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Holston-Laubach-Williams

HLW · HLW model · Laubach-Williams model · Holston-Laubach-Williams r-star estimate

Holston-Laubach-Williams (HLW) is the canonical econometric framework for estimating the natural rate of interest (r-star) using a state-space Kalman filter that jointly extracts r-star, trend growth, and the output gap from data on GDP, inflation, and the real interest rate.

How it works

HLW casts the economy as a state-space system: an IS curve linking the output gap to the real-rate gap, a Phillips curve linking inflation to the output gap, and laws of motion for unobserved trend growth and r-star. A Kalman filter backs out the latent natural rate consistent with output at potential and stable inflation. It extends the original 2003 Laubach-Williams setup to multiple economies.

Why it matters now

With the FOMC's 2025-2026 r-star debate central to how restrictive policy actually is, HLW estimates anchor the market's view that the long-run neutral rate has drifted higher post-pandemic; the New York Fed publishes updated HLW r-star series that desks read against the dot plot's longer-run rate.

Example

The New York Fed's HLW estimates put US r-star near 0.5% in real terms through much of the 2010s, implying a nominal neutral rate around 2.5% at a 2% inflation target — broadly consistent with the FOMC's longer-run dot. Post-2022, market and model debate centered on whether r-star had risen toward 1-1.5% real, materially changing how restrictive a 4.25-4.5% funds rate truly is.

Mechanism

r* ≈ c·g + z, where g = trend growth of potential output and z = other persistent demand/savings factors; jointly filtered with the output gap and trend growth via a Kalman filter.

How desks use it

  • Benchmarking the real funds rate against neutral to gauge policy restrictiveness
  • Cross-checking the FOMC longer-run dot against an independent model r-star series
  • Framing the post-2022 debate over whether neutral has structurally risen

Frequently asked

What is the Holston-Laubach-Williams model?
The Holston-Laubach-Williams (HLW) model is a state-space econometric framework that estimates the natural rate of interest (r-star) using a Kalman filter. It jointly extracts r-star, trend potential growth, and the output gap from observed data on real GDP, inflation, and the real short-term interest rate, and is published as a regular series by the New York Fed.
How does HLW estimate r-star?
HLW estimates r-star by treating it as an unobserved variable inside a system of equations — an IS curve, a Phillips curve, and laws of motion for trend growth. A Kalman filter infers the latent natural rate consistent with output at potential and stable inflation. Crucially, r-star is decomposed as a function of trend growth plus other persistent factors like savings demand.
Why does the HLW r-star estimate matter for monetary policy?
The HLW r-star estimate matters because it benchmarks how restrictive policy actually is: a funds rate above neutral tightens, below neutral eases. In 2025-2026 the FOMC's debate over whether neutral has risen post-pandemic hinges directly on HLW-style estimates read against the dot plot's longer-run rate of roughly 3%.
How does HLW differ from the original Laubach-Williams model?
HLW extends the 2003 Laubach-Williams US model to a multi-country setting, jointly estimating r-star for the United States, euro area, United Kingdom, and Canada. Holston, Laubach, and Williams (2017) showed natural rates declined across all four economies, pointing to common global drivers like demographics and productivity rather than purely domestic factors.
What are the limitations of HLW r-star estimates?
HLW r-star estimates are imprecise, carrying wide confidence bands often exceeding a full percentage point, and are heavily revised as new data arrives. Because r-star is a latent variable filtered from noisy series, the New York Fed suspended publication during the pandemic when COVID-era GDP swings broke the model. Estimates add little forecasting power beyond what they already encode.

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By The Ledger DeskLast reviewed 2026-06-20