San Francisco Fed President Mary Daly uses on-the-ground conversations with local business leaders as a 'disciplining device' for official statistics. When a surprisingly strong jobs report was later revised down, it didn't surprise her because the initial number didn't match the cautionary sentiment she was hearing in her district.
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The Bureau of Labor Statistics' decision to delay key employment reports until after the December FOMC meeting has dramatically reduced the probability of a rate cut. This 'data vacuum' forces the Fed to be cautious and lean hawkish, as making a dovish pivot without supporting data is too risky.
Federal Reserve Chair Jerome Powell stated that after accounting for statistical anomalies, "job creation is pretty close to zero." He directly attributes this to CEOs confirming that AI allows them to operate with fewer people, marking a major official acknowledgment of AI's deflationary effect on the labor market.
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.
Fed Chair Powell highlighted that annual benchmark revisions to labor data could reveal that the U.S. economy is already shedding jobs, contrary to initial reports. This statistical nuance, creating a "curious balance" with a stable unemployment rate, makes the Fed more inclined to cut rates to manage this underlying uncertainty.
The Federal Reserve is not 'flying blind' during government shutdowns that halt official statistics. It uses a composite of alternative indicators for the labor market and inflation, providing enough of a signal to stick to its pre-planned policy path, such as proceeding with scheduled interest rate cuts.
Mary Daly compares economic analysis to fly fishing: you can understand the general principles, but success requires deep local knowledge of what 'fly' (or economic factor) is specific to that area. This analogy powerfully illustrates why Fed officials visit diverse regions—to gain the local context that broad national data misses.
The split vote on rate cuts (hawkish vs. dovish) is not merely internal politics. It reflects a fundamental tension between strong consumer activity and AI spending versus a weakening labor market. Future policy hinges on which of these trends dominates.
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.
The FOMC's recent rate cut marks the end of preemptive, "risk management" cuts designed to insure against potential future risks. Future policy changes will now be strictly reactive, depending on incoming economic data. This is a critical shift in the Fed's reaction function that changes the calculus for predicting future moves.
Jerome Powell's "driving in fog" analogy highlights the Fed's strategy of using uncertainty, such as a government shutdown delaying economic data, to justify slowing down policy changes like rate cuts. This gives them flexibility to guide markets later through speeches without being locked into a specific path.
