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Austan Goolsbee dismisses the practical utility of R-star (the neutral rate of interest) for making immediate monetary policy decisions. He likens it to Sasquatch: a concept that exists but is unobservable in real-time, making it unhelpful for deciding the next policy move.
AEI economist Michael Strain argues the economy’s strength despite higher rates suggests the neutral federal funds rate—one that neither stimulates nor restricts growth—is significantly higher than the Fed's ~3% estimate. This implies current monetary policy may not be as restrictive as widely believed.
Austan Goolsbee clarifies a key distinction in Fed communication. He supports communicating the Fed's "reaction function"—its worldview and how it interprets data. He opposes "forward guidance," which he defines as pre-committing to future rate moves, as it ties the Fed's hands and increases volatility.
Fed Governor Stephen Myron argues Trump's policies will lower the neutral rate, necessitating aggressive rate cuts. Conversely, Bloomberg Economics’ model suggests these same policies—like massive government borrowing and fracturing trade alliances that reduce foreign capital inflows—will significantly increase the neutral rate, highlighting the concept's deep ambiguity in practice.
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.
Because the neutral rate of interest (R-star) is a theoretical, unobservable concept, policymakers can manipulate its estimated value to justify their desired interest rate policies. This allows them to argue for rate cuts or hikes based on a non-falsifiable premise, making it a convenient political tool rather than a purely objective economic guide.
Despite nominal interest rates at zero for years, the 2010s economy saw stubbornly high unemployment and below-target inflation. This suggests monetary policy was restrictive relative to the era's very low "neutral rate" (R-star). The low R-star meant even zero percent rates were not stimulative enough, challenging the narrative of an "easy money" decade.
The economy's resilience to rate hikes suggests the Fed's estimate of the neutral rate (R-star) is too low. The current model is overly influenced by the "extraordinary period" after the 2008 financial crisis. The true neutral nominal rate is likely closer to 4%, meaning current policy is still accommodative.
A single neutral interest rate may not exist. There could be one R-star for the investment-heavy AI sector and another for housing. A separate R-star might even be needed for financial stability. This divergence means the Fed faces a policy trade-off where a rate that balances one part of the economy could destabilize another.
Technological revolutions like AI boost productivity, which increases the neutral interest rate (r-star). Central banks that cut policy rates below this new, higher r-star risk creating asset bubbles and inflation, a mistake former Fed Chair Greenspan made during the dot-com boom, according to economist Paul Samuelson.
The Fed consistently underestimates inflation and growth because its policy is anchored to a flawed model (HLW) suggesting a 3.1% neutral rate. More adaptive models and real-world data from interest-rate sensitive sectors point to a neutral rate closer to 4.5%, explaining why current policy is actually stimulative, not restrictive.