Due to budget cuts at the Bureau of Labor Statistics (BLS), roughly 20% of all prices in the CPI are now imputed, up from just 2-3% a year ago. This increases the margin of error and reduces confidence in official inflation statistics.
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Inaccurate headline statistics are not just academic; they actively shape policy. The misleading Consumer Price Index (CPI), for example, is used to determine Social Security benefits, food assistance eligibility, and state-level minimum wages. This means policy decisions are based on a distorted view of economic reality, leading to ineffective outcomes.
Beyond budget cuts, a major threat to data reliability is a staffing crisis at the Bureau of Labor Statistics, where one-third of senior leadership positions are vacant. This loss of experienced personnel erodes institutional knowledge and resilience, increasing the risk of un-caught errors.
The host argues that the Consumer Price Index (CPI) is misunderstood. It is not a simple collection of observed prices but a complex calculation involving a significant number of "imputed" or estimated values. Understanding this is crucial to interpreting inflation data correctly.
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.
The CPI averages costs across 80,000 items, many of which are non-essentials or luxury goods. This method masks the true, higher inflation rate on basic necessities. For example, while the CPI showed a 72% cost increase over two decades, the actual cost of essentials like housing, food, and healthcare rose by a much larger 97%.
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.
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 BLS assumed 0% October inflation for 88% of the CPI basket due to the government shutdown. This creates a false signal of rapidly cooling inflation and will distort year-over-year data for the next 12 months, rendering the report effectively "junk."
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.