G2TT
来源类型Discussion paper
规范类型论文
来源IDDP9858
DP9858 Structural FECM: Cointegration in large-scale structural FAVAR models
Anindya Banerjee; Massimiliano Marcellino; Igor Masten
发表日期2014-03-02
出版年2014
语种英语
摘要Starting from the dynamic factor model for non-stationary data we derive the factor-augmented error correction model (FECM) and, by generalizing the Granger representation theorem, its moving-average representation. The latter is used for the identification of structural shocks and their propagation mechanism. Besides discussing contemporaneous restrictions along the lines of Bernanke et al. (2005), we show how to implement classical identification schemes based on long-run restrictions in the case of large panels. The importance of the error-correction mechanism for impulse response analysis is analysed by means of both empirical examples and simulation experiments. Our results show that the bias in estimated impulse responses in a FAVAR model is positively related to the strength of the error-correction mechanism and the cross-section dimension of the panel. We observe empirically in a large panel of US data that these features have a substantial effect on the responses of several variables to the identified real shock.
主题International Macroeconomics
关键词Cointegration Dynamic factor models Factor-augmented error correction models Favar Structural analysis
URLhttps://cepr.org/publications/dp9858
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/538692
推荐引用方式
GB/T 7714
Anindya Banerjee,Massimiliano Marcellino,Igor Masten. DP9858 Structural FECM: Cointegration in large-scale structural FAVAR models. 2014.
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