES nonfarm payroll report, a person is counted more than once if they work more than one job.

For example, someone working three jobs is counted once in Household Survey but three times in nonfarm payrolls. Nonetheless employment level is higher because it includes everyone, not just nonfarm work.

Early Benchmarks for All 50 States and the District of Columbia

On March 14, the Philadelphia Fed released its Early Benchmarks for All 50 States and the District of Columbia

I created the lead chart by downloading state-level data + DC, then summing the states.

Key Points for 2023 Q3 by the Philadelphia Fed

  • Based on both the pre-benchmark CES sum of states and the U.S. CES, payroll jobs grew 1.7 percent.
  • The revised CES sum-of-states growth rate is 0.5 percent.

Although the Philadelphia Fed uses a sum-of-states method it offers this caveat:

The estimates obtained from the sum of our EB state estimates are not designed nor intended to be an accurate measure of national employment. Moreover, the BLS warns that, owing to statistical limitations, it “does not compile a ‘sum-of-states’ employment series and cautions users that such a series is subject to a relatively large and volatile error structure.” This caveat also applies to our EB series.

I am very aware, as in every monthly job report, where the sum of BLS subtotals don’t match the stated total.

Nonetheless, the Philadelphia Fed reports the sum of states percentages anyway.

Why? The only explanation that makes any sense is QCEW data is more accurate than the BLS monthly reports.

Jobs Up 275,000 with 52,000 More Government Jobs, Employment Down 184,000

On March 8, I noted: Another seemingly strong jobs headline falls apart on closer scrutiny. The massive divergence between jobs and employment continues.

Nonfarm payrolls and employment levels from the BLS, chart by Mish.

Payrolls vs Employment Gains Since March 2023

  • Nonfarm Payrolls: 2,602,000
  • Employment Level: +144,000
  • Full Time Employment: -284,000

For more details and discussion, please see Jobs Up 275,000 with 52,000 More Government Jobs, Employment Down 184,000

Based on QCEW data, more negative revisions are on the way.

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Peter
Peter
1 month ago

The discrepancy is due to an error, the series should not have been analyzed without reference to their context. The populations are not identical, with one being a subset of the general population.  

Concepts : Handbook of Methods: U.S. Bureau of Labor Statistics (bls.gov)

Micheal Engel
Micheal Engel
1 month ago

The 10Y is 4.28%. The next administration will have to pay : gov employees, retirees, a higher interest cost, defense, medicare, unemployment… and millions of illegal immigrants in the Pourhouse.
After Trump liquidity syndrome pension funds might rotate from 80%/90% NDX to 40%/50%, to HQ gov bonds and cash.
The US gov might suffer from Trump syndrome itself. They might have problems to pay the IOU tsunami. The idea that gov can always print money to pay debt is bs, a fallacy, spread by high IQ “experts”.

Last edited 1 month ago by Micheal Engel
Hank
Hank
1 month ago
Reply to  Micheal Engel

The 10Y should be over 8%…… but pure manipulation and fraud……

Micheal Engel
Micheal Engel
1 month ago
Reply to  Hank

Gravity with Germany and Japan drag it down,

Hank
Hank
1 month ago

Option 1) fabricate the data and all communication and hope to jawbone their way to a magical soft landing. Along with immediate (24 – 48 hours) bailouts for any distress. And encourage backdoor liquidity and massive leverage to prop up the ponzi at least 1 day longer

Option 2) blame everything negative and bad on either a foreign or domestic bad guy and hope many people believe it

Option 3) tell the truth, admit the $13T in free and easy money combined with massive fraud was 100% their fault and it will end in a very painful unwind

P.S. a cousin is trying to find someone to take over (sell at or just below cost) 2 of his consumer discretionary businesses as they are draining all profits from his other businesses. These were high flying profit centers from 2017 – 2022. 2023 was small and manageable losses. 2024 is a disaster. If he can’t find someone and get rid od them in the next 2 months, he is just going to close the doors and walk away.

Buckle up

KGB
KGB
1 month ago

As much as they could. Every way they could. USA has a corrupt government.

Alex
Alex
1 month ago

Good discussion with a Swiss general who was dealing with Ukraine for NATO in the 2015 to 2020 timeframe. This provides yet more evidence for this dumb proxy war instigated by the US.

link to youtu.be

WTFUSA
WTFUSA
1 month ago

“How Much Did the BLS Overstate Job Expansion in 2023?”
About as much as the BLS understated inflation in 2023. Government version of the conservation of energy formula, IMO.

Heads they win, tails we lose…

RonJ
RonJ
1 month ago

“Nonetheless employment level is higher because it includes everyone, not just nonfarm work.”

Why make a distinction? Farm work does have a seasonality to it, but so has Hollywood or construction. I once ran into an actor on the series SOAP, on his way to the Hollywood unemployment office during hiatus.

Maximus Minimus
Maximus Minimus
1 month ago
Reply to  RonJ

There really was a soap opera called SOAP? 🙂

Mike Timmons
Mike Timmons
1 month ago

How extraordinarily sad that the question isn’t “are we being lied to?,” but how MUCH did our elected “leaders” and banksters lie to us THIS time?

Alex
Alex
1 month ago

Am I to believe our government is lying to me? The shock and horror!

Traveller
Traveller
1 month ago

Seriously, Would you expect anyything else from the Party in Power . . .
The Old adage definetly applies . . . there is Sucker born every minute . . . today maybe every second !

PapaDave
PapaDave
1 month ago

The only thing that surprises me is that people expect these statistical guesses to be accurate at all. They can’t be accurate. They never will be accurate.

They are approximations. So take them as they are. Don’t focus on each number individually but look at the long term trends.

Next month’s number won’t be very accurate either. Or the months after that.

I, however, can make an accurate prediction: people will continue to complain about how inaccurate these numbers are, every single month.

Alex
Alex
1 month ago
Reply to  PapaDave

They are not guesses. They are based on samplings and yes statistics can be quite accurate if correctly applied. The error is intentional.

Last edited 1 month ago by Alex
Bill
Bill
1 month ago
Reply to  PapaDave

1) Taxpayers are paying to produce these reports/statistics
2) Why pay for them if they are not accurate
3) Why the assymetric nature on the direction of the inaccuracy? Namely, the allegedly-impossible-to-get-correct number are always incorrect in the overstatement of jobs, the understatement of inflation.

Might there be a political / Fed-interest-rate policy reason to make numbers appear to support a lower-than-appropriate interest rate (underreport inflation) while simultaneously supporting the second half of the dual-mandate of maximum employment (overstatement of jobs)? Hmmmm.

It’s not that we’re complaining about them, we’re simply pointing out we’re paying for them to perpetually inaccurately calculate the underlying numbers used to set the most important price in the world–the interest rate of money. That interest rate has triggered the boom cycles that extend wealth inequality and ultimately the bust cycle that harms all parties, including those that never participated in the boom.

See post on unhappiness. Again, you fail to see that the complaining is the venting of steam that is manifest on the unhappiness scale because you are an asset holder. It’s done in hopes that the mood changes and we foster a culture willing to hold policy-makers to accountable for the economic systemic fallout.

Why should we not want our taxpayer-funded reports to be accurate? When they aren’t, who is held to account? Who gets harmed by setting policy based upon the grossly inaccurate numbers.

And if you wish to exuse them away as impossible to get correct, then let’s get out of the reporting business and let someone else provide those figures who can better approximate them. Having worked at a top 10 telecommunications company, we had to approximate expected trends against billions of records daily and we were VERY accurate. If we were not, we adjusted our modeling or addressed the source of the inaccuracies because our core business depended on the data.

We all know why that won’t happen–the inaccuracies are accepted due to skew they operate under.

(on a lighter sidebar: imagine not dressing appropriately because the weatherman was always wrong. you’d say, stop venting and adjust to the skew. wear the shorts and flip flops. then, the day you do, the blizzard hits and wipes you out. total loss. they say “oops”. but bad policy based upon bad numbers is another way government picks winners and losers. a government we’re paying to get the it right. we vent because of the arbitrary nature of it all. can’t we just have accurate data so we can decide what to wear.)

Micheal Engel
Micheal Engel
1 month ago

Full employment is down 1.8 million. Not all of them retired. Quitting is down. If in the next Earnings reports the retail sleaze meter cont to point lower and pensions funds
rotate from the grande7 to IWM ==> SPX [1M] might be an UT, either to fill the tank, or for the big one.

Last edited 1 month ago by Micheal Engel
Karlmarx
Karlmarx
1 month ago

QCEW uses the same methodology as the employer survey so should match that pretty closely. It comes out waaaaay later though so should pick up the revisions to the monthly data. I would expect pretty dramatic changes in QCEW to make up the difference.

Don Miller
Don Miller
1 month ago

Thanks Mish, it just stuns me our gov’t can’t get these statistics in decent working order. How can a bunch of PHD’s be so dumb?

Alex
Alex
1 month ago
Reply to  Don Miller

It’s not dumb, it’s intention ( though they are dumb too). Notice the error is always on the side that benefits the swamp. The initial pronouncements makes the front page. The correction is on the back page. Biden can then make claims about his wonderful leadership and how well the economy is doing. And the rubes drink it up.

Last edited 1 month ago by Alex
Maximus Minimus
Maximus Minimus
1 month ago
Reply to  Alex

It could be worse, the case when PHDs actually have unshaken confidence in their numbers.

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