Author: Wall Street Insights
While official inflation data shows a manageable situation, U.S. consumer confidence has plummeted to its lowest level in nearly half a century—this divergence is shaking the market's fundamental trust in macroeconomic data.
The U.S. June CPI data will be released tomorrow. Prior to this, the May Consumer Price Index rose 4.2% year-over-year, and the Personal Consumption Expenditures (PCE) Price Index rose 3.4%, with official data painting a picture of 'concerns exist, but no crisis.'
However, the University of Michigan Consumer Sentiment Index hit its lowest point on record in May since records began in 1978, and the June reading is the second-lowest ever—the five decades covered by this index include the oil crisis, two stock market bubbles, a pandemic, and six recessions, yet Americans still view the present as the worst economic period.
This contradiction is triggering deep reflection within the economics community.
Labor economist and independent policy advisor Kathryn Anne Edwards wrote in a Bloomberg column that the massive gap between official inflation metrics and the real-life experiences of the public stems from systematic flaws in the current measurement system—it masks the vastly different inflation realities of different household groups with an averaged 'market basket.' For investors relying on this data for asset pricing and policy forecasts, this means the core metrics they have long referenced may not accurately reflect the economy's true pressures.
One Number Hides Millions of Inflation Experiences
The U.S. Bureau of Labor Statistics (BLS) tracks the price changes of approximately 100,000 goods and services monthly, weighting them through consumer expenditure surveys to generate the CPI, which reflects the purchasing behavior of the 'typical consumer.'
Currently, the BLS only maintains three sets of consumption baskets: All Consumers, All Urban Consumers, and Urban Wage Earners and Clerical Workers.
Edwards points out that the fundamental limitation of this framework is that it compresses highly heterogeneous consumer groups into a single average.
The BLS's own research has proven this difference is not negligible: a study covering 2006 to 2023 shows that the lowest income quintile families experienced an average annual inflation rate about 0.28 percentage points higher than the highest income quintile, with a cumulative gap of 7.7 percentage points.
In other words, over nearly two decades, the poor have borne far greater inflation pressures than the rich, yet this disparity is almost invisible in the standard CPI.
The impact of this 'averaging' on the market is substantial. When investors and policymakers judge the direction of monetary policy based on the overall CPI, what they see is a statistically smoothed number, not the true distribution of pressures within the economy.
The Data Foundation Exists; What's Lacking Is Policy Will
Edwards's core argument is not to overthrow the existing system but to point out that the technical barrier to expanding measurement dimensions is extremely low.
The BLS has already completed the most arduous task—monthly collection of price data for 100,000 goods and services. Building more segmented indices on this foundation, by dimensions such as household type (single, married without children, married with minor children, etc.), income level, renter or homeowner, age, essentially involves nothing more than reweighting and presenting the same raw dataset in different ways.
The BLS already has several precedents: the CPI for the elderly, the CPI for new tenants, the CPI excluding changes in product specifications, and the CPI research series by income quintile.
The release frequency of these series is lower than the monthly CPI, but they prove the feasibility of the technical path. Edwards suggests that the current three baskets should be expanded at least tenfold, with monthly data provided for each typical household type, while also increasing BLS research staff and expanding the consumer expenditure survey sample size.
Beyond Data Distortion, Real Economic Pressures Cannot Be Ignored
Edwards clearly states that improving the measurement system cannot solve the economy's inherent problems.
She lists the multiple pressures facing the current U.S. economy: slowing hiring, sluggish wage growth, persistently high prices, rising credit card debt, high-interest rates suppressing housing market vitality, and the potential impact of artificial intelligence on the job market.
These structural pressures collectively explain why there is such a deep rift between consumer confidence and official data. In Edwards's view, the correct path to bridge this contradiction is not to ask the public to trust the existing data more, but to make the data system more truthfully reflect the living realities of different groups.
For market participants, the significance of this discussion is: as tomorrow's CPI data approaches, investors may need to re-examine to what extent a single aggregate indicator can accurately capture the true inflation pressures and consumer behavior divergence in the current economic cycle—and this divergence is precisely the key variable for understanding the Fed's policy path and consumption-side risks.
