G2TT
来源类型Discussion paper
规范类型论文
来源IDDP6367
DP6367 Ever Closer Union or Babylonian Discord? The Official-language Problem in the European Union
Victor Ginsburgh; Jan Fidrmuc; Shlomo Weber
发表日期2007-06-29
出版年2007
语种英语
摘要This paper assesses the performance of Bayesian Vector Autoregression (BVAR) for models of different size. We consider standard specifications in the macroeconomic literature based on, respectively, three and eight variables and compare results with those obtained by larger models containing twenty or over one hundred conjunctural indicators. We first study forecasting accuracy and then perform a structural exercise focused on the effect of a monetary policy shock on the macroeconomy. Results show that BVARs estimated on the basis of hundred variables perform well in forecasting and are suitable for structural analysis.
主题International Macroeconomics
关键词Bayesian var Forecasting Monetary var Large cross-sections
URLhttps://cepr.org/publications/dp6367
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/535206
推荐引用方式
GB/T 7714
Victor Ginsburgh,Jan Fidrmuc,Shlomo Weber. DP6367 Ever Closer Union or Babylonian Discord? The Official-language Problem in the European Union. 2007.
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