Shock-Dependent Exchange Rate Pass-Through: Evidence Based on a Narrative Sign Approach

49 Pages Posted: 29 Apr 2020

See all articles by Lian An

Lian An

University of North Florida

Mark A. Wynne

Federal Reserve Bank of Dallas

Ren Zhang

Bowling Green State University

Multiple version iconThere are 2 versions of this paper

Date Written: February, 2020

Abstract

This paper studies shock-dependent exchange rate pass-through for Japan with a Bayesian structural vector autoregression model. We identify the shocks by complementing the traditional sign and zero restrictions with narrative sign restrictions related to the Plaza Accord. We find that the narrative sign restrictions are highly informative, and substantially sharpen and even change the inferences of the structural vector autoregression model originally identified with only the traditional sign and zero restrictions. We show that there is a significant variation in the exchange rate pass-through across different shocks. Nevertheless, the exogenous exchange rate shock remains the most important driver of exchange rate fluctuations. Finally, we apply our model to “forecast” the dynamics of the exchange rate and prices conditional on certain foreign exchange interventions in 2018, which provides important policy implications for our shock-identification exercise.

Keywords: Inflation Forecasting, Narrative Sign Restrictions, Exchange Rate Pass-Through, Structural Scenario Analysis

JEL Classification: E31, F31, F41

Suggested Citation

An, Lian and Wynne, Mark A. and Zhang, Ren, Shock-Dependent Exchange Rate Pass-Through: Evidence Based on a Narrative Sign Approach (February, 2020). Globalization and Monetary Policy Institute Working Paper No. 379, Available at SSRN: https://ssrn.com/abstract=3587641 or http://dx.doi.org/10.24149/gwp379

Lian An (Contact Author)

University of North Florida ( email )

4567 St. Johns Bluff Road, South
Jacksonville, FL 32224-2645
United States

Mark A. Wynne

Federal Reserve Bank of Dallas ( email )

PO Box 655906
Dallas, TX 75265-5906
United States
214-922-5159 (Phone)
214-922-5194 (Fax)

Ren Zhang

Bowling Green State University ( email )

Department of Psychology
Bowling Green, OH 43403
United States

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