Determinants of Monetary Policy: An Application of Regime Switching Model

IF 0.3 Q4 ECONOMICS
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引用次数: 0

Abstract

The monetary policy of India has undergone substantial changes since 2013, particularly after taper tantrum episodes. The RBI moved from WPI to CPI for measuring inflation. Monetary policy anchoring shifted from a multiple-indicator approach (MIA) to flexible inflation targeting (FIT) in 2016 to deal with the aftermath of the global financial crisis. In this context, the study examined whether there was a significant shift in the monetary policy regime using a non-linear model (Markov Switching-Vector Autoregression Model) covering monthly data from 2013 to 2020. The study also investigated the role of the inflation rate, oil price, growth rate, and exchange rate in influencing monetary policy in India. The study found no change in the RBI monetary policy regime, and monetary policy remained biased towards controlling the inflation rate. Keywords: Monetary policy, MS-VAR, regime change, Taylor Rule JEL Codes: E44, E52, E58.
货币政策的决定因素:制度转换模型的应用
自 2013 年以来,印度的货币政策发生了重大变化,尤其是在缩减货币供应量之后。印度央行将衡量通胀的指标从 WPI 转向 CPI。2016 年,货币政策锚定从多重指标法(MIA)转向灵活的通胀目标法(FIT),以应对全球金融危机的后果。在此背景下,本研究使用非线性模型(马尔科夫转换矢量自回归模型)研究了货币政策制度是否发生了重大转变,该模型涵盖了 2013 年至 2020 年的月度数据。研究还调查了通货膨胀率、石油价格、增长率和汇率对印度货币政策的影响作用。研究发现,印度央行的货币政策体系没有发生变化,货币政策仍然偏向于控制通货膨胀率。关键词货币政策、MS-VAR、制度变迁、泰勒规则JEL Codes:E44, E52, E58.
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来源期刊
CiteScore
0.50
自引率
50.00%
发文量
66
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