What Regional Data Tell Us About the Euro Area Phillips Curve

Why It Matters

The findings reveal that euro‑area inflation is less responsive to slack than previously thought, making expectation management crucial for effective monetary policy.

Key Takeaways

• Regional data yields Phillips curve slope around -0.10
• Accounting for expectations flattens slope to near zero
• Within-country unemployment dispersion challenges uniform country assumptions
• Non‑linearities disappear when expectations are controlled
• Flatter curve reduces monetary policy transmission effectiveness

Pulse Analysis

The study marks a methodological shift by moving from aggregate country figures to a granular panel of 168 NUTS‑2 regions. This richer dataset captures substantial intra‑national variation in unemployment, allowing researchers to isolate the true inflation‑slack link while holding constant regional characteristics and common euro‑area shocks. By applying region and time fixed effects, the authors uncover a Phillips‑curve slope of roughly –0.19, a ten‑fold increase over traditional country‑level estimates, highlighting the analytical power of sub‑national data.

A second layer of analysis introduces national inflation expectations, both through professional one‑year‑ahead forecasts and via country‑time fixed effects that proxy broader expectation dynamics. Incorporating these expectations compresses the estimated slope to –0.12 and, in the most stringent specification, to –0.02, effectively flattening the curve. The research also tests for non‑linear behavior, finding that any apparent steepening at low unemployment levels dissipates once expectations are controlled, indicating that perceived non‑linearities may be expectation‑driven rather than structural.

For policymakers, especially the ECB, the implications are clear: with a flatter, largely expectation‑driven Phillips curve, traditional interest‑rate adjustments have limited impact on inflation via the demand channel. Credibility and anchoring of inflation expectations become the primary levers for price stability. The findings encourage a tighter focus on communication strategies and expectation‑management tools, while also suggesting that future macro‑models should integrate regional heterogeneity and expectation mechanisms to better forecast inflation dynamics.