Regulatory Effects of the Combinations of Aggregate and Structural Monetary Policy Instruments: an application of New Keynesian DSGE model to China

Li-Hui Wang and Fu-An Li

Economic Analysis and Policy, 2024, vol. 84, issue C, 1120-1143

Abstract: This paper selects Chinese macroeconomic data from the first quarter of 2009 to the first quarter of 2020 and employs a New Keynesian dynamic stochastic general equilibrium model that incorporates the financial accelerator mechanism, price stickiness, and invisible government guarantees. The regulatory effects of different combinations of monetary policy instruments are compared from five perspectives: the shock effect of monetary policy, the magnitude of economic volatility of non-monetary policy shocks, the Central Bank loss function, the gap in the distribution of household income, and the heterogeneous firm external financing premium. Our findings indicate that the regulatory effects of the aggregate price-based and structural quantity-based monetary policy instrument combination are optimal, a conclusion that is further supported by the robustness test. It is therefore recommended that the Central Bank consider the potential benefits of a combined approach to aggregate and structural monetary policy instruments, with a view to enhancing credit availability for the real economy. This paper represents a significant contribution to the field, as it is the first to explicitly propose four distinct monetary policy instrument combinations, thereby overcoming the limitations of previous studies that have focused on a single instrument or a narrow range of instruments. The paper also contributes to the theoretical understanding of monetary policy instruments.

Keywords: Aggregate monetary policy; Structural monetary policy; Combination of monetary policy instruments; Dynamic stochastic general equilibrium model (search for similar items in EconPapers)
JEL-codes: C51 E52 O23 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecanpo:v:84:y:2024:i:c:p:1120-1143

DOI: 10.1016/j.eap.2024.10.002

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