Shesadri Banerjee
Indian Economy During the Era of Quantitative Easing: A Dynamic Stochastic General Equilibrium Perspective
Banerjee, Shesadri; Basu, Parantap
Authors
Professor Parantap Basu parantap.basu@durham.ac.uk
Professor
Contributors
Chetan Ghate
Editor
Kenneth M. Kletzer
Editor
Abstract
The effect of external Quantitative Easing (QE) on a small open economy like India is analyzed using a dynamic stochastic general equilibrium (DSGE) model. The modeling is motivated by some broad empirical regularities of the Indian economy during the pre and post-QE periods . QE is modeled as a negative shock to the short term foreign policy rate with a mean reverting pattern. The mean reversion reflects the phasing out of the QE operation. In addition, we analyze the “news” effect of the tapering out phase of QE. Our model has standard real and nominal frictions as in any New Keynesian model. Monetary policy is modeled by the forward looking inflation targeting Taylor rule . We show that the impact and news effects of QE work through this terms of trade via the uncovered interest parity condition. Using our DSGE model, we also compare the effect of a QE shock with a domestic fiscal spending shock. The model impulse response functions qualitatively support some key empirical regularities of the Indian economy during the QE era.
Citation
Banerjee, S., & Basu, P. (2016). Indian Economy During the Era of Quantitative Easing: A Dynamic Stochastic General Equilibrium Perspective. In C. Ghate, & K. M. Kletzer (Eds.), Monetary policy in India : a modern macroeconomic perspective (549-580). Springer Verlag. https://doi.org/10.1007/978-81-322-2840-0_17
Online Publication Date | Nov 25, 2016 |
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Publication Date | Nov 25, 2016 |
Deposit Date | Apr 5, 2016 |
Publisher | Springer Verlag |
Pages | 549-580 |
Book Title | Monetary policy in India : a modern macroeconomic perspective. |
ISBN | 9788132228387 |
DOI | https://doi.org/10.1007/978-81-322-2840-0_17 |
Public URL | https://durham-repository.worktribe.com/output/1643011 |
Contract Date | Apr 1, 2016 |
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