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Inflation and inflation-uncertainty in India: the policy implications of the relationship

机译:印度的通货膨胀和通货膨胀不确定性:这种关系的政策含义

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Purpose - Inflation and its related uncertainty can impose costs on real economic output in any economy. This paper aims to analyze the relationship between inflation and inflation uncertainty in India. Design/methodology/approach - The methodology uses a generalized autoregressive conditional heteroscedasticity (GARCH) model and Granger Causality test. Findings - Initial estimates show the inflation rate to be a stationary process. The maximum likelihood estimates from the GARCH model reveal strong support for the presence of a positive relationship between the level of inflation and its uncertainty. The Granger causality results indicate a feedback between inflation and uncertainty. Research limitations/implications - The research results have important implication for policy makers and especially the Reserve Bank of India. Practical implications - It provides strong support to the notion of an opportunistic central bank in India. Originality/value - The results of the paper are of relevance not only to the monetary policy makers but also to academicians in India and other developing countries.
机译:目的-通货膨胀及其相关的不确定性会给任何经济体的实际经济产出带来成本。本文旨在分析印度通胀与通胀不确定性之间的关系。设计/方法/方法-该方法使用广义自回归条件异方差(GARCH)模型和Granger因果检验。调查结果-初步估计表明通货膨胀率是一个平稳的过程。 GARCH模型的最大似然估计显示出强烈支持通货膨胀水平与其不确定性之间存在正相关关系。格兰杰因果关系结果表明通胀和不确定性之间存在反馈。研究局限性/意义-研究结果对决策者,尤其是印度储备银行具有重要意义。实际意义-它为印度机会主义中央银行的概念提供了有力的支持。原创性/价值-本文的结果不仅与货币政策制定者有关,而且与印度和其他发展中国家的学者有关。

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