G2TT
来源类型Discussion paper
规范类型论文
来源IDDP7746
DP7746 Short-Term Inflation Projections: a Bayesian Vector Autoregressive approach
Domenico Giannone; Michele Lenza; Luca Onorante; Daphne Momferatou
发表日期2010-03-21
出版年2010
语种英语
摘要In this paper, we construct a large Bayesian Vector Autoregressive model (BVAR) for the Euro Area that captures the complex dynamic inter-relationships between the main components of the Harmonized Index of Consumer Price (HICP) and their determinants. The model is estimated using Bayesian shrinkage. We evaluate the model in real time and find that it produces accurate forecasts. We use the model to study the pass-through of an oil shock and to study the evolution of inflation during the global financial crisis.
主题International Macroeconomics
关键词Bayesian var Forecast inflation
URLhttps://cepr.org/publications/dp7746
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/536582
推荐引用方式
GB/T 7714
Domenico Giannone,Michele Lenza,Luca Onorante,et al. DP7746 Short-Term Inflation Projections: a Bayesian Vector Autoregressive approach. 2010.
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