High‐Frequency Instruments With Time‐Varying Reliability: Understanding Identification in Macroeconomics

ABSTRACT The effects of monetary policy shocks are regularly estimated using high‐frequency surprises in asset prices around central bank meetings as an instrument. These studies, insofar as they explicitly model the relationship between instrument and structural shock, assume a constant relationship between the instrument and the monetary policy shock. By allowing for time variation in this relationship, we show that only a few distinct periods are informative about monetary policy shocks. Therefore, we build a narrative for instrument‐based identification. For the instrument in Gertler and Karadi, the effect on the (log) price level is almost 50% larger than the standard specification would suggest.

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Publication Details

Journal
Journal of Applied Econometrics
Published
2026-03-31
DOI
https://doi.org/10.1002/jae.70054
Primary Topic
Monetary Policy and Economic Impact
Type
article
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article

High‐Frequency Instruments With Time‐Varying Reliability: Understanding Identification in Macroeconomics

Mu‐Chun Wang, Christian Matthes, Pooyan Amir‐Ahmadi
Journal of Applied Econometrics
Monetary Policy and Economic Impact
article

High‐Frequency Instruments With Time‐Varying Reliability: Understanding Identification in Macroeconomics

Mu‐Chun Wang, Christian Matthes, Pooyan Amir‐Ahmadi
article en

Abstract

ABSTRACT The effects of monetary policy shocks are regularly estimated using high‐frequency surprises in asset prices around central bank meetings as an instrument. These studies, insofar as they explicitly model the relationship between instrument and structural shock, assume a constant relationship between the instrument and the monetary policy shock. By allowing for time variation in this relationship, we show that only a few distinct periods are informative about monetary policy shocks. Therefore, we build a narrative for instrument‐based identification. For the instrument in Gertler and Karadi, the effect on the (log) price level is almost 50% larger than the standard specification would suggest.

Journal of Applied Econometrics
University of Notre Dame (US), Amazon (United States) (US), Deutsche Bundesbank (DE)
Openalex Percentile: Top 38%
Monetary Policy and Economic Impact
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