The Federal Reserve is currently facing a measurement dilemma that could significantly alter its policy path.
At the heart of the issue is a full percentage point gap between two key inflation measures for April 2026. The long-standing benchmark, Core PCE, registered a hot 3.3%, well above the Fed's 2% target. However, another metric, the Dallas Fed Trimmed Mean PCE, came in at just 2.3%. This divergence has become a central debate, especially since the new Fed Chair, Kevin Warsh, has publicly stated his preference for trimmed-mean indicators.
So, why the big difference? The primary cause is what statisticians call 'positive skew'. Recently, a few specific categories have seen sharp price increases. First, new tariffs on steel, aluminum, and semiconductors have pushed up the cost of goods. Second, geopolitical tensions in the Strait of Hormuz have caused energy prices to spike. Third, soaring demand for AI infrastructure has increased costs for certain tech components and services. Core PCE includes these price hikes, but the Trimmed Mean PCE is specifically designed to chop off the most extreme price changes at both the high and low ends. In the current environment, it's cutting off those sharp increases, painting a much milder picture of inflation.
This method, however, is now facing scrutiny. The Dallas Fed itself has published research warning that its own metric might understate inflation when prices are skewed heavily upward as they are now. Critics, like the think tank Employ America, argue that alternative measures, such as a symmetrically trimmed index, actually show inflation is still accelerating. They suggest that relying on the Dallas Fed's gauge could be misleading.
Ultimately, this isn't just a statistical debate; it has profound policy implications. If Chair Warsh elevates the Trimmed Mean PCE as his main policy guide, it could create a bias toward easing policy, such as cutting interest rates, since the metric is already near the 2% target. Conversely, a majority of the FOMC might argue that ignoring the price pressures from tariffs and energy is a mistake. The Fed's decision will reveal whether it's sticking to a consistent framework or choosing the data that fits a desired narrative.
- Core PCE: An inflation measure that excludes volatile food and energy prices to gauge the underlying inflation trend.
- Trimmed Mean PCE: A statistical measure of inflation that removes a certain percentage of the items with the highest and lowest price changes in a given month.
- Positive Skew: A statistical term describing a distribution where the tail on the right side is longer or fatter than the left side, meaning there are a few unusually high values.
