冲突相关冲击和政策不确定性冲击的经济影响:以俄罗斯为例

M. Diakonova, Corinna Ghirelli, Luis Molina, Javier J. Pérez
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引用次数: 15

摘要

我们展示了政策不确定性和冲突相关冲击如何影响俄罗斯经济活动(GDP)的动态。我们使用与这一总体概念的具体方面有关的"冲突"替代指标:地缘政治风险、社会动荡、政治暴力的爆发和升级为内部武装冲突。对于政策不确定性,我们采用主力经济政策不确定性(EPU)指标。我们使用两种不同但互补的经验方法。第一种是基于时间序列混合频率预测模型。我们表明,即使在控制一套全面的标准高频宏观金融变量时,这些指标也为预测短期GDP提供了有用的信息。第二种方法是SVAR模型。我们发现,对选定指标的负面冲击导致经济放缓,GDP增长持续下降,国家风险短暂但大幅增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The economic impact of conflict-related and policy uncertainty shocks: the case of Russia
We show how policy uncertainty and conflict-related shocks impact the dynamics of economic activity (GDP) in Russia. We use alternative indicators of “conflict”, relating to specific aspects of this general concept: geopolitical risk, social unrest, outbreaks of political violence and escalations into internal armed conflict. For policy uncertainty we employ the workhorse economic policy uncertainty (EPU) indicator. We use two distinct but complementary empirical approaches. The first is based on a time series mixed-frequency forecasting model. We show that the indicators provide useful information for forecasting GDP in the short run, even when controlling for a comprehensive set of standard high-frequency macro-financial variables. The second approach, is a SVAR model. We show that negative shocks to the selected indicators lead to economic slowdown, with a persistent drop in GDP growth and a short-lived but large increase in country risk.
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