The economic impact of conflict-related and policy uncertainty shocks: The case of Russia

Marina Diakonova, Corinna Ghirelli, Luis Molina, Javier J. Pérez
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Abstract

We show that policy uncertainty and conflict-related shocks impact the dynamics of economic activity (GDP) in Russia. We use alternative indicators of “conflict”, referring 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 yield economic slowdown, with a persistent drop in GDP growth and a short-lived but large increase in country risk.

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冲突相关和政策不确定性冲击的经济影响:以俄罗斯为例
我们表明,政策的不确定性和冲突相关的冲击会影响俄罗斯经济活动的动态。我们使用“冲突”的替代指标,指的是这一总体概念的具体方面:地缘政治风险、社会动荡、政治暴力的爆发以及升级为内部武装冲突。对于政策不确定性,我们采用了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实证方法。第一个是基于时间序列混合频率预测模型:我们表明,即使在控制一组全面的标准高频宏观金融变量时,这些指标也为短期预测GDP提供了有用的信息。第二种方法是SVAR模型。我们表明,对选定指标的负面冲击导致经济放缓,国内生产总值增长持续下降,国家风险短暂但大幅增加。
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来源期刊
International Economics
International Economics Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
6.30
自引率
0.00%
发文量
74
审稿时长
71 days
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