Lecture 1A: Using the Taylor rule in practice
In the previous chapter the rule looked exact. In practice three of its ingredients are choices, not facts: which inflation number you use (headline or core, this year's or a forecast), what the neutral real rate r* is (nobody observes it; it is estimated, and estimates disagree), and how you measure the output gap (potential output is also an estimate). Change one choice and the prescribed rate can move by a full percentage point or more. That is not a weakness of the exercise; it is the point of this course: you learn to make those choices explicit and defend them with data.
Exercise: where "should" the ECB's rate be in September 2026?
Data: HICP inflation 3.3%, core about 2.5%, actual DFR 2.50%; assume an output gap of 0.
| Choice | π | r* | Prescription |
|---|---|---|---|
| Taylor (1993) as is | 3.3 | 2.0 | 2 + 3.3 + 0.5(1.3) = 5.95% |
| Lower r* | 3.3 | 0.5 | 0.5 + 3.3 + 0.65 = 4.45% |
| Core inflation, lower r* | 2.5 | 0.5 | 0.5 + 2.5 + 0.25 = 3.25% |
The answer moves by almost 3 percentage points just by changing assumptions. Which inflation measure, which r*, which gap? Those choices are the heart of the course. (These are illustrations, not official estimates.)
What you can change in the rule
- Inflation measure: CPI, PCE, core, HICP, or forecasts of inflation.
- Neutral rate r*: fixed at 2%, or estimated with models (Laubach-Williams, Holston-Laubach-Williams). Recent estimates are often much lower than 2%.
- Activity measure: the GDP gap, or the unemployment gap (how far unemployment is from its normal level).
- Weight on the gap: 0.5 or 1.0.
- Interest rate smoothing: central banks move in small steps instead of jumping straight to the prescription: it = ρit−1 + (1 − ρ)itTaylor, typically ρ ≈ 0.85. Example: last rate 2%, Taylor prescription 6%: i = 0.85 × 2 + 0.15 × 6 = 1.7 + 0.9 = 2.6%. The rate moves only 15% of the way each period.
If the rule says 6% and the rate is 2%, why not jump to 6% at once? Because the inputs are uncertain and get revised, because a sudden jump can unsettle banks and markets, and because moving gradually lets the central bank watch how the economy reacts. Smoothing captures this: each period the rate moves only part of the way (with ρ = 0.85, fifteen percent of the gap). After one step the rate is 2.6%, after two 3.11%, after three about 3.5%; it keeps closing the gap but never overshoots. In regressions this is why last period's rate is such a strong predictor of this period's rate.
The Atlanta Fed Taylor Rule Utility
An online tool from the Federal Reserve Bank of Atlanta that computes the Taylor-rule rate for the US since 1985 and plots it next to the actual federal funds rate. You choose the inflation measure, target, r*, gap measure, weight and smoothing (up to three rules at once). Episodes to look at:
- 2003-2005: the actual rate was below the rule: rates too low before the financial crisis, Taylor's own criticism.
- 2009-2015: the rule prescribed negative rates while the Fed was stuck at zero (the ZLB).
- 2021-2022: the rule rose well before the actual rate: was the Fed "behind the curve" on inflation?
There is no such tool for the ECB; in the course you build that rule yourself.
The four questions of the course
- Mandate: does the Fed react more to the output gap than the ECB, as its dual mandate suggests?
- Exchange rate: does the exchange rate enter the rule, although neither mandate mentions it?
- Symmetry: do central banks react equally strongly to inflation above and below target? Did this change after 2021 (ECB) and 2025 (Fed)?
- Data or forecasts: do they react to current inflation or to their own forecasts?
And for the euro: one interest rate for twenty-plus countries in different situations. For whom is the ECB's rate "right"?
Andere hoofdstukken van International Monetary Relations and Policy
- Lecture 1A: The basics and the course
- Lecture 1A: Central bank mandates and the policy rate
- Lecture 1A: The interest rate corridor
- Lecture 1A: The Taylor rule and the Taylor principle
- Lecture 1B: The balance of payments
- Lecture 1B: Reading current accounts and trade wars
- Lecture 1B: The NIIP and valuation changes
- Lecture 1B: The NIIP-NII paradox
- Lecture 1B: Common mistakes and summary
- Lecture 2A: Why build the New Keynesian model
- Lecture 2A: Households: the Euler equation and labor supply
- Lecture 2A: Firms: demand, markups and sticky prices
- Lecture 2A: From marginal cost to the three equations
- Lecture 2A: How the model works: transmission and shocks