A significant downside miss in the US CPI report failed to move markets long-term. Investors quickly understood the deviation was due to a technical inability to collect data, anticipating a corrective "payback" in the next report, thus rendering the print as noise rather than signal.
The recent government shutdown will create a permanent void in crucial economic data for October. While statistics like payrolls might be collected retroactively, survey-based data such as the Consumer Price Index (CPI) and household unemployment figures are likely lost forever due to recall bias, creating a black hole in the historical record.
Investors' inflation expectations remain anchored due to recent disinflationary history and a strong belief in technology's deflationary power. This creates a market where the significant, non-zero risk of a new, higher inflation regime is not properly priced.
Due to budget and staffing cuts at the Bureau of Labor Statistics, more than 33% of the Consumer Price Index is now estimated rather than directly surveyed. This significant increase in imputation questions the reliability of a key metric for economic policy.
Affordable Care Act (ACA) premium subsidies directly impact inflation data by lowering out-of-pocket medical costs measured by the CPI. Their introduction reduced top-line CPI by 0.3 percentage points; if they expire, a "whipsaw" effect could add that same amount back to reported inflation.
Despite official CPI averaging under 2% from 2010-2020, the actual cost of major assets like homes and stocks exploded. This disconnect shows that government inflation data fails to reflect the reality of eroding purchasing power, which is a key driver of public frustration.
Policymakers can maintain market stability as long as inflation volatility remains low, even if the absolute level is above target. A spike in CPI volatility is the true signal that breaks the system, forces a policy response, and makes long-term macro views suddenly relevant.
Former BLS Commissioner Erica Groshen explains that data revisions are a designed feature, offering users a choice between fast but less precise initial data and slower but more accurate final data. It's an intentional balance between timeliness and accuracy.
Large, negative revisions to economic data often occur around major economic turning points. This is because companies hit first by a downturn are more likely to delay reporting their data, which makes the initial economic reports appear stronger than reality.
A key but overlooked issue with the Consumer Price Index (CPI) is the deteriorating quality of data imputation. An increasing percentage of missing data points are being filled using less-similar items ("different cell" imputation). This degradation in methodology introduces a hidden risk to the reliability of the headline inflation numbers.
A government shutdown lasting several weeks poses a greater threat than just delayed reports. Data collection for time-sensitive indicators like the Consumer Price Index becomes impossible or unreliable, as prices can't be collected retroactively and people's recall fades, potentially forcing agencies to skip a month of data entirely.