Quantifying the Federal Reserve's objectives using a structural vector autoregressive model

Abstract The objective of the Federal Reserve (the Fed), namely, its dovish stance, is often blamed for the so‐called Great Inflation. A popular proxy for the Fed's dovish stance is constructed using the inflation coefficients in estimated Taylor rules. However, for a welfare‐optimizing central bank, the estimated Taylor coefficients are not sufficient for inferring its underlying preference. We quantify the Fed's objective—the targeting rule—relying on a conditional estimator that is free of the classical simultaneity problem. We discover that the Fed's targeting rule remained stable during the pre‐ and post‐Volcker periods—the opposite of what is implied through a Taylor rule estimation.

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Publication Details

Journal
Economica
Published
2025-02-04
DOI
https://doi.org/10.1111/ecca.12571
Primary Topic
Monetary Policy and Economic Impact
Type
article
Field-Weighted Citation Impact
0.00

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article

Quantifying the Federal Reserve's objectives using a structural vector autoregressive model

Shengliang Ou, Donghai Zhang
Economica
Monetary Policy and Economic Impact
article

Quantifying the Federal Reserve's objectives using a structural vector autoregressive model

Shengliang Ou, Donghai Zhang
article en

Abstract

Abstract The objective of the Federal Reserve (the Fed), namely, its dovish stance, is often blamed for the so‐called Great Inflation. A popular proxy for the Fed's dovish stance is constructed using the inflation coefficients in estimated Taylor rules. However, for a welfare‐optimizing central bank, the estimated Taylor coefficients are not sufficient for inferring its underlying preference. We quantify the Fed's objective—the targeting rule—relying on a conditional estimator that is free of the classical simultaneity problem. We discover that the Fed's targeting rule remained stable during the pre‐ and post‐Volcker periods—the opposite of what is implied through a Taylor rule estimation.

EconomicaVol. 92(366)
National University of Singapore (SG), Shanghai Jiao Tong University (CN)
International Association for Applied Econometrics
Openalex Percentile: Top 97%
Monetary Policy and Economic Impact
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Quantifying the Federal Reserve's objectives using a structural vector autoregressive model — Shengliang Ou, Donghai Zhang · Economica (2025) | TGRS Research Map | TGRS