Inflation volatility under rational inattention: A semi-parametric model and the directional volatility ratio

We propose a semi-parametric volatility model to estimate inflation volatility within a conceptual framework that incorporates rational inattention and price stickiness. The model is applied to inflation data for Germany, France, Spain, the Eurozone, the United States, the United Kingdom, Japan, and Canada over the period 2002–2024, and the United States during the Great Inflation and Moderation (1965–1990). Our estimator outperforms standard parametric and non-parametric alternatives in forecasting inflation volatility and exhibits a strong empirical relationship with survey-based measures of inflation uncertainty. We also introduce the Directional Volatility Ratio (DVR), a novel measure that captures time-varying asymmetries in the relationship between inflation levels and volatility. This measure is effective for tracking shifting inflation trends, identifying turning points, and characterizing inflation risk across different regimes. • We develop a semiparametric model of inflation volatility under rational inattention. • It outperforms parametric and non-parametric benchmarks in volatility forecasts. • Our inflation volatility is closely linked to survey-based measures of uncertainty. • We introduce the Directional Volatility Ratio to capture asymmetric inflation risks. • The DVR helps track inflation trends, turning points, and regime-dependent risks.

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Publication Details

Journal
Economic Modelling
Published
2026-01-29
DOI
https://doi.org/10.1016/j.econmod.2026.107516
Primary Topic
Financial Risk and Volatility Modeling
Type
article
Field-Weighted Citation Impact
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article

Inflation volatility under rational inattention: A semi-parametric model and the directional volatility ratio

David E. Guerrero, Alfredo García‐Hiernaux, Maria T. Gonzalez-Perez
Economic Modelling
Financial Risk and Volatility Modeling
article

Inflation volatility under rational inattention: A semi-parametric model and the directional volatility ratio

David E. Guerrero, Alfredo García‐Hiernaux, Maria T. Gonzalez-Perez
article en

Abstract

We propose a semi-parametric volatility model to estimate inflation volatility within a conceptual framework that incorporates rational inattention and price stickiness. The model is applied to inflation data for Germany, France, Spain, the Eurozone, the United States, the United Kingdom, Japan, and Canada over the period 2002–2024, and the United States during the Great Inflation and Moderation (1965–1990). Our estimator outperforms standard parametric and non-parametric alternatives in forecasting inflation volatility and exhibits a strong empirical relationship with survey-based measures of inflation uncertainty. We also introduce the Directional Volatility Ratio (DVR), a novel measure that captures time-varying asymmetries in the relationship between inflation levels and volatility. This measure is effective for tracking shifting inflation trends, identifying turning points, and characterizing inflation risk across different regimes. • We develop a semiparametric model of inflation volatility under rational inattention. • It outperforms parametric and non-parametric benchmarks in volatility forecasts. • Our inflation volatility is closely linked to survey-based measures of uncertainty. • We introduce the Directional Volatility Ratio to capture asymmetric inflation risks. • The DVR helps track inflation trends, turning points, and regime-dependent risks.

Economic ModellingVol. 157
Universidad Complutense de Madrid (ES), Bank of Spain (ES), Centro de Estudios Monetarios y Financieros (ES)
Decent work and economic growth
Openalex Percentile: Top 77%
Financial Risk and Volatility Modeling
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Inflation volatility under rational inattention: A semi-parametric model and the directional volatility ratio — David E. Guerrero, Alfredo García‐Hiernaux, et al. · Economic Modelling (2026) | TGRS Research Map | TGRS