单一货币政策影响的变化:以俄罗斯地区为例

V. Napalkov, A. Novak, Andrey Shulgin
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引用次数: 3

摘要

本文以俄罗斯为例,分析了核心通货膨胀对单一货币政策冲击反应的地区异质性。本文利用一个全局向量自回归模型揭示了俄罗斯地区核心通胀对货币政策冲击的脉冲响应函数。区域核心通货膨胀对MIACR冲击1个百分点(pp)的平均5年累积响应为-0.74 pp。在80个地区中,有77个地区的5年累积核心通货膨胀响应具有统计显著性。如果我们排除三个统计上不显著的响应,并丢弃响应最高和最低的四个区域,我们得到-0.55到-0.93 pp的差值,标准差为0.12。我们发现,在一年的时间跨度内,对货币政策冲击的异质性反应可以适度降低区域通胀对汇率冲击的异质性反应。然而,这种影响的程度是有限的。根据区域异质性因素分析,一个地区的采掘业占地区生产总值比重、制造业贷款比重、小企业贷款比重以及失业率越高,核心通货膨胀对货币政策冲击的反应就越强。俄罗斯地区对货币政策冲击的核心通胀反应的异质性程度、解释这种异质性的一组因素以及被解释的区域反应差异(取决于模型规格的30-40%)与其他具有明显区域异质性的国家的类似指标相当。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Variations in the Effects of a Single Monetary Policy: The Case of Russian Regions
This research analyses regional heterogeneity in the reaction of core inflation to shocks of a single monetary policy on the example of Russia. We use a global vector autoregression model to reveal impulse response functions of core inflation in Russian regions to monetary policy shocks. The average 5-year cumulative response of regional core inflation to a MIACR shock of 1 percentage point (pp) is ‒0.74 pp. For 77 out of 80 regions, the 5-year cumulative core inflation response is found to be statistically significant. If we exclude three statistically insignificant responses and discard the four regions with the highest and lowest responses, we get a spread of ‒0.55 to ‒0.93 pp with a standard deviation of 0.12. We show that, over a one-year horizon, the heterogeneous response to monetary policy shocks can moderately reduce the heterogeneity of the response of regional inflation to exchange rate shocks. However, the magnitude of this effect is limited. According to the analysis of the regional heterogeneity factors, the higher are the share of extractive industries in the gross regional product of a region, the share of loans to manufacturing sector, the share of loans to small enterprises, as well as the unemployment rate, the stronger will be the reaction of the core inflation to the monetary policy shock. The degree of heterogeneity in the Russian regions’ core inflation response to monetary policy shocks, the set of factors explaining this heterogeneity, and the explained variation in the regional response (30–40% depending on the model specification) turn out to be comparable to similar indicators in other countries with pronounced regional heterogeneity.
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