The Latest BLS Job Growth Revision Actually is a Big One

Are you tired of hearing about revisions to jobs data? Well, there was another hot one released by BLS yesterday. Known as the “preliminary estimate of the Current Employment Statistics (CES) national benchmark revision to total nonfarm employment,” this change isn’t yet incorporated into the official jobs data. But it will, possibly slightly modified, be included with the January 2026 jobs release, altering jobs data back to April 2024. It is part of the normal annual process of reconciling the monthly, survey-based jobs data with the near-universe data from unemployment insurance records. Normally, this is a quiet affair, especially the preliminary estimate which is just giving a heads up to researchers about what will be coming in a few months.

I wrote about these preliminary figures last year, when the initial estimate was a negative revision 818,000 jobs. When revised and actually incorporated into the data, it was a somewhat smaller 598,000 jobs, which I then used in a post just last month to show that BLS hasn’t been getting worse at estimating jobs. If anything, they have been getting better. Yesterday’s report showed that the revision could be negative again, this time 911,000 jobs. That’s a little bigger than last year, but maybe it will end up being smaller in the final number. So, no big deal again?

Maybe not. The 911,000 jobs revision would actually be much larger than last year’s revisions because it’s coming on top of a slower growing labor force already. The initial report for March 2024 showed 2.9 million jobs added in the past year, so the 818,000 revision was a much smaller share than this most recent data, since the March 2025 initial report showed just 1.9 million jobs added in the prior year. And the March 2025 jobs numbers have already been revised down by over 100,000 jobs since the initial report, meaning that potentially half or more of the initially reported job gains would be lost due to the revision, as opposed to about 20 percent last year.

Is losing half of the job gains large? Yes. In fact, almost unprecedented:

(note: I am trying out a new chart template. Let me know what you think!)

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Where are the Elderly Workers? Still around, just older.

I’m piggy-backing off of the FRED blog and off of Jeremy’s post with yet more data. Let’s set the stage.

  • FRED blog, using BLS data from the Current Population Survey (CPS), shows that the labor force participation rate (LFPR) fell by about 1.4pp for people 55 years and older between 2017 & 2023. CPS data is released quickly, but the sample sizes are not massive. There are 3.4 million people in the 7 years of monthly data (so, a little over 40k people age 55+ per monthly observation).
  • Also using CPS data, Jeremy shows that FRED commits the fallacy of composition because there are very different people who are 55 and older. Specifically, he illustrates that the LFPR for people ages 55-64 have experienced about a 1.3pp *higher* LFPR in 2023 vs 2017. The implication is that something is happening to the people older than 64.
  • I use annual CPS instead. Why? Because it can be corroborated with the annual American Community Survey (ACS) data for 2017-2023.
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BLS Has Been Getting Better at Estimating Jobs, and They are Not More Favorable to Democrats

You’ve probably heard a lot about BLS data recently (or at least more than usual) with Trump firing the BLS Commissioner after a bad monthly revision to the nonfarm payroll jobs figures. But this didn’t come out of the blue, as there was plenty of criticism of the jobs numbers during the Biden term as well, mostly coming from the political right.

The two main criticisms leveled at the BLS, in my reading of it are:

  1. The BLS is getting worse at estimating jobs numbers over time, leading to larger revisions
  2. The revisions are done in a way that is favorable to Democrats

I think both of those claims can be analyzed with the following chart, which also shows those claims to be incorrect:

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Bureau of Labor Statistics Under Siege

Thousands of keyboards were likely drenched four days ago as coffee spewed from thousands of nostrils upon reading the headlines that President Trump fired the head of the Bureau of Labor Statistics because he (the prez) didn’t like the July 2025 job numbers that were reported. Apparently, the job stats were not as great as we had been led to expect for the new regime of tariffs and deportations. (Someone should inform the politicians that businessmen need predictability for making any expansionary plans). So, shoot the messenger, that will fix it.

The First Ire was apparently kindled especially by the truly massive downward revisions to the May (-125,000) and June (-133,000) job figures, which reduced the combined employment gain for those months by 258,000. That made for three anemic employment months in a row, which is a different picture that had been earlier portrayed. For those unfamiliar with past BLS reports, that could seem like manipulation or gross incompetence. For instance, whitehouse.gov published an article titled, “BLS Has Lengthy History of Inaccuracies, Incompetence”, excoriating the “Biden-appointed”, now-fired Erika McEntarfer who “consistently published overly optimistic jobs numbers — only for those numbers to be quietly revised later.”

But massive overestimations of jobs creation, followed a month or two or three later by massive downward revisions are pretty standard procedure for the BLS in recent years. Fellow blogger Jeremy Horpedahl has noted prior occurrences of this, e.g. here and here. There is no reason to suspect nefarious motives, though. The understaffed and overworked folks at BLS seem to be doing the best they can. It is just a fact that some key data simply is not available as early as other data. There are also rational adjustments, e.g. seasonal trends, that must first be estimated, and only later get revised.

Bloomberg explains some of the fine points of the recent revisions:

The downward revision to the prior two months was largely a result of seasonal adjustment for state and local government education, BLS said in earlier comments to Bloomberg. Those sectors substantially boosted June employment only to be largely revised away a month later.

But economists say the revisions also point to a more concerning, underlying issue of low response rates.

BLS surveys firms in the payrolls survey over the course of three months, gaining a more complete picture as more businesses respond. But a smaller share of firms are responding to the first poll. Initial collection rates have repeatedly slid below 60% in recent months — down from the roughly 70% or more that was the norm before the pandemic.

In addition to the rolling revisions to payrolls that BLS does, there’s also a larger annual revision that comes out each February to benchmark the figures to a more accurate, but less timely data source. BLS puts out a preliminary estimate of what that revision will be a few months in advance, and last year [2024], that projection was the largest since 2009.

Perhaps it would be wise for the BLS to hang a big “preliminary” label on any of the earlier results they publish, to minimize the howls when the big revisions hit later. Or perhaps some improvements could be made in pre-adjusting the adjustments, since revisions there do seem to swing things around outrageously. I expect forthcoming BLS reports to be the subject of derision from all sides. We all know which parties will scoff if the job report looks great or if it looks not great. Presumably the interim head of the Bureau, William Wiatrowski, is busy polishing his resume.

And POTUS should be careful what he wishes for – “great” job growth numbers would, ironically, strengthen the case for the Fed to delay the interest rate cuts he so desires.

¡Hedonic Frijoles! …And Televisions!

You may have seen on your social media recently that the price of TVs has fallen 98% since 2020. That’s certainly what the data from the BLS says. This would seem to imply that a one-thousand dollar TV in the year 2000 would now be priced at $20. While we have seen amazing things in the market for TVs, we’re not seeing $20 TVs.  One take away might be that the data is just wrong. But that data is always wrong. The question is how the data is wrong and whether it’s a problem.

The reason for the disagreement between the data and the price on the shelves is due to something called ‘Hedonic Adjustment’. The idea is that some goods have quality features that change over time, even if the price doesn’t change so much. In the case of TVs, we might see higher resolution, flatter screens, larger screen sizes, smart features, etc. TVs are not a stable set of qualities. They are a bundle of characteristics, and those characteristics have some wiggle room while still satisfying some sensible criteria for being a TV. In theory, every single good is a bundle of services that we value. The reason that the some CPI categories have fallen so much is not only because the price has fallen necessarily. Rather, the amount of services that we get from a TV has increased so that each dollar that we spend can purchase more of those TV features.

Continue reading for the gif.

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Is the Monster Jobs Report Just a Head-Fake?

Financial markets have sustained themselves for nearly two years now on the hope that within 1-2 quarters, the Fed will finally relent and start lowering interest rates. This hope gets dashed again and again by data showing stubbornly persistent high employment, high GDP growth, and high inflation, but the hope refuses to die.

Long-term interest rates had been falling nicely for the last month, based on expectations of rate cuts in the fall. Then came Friday’s jobs report, and, blam, up went 10-year rates again.  The Bureau of Labor Statistics (BLS) published its “Establishment” survey of data gleaned from employers. Non-farm payrolls rose by US 272k.  This was appreciably higher than the 180k consensus expectation.

The plot below indicates that this number fits into a trend of essentially steady, fairly high employment gains (suggesting ongoing inflationary pressures):

There are fundamental reasons to take the BLS Establishment figures with a grain of salt. They have a history of significant revisions some months after first publication. Also, BLS uses a  “birth/death” model for small businesses, which can account for some 50% (!) of the job gains they report.  [1]

Another factor is that all of the net “jobs” created in recent quarters are reported to be part-time. According to Bret Jensen at Seeking Alpha, “Part-time jobs rose 286,000 during the quarter, while full-time jobs fell by just over 600,000. This is a continuation of a concerning trend where over the past year, roughly 1.5 million part-time positions were created while approximately one million full-time jobs were lost. This difference is that the BLS survey does not account for people working two or three jobs, which are now at a record as many Americans have struggled to maintain their standard of living during the inflationary environment of the past couple of years.”

It seems, then, that this week’s huge “jobs added” figure is not to be taken as indicating that the economy is overheated. However, it is still warm enough that rate cuts will be postponed yet again. A different BLS survey (“Household”) showed unemployment creeping up from 4.0% to 4.1%, which again suggests a more or less steady and fairly robust employment picture.

As far as drivers of inflation, I would look especially at wage growth. That is fitfully slowing, but not nearly enough to get us to the Fed’s 2% annual inflation target. My sense is that ongoing enormous federal deficit spending will keep pumping money into the economy fast enough to keep inflation high. High inflation will prevent significant interest rate cuts, assuming the Fed remains responsible. The interest payments on the federal debt will balloon due to the high rates, leading to even more deficit spending.  If we actually get an economic downturn, leading to job insecurity and a willingness of workers to accept slower wage growth in the private sector, the federal spending floodgates will open even wider.

This makes hard assets like gold look attractive, to hedge against inflating U.S. dollars. This is one reason China has been quietly selling off its dollar hoard, and buying gold instead.

[1] For more in-depth treatments of employment statistics, see posts by fellow blogger Jeremy Horpedahl, e.g. here.