
Conflicting Data, Conflicting Results
Is inflation rising or falling? Is unemployment solid or are there significant issues? Given the massive revisions of labor data, how can we base decisions on employment numbers? And what happens when the various collected data conflicts with themselves?
Given that there are no clear guidelines for policy decisions, those of us sitting in the back of the airplane can be forgiven for thinking that the policy pilots flying the plane are “winging it.” Some of us from an older generation remember the saying, “Flying by the seat-of-the-pants.” You can justify almost any decision depending on which data you want to use. Hence the wide variety of views from the recent FOMC minutes.
Today we are going to look at the recent CPI data, the PCE data and the problems in the labor market. We are coming closer to the time when the market is going to realize that whatever policy the Federal Reserve chooses, the desired results will be less than we have seen in the past, and indeed may run counter to historical comparisons.
A “Tame” CPI Inflation Number
I read a lot of analysis on the recent CPI numbers. Let’s start with some wonderful work done by Strategas Research Partners. Their work is for institutions, and therefore not cheap, but they provide value and unique insights. Quoting from their analysis of the recent CPI numbers and using a few of their charts (emphasis mine):
U.S. CPI TAME EVEN WITH THE “JANUARY EFFECT”
The U.S. CPI was a moderate +0.2% m/m and 2.4% y/y in Jan. The core (ex food & energy) measure was +0.3% m/m and 2.5% y/y.
This matters because there had been a pattern of January CPI prints popping to the upside with calendar-based resets (annual wage hikes, etc).
Of note, used car & truck prices declined -1.8% m/m in this report, helping hold down the headline number. Tax return prep prices were also -13.8%.
Bottom line: The FOMC previously indicated a desire to move slowly in early 2026. They are probably still on hold as we head toward the March meeting. But tame CPI readings keep the door open to eventual further central bank easing in 2026 as we move toward the summer (and a change in Fed leadership).

Nearly every analysis I’ve read of the CPI numbers continues to point out that the heavily weighted Owner Equivalent Rent is well behind the actual drop in rent and the downtrend has been evident for years.

One more chart from Strategas. This provides some excellent insight on past inflationary cycles. The heavy blue line is the current cycle and as you can see after an initial surge and then a drop, inflation has tended to go sideways to down a little bit. This has some observers breathing easy and suggesting that the Fed should cut rates as inflation is getting closer to their target. But Strategas points out that in past inflationary cycles, inflation comes in “waves” with a pause between the surges. The light lines represent past inflationary periods measured in terms of months. While the correlations are not exact, the implied lesson is that without Fed vigilance, inflation can come back quicker than we would like to think.

Here is a good visual summary from my friend Barry Habib at MBS Highway. Shelter in the CPI is still way too high, and if the number is anywhere close to reality, it would take the CPI to the 2% range.

To Cut Or Not To Cut?
There are considerable differences of opinion as to whether the Fed should cut rates are not. And frankly, exactly what would a rate cut accomplish? It’s not your father’s economy, and to expect a rate cut to act like it did 40, 20 or even 10 years ago is probably not realistic.
In what I think is a little bit of irony, Dr. Lacy Hunt thinks the Fed is behind the curve and should be cutting rates. Lacy has been death on inflation for all the decades I’ve known him, and he has been in the disinflation camp for nearly all of that time (with some short-term exceptions).
Lacy thinks we are still in a disinflationary environment. Let’s look at his eight reasons he provided in a recent analysis (emphasis mine):
The labor markets have been weak for over two years, pressuring wages and resulting in recessionary levels of consumer confidence. The BLS overcounted jobs by 1 million in 2025 after an overcount of almost 0.5 million in 2024. Last year’s gain was only 118 thousand or 10 thousand a month. The entire increase was more than accounted for by the social service and health industries, the two most non-cyclical components of the labor market as they are tied to aging demographics. Based on labor market conditions, most industries were in recession for most of 2025.
As reported real disposable income (DPI) has been unchanged since May, a worrisome trend. These figures were based on the reported and greatly overstated job levels; that will eventually result in significant downward revisions to DPI, total personal income, GDI (gross domestic income), personal saving, total national saving that is currently reported as barely positive and resulting in an even larger discrepancy with GDP, a condition that is economically unjustified.
Third, monetary conditions proved more restrictive than widely recognized, even as the Federal Reserve cut the Federal Funds rate in both 2024 and 2025.
Fiscal policy unexpectedly tightened due to a notable reduction in the federal budget deficit.
More U.S. manufacturing plants outside the AI sector became idle.
Major economies abroad, including China, Japan, Germany, and the UK, experienced stagnation.
A scholarly econometric study indicates that while tariff hikes initially boost inflation, their longer-term effect is to suppress demand and contribute to disinflation.
AI is disinflationary, cyclically and secularly.
Let’s visit point number 2. As we see in the chart below, the Bureau of Economic Analysis overestimated the number of jobs in 2025 by 1,029,000. The sweeping correction follows downward revisions of 818,000 jobs in 2024 and 306,000 in 2023 [the numbers vary depending on how analysts calculate the data]. Over the past three years alone, 2,153,000 jobs have been erased from earlier reports.

No conspiracy here. The simple fact is that we have gone from over 80% of companies reporting in the first months to around 60%. Government analysis is forced to make assumptions on just over half the data. The surprise would be if there were no revisions. The model they use requires them to make assumptions on historical data as they make the projections. Since we are in a changing labor environment, and one changing to the negative, it is no surprise that the revisions are downward.
But as Lacy pointed out, this is going to require them in the future to revise gross domestic income, personal savings, personal income and more downward. This suggests that the economy is weaker than their data has been suggesting.

