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Austan Goolsbee reveals that while he is data-driven, he increasingly incorporates "vibes" from high-level executives into his decision-making. These real-time anecdotes about business conditions offer a crucial forward-looking perspective that lagging official economic data cannot provide, helping to predict future trends.
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.
The Federal Reserve's decision-making is hampered by its intellectual homogeneity, with too many academic economists from similar backgrounds. True reform requires widening this 'listening aperture' to include diverse perspectives from business leaders and regional representatives to avoid missing real-world economic shifts.
Policymakers are concerned that waiting for clear data on labor market weakness could be too late. They recognize that once layoffs start to "snowball" and feed on each other, the deterioration can accelerate rapidly and non-linearly, making it crucial to be forward-looking rather than reactive to lagging indicators.
Rather than aligning with a fixed policy bias like 'hawk' (favoring higher rates) or 'dove' (favoring lower rates), Austan Goolsbee describes his approach as being a 'data dog.' This philosophy involves sniffing out every piece of information available, including alternative datasets like online price indexes, to form a more complete and unbiased view of the economy.
Kevin Warsh's criticism of the Fed's reliance on data is viewed as dangerous. Data provides a common, objective language for policy debate and builds legitimacy. Abandoning it in favor of subjective judgment or "vibes" could erode the Fed's credibility and open the door to politically motivated, rather than evidence-based, decisions.
While the Fed's official mandate targets hard data like inflation and employment, qualitative 'vibes' from conversations with business leaders are a critical input. A CEO's concern about rising lubricant costs impacting their business in four weeks is a real-time signal that can foreshadow future economic reports, bridging the gap between data and intuition.
Drawing on lessons from the 2008 financial crisis and recent inflation, Austan Goolsbee shares Paul Volcker's advice that a policymaker's most valuable asset is credibility. Maintaining trust by sticking to facts and avoiding speculative promises is crucial for navigating economic turmoil and makes the job easier.
Current economic data showing stable employment is misleading. Private conversations with executives reveal plans for significant efficiency gains through AI that have not yet been realized at scale. This discrepancy suggests the data will eventually reflect job losses once adoption matures.
When major economic data is released, a Fed president's response is not a simple reaction to the headline number. It's a structured process involving a team of research experts who immediately work to "unpack" the details. The real information is often found in the nuances and underlying components, which are then compared to existing models.
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.