Measuring Monetary Policy in the Euro Area Using SVARs with Residual Restrictions
利用高频金融数据对结构向量自回归残差施加符号和幅度限制，识别欧元区货币政策冲击，发现其对宏观经济变量有明确影响，且避免了央行信息效应。
This study measures the effects of monetary policy in the euro area using a small number of sign and magnitude restrictions on the residuals of a structural vector autoregression. We derive the dates and directions of these shocks from high-frequency financial market data around official European Central Bank policy announcements. Based on an in-depth narrative analysis and a comparison of the results with those of a standard high-frequency approach, we argue that our approach is purged from central bank information effects. Despite our rather agnostic identification strategy, we find clear and conclusive effects of monetary policy shocks on a wide range of macroeconomic variables.