G2TT
来源类型Discussion paper
规范类型论文
来源IDDP4627
DP4627 Sequential Information Flow and Real-Time Diagnosis of Swiss Inflation: Intra-Monthly DCF Estimates for a Low-Inflation Environment
Andreas Fischer; Marlene Amstad
发表日期2004-09-23
出版年2004
语种英语
摘要The timely release of macroeconomic data imposes a distinct structure on the panel: the clustering and sequential ordering of real and nominal variables. We call this orderly release of economic data sequential information flow. The ordered panel generates a new class of restrictions that are helpful in interpreting the real-time estimates of monthly core inflation through the identification of turning points and structural shocks. After establishing the sought-after properties (of smoothness, stability, and forecasting) for core inflation, we turn to the discussion of real-time diagnosis for a low inflation environment. This is done in the context of weekly estimates of Swiss inflation. The intra-monthly estimates for core inflation find that it is worthwhile to update this measure at least twice a month.
主题International Macroeconomics
关键词Common factors inflation Sequential information flow
URLhttps://cepr.org/publications/dp4627
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/533547
推荐引用方式
GB/T 7714
Andreas Fischer,Marlene Amstad. DP4627 Sequential Information Flow and Real-Time Diagnosis of Swiss Inflation: Intra-Monthly DCF Estimates for a Low-Inflation Environment. 2004.
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