全球智库信息集成服务系统(G2TT): DP7176 On the Statistical Identification of DSGE Models

G2TT

来源类型	Discussion paper
规范类型	论文
来源ID	DP7176
	DP7176 On the Statistical Identification of DSGE Models
	Carlo A. Favero; Agostino Consolo; Alessia Paccagnini
发表日期	2009-02-23
出版年	2009
语种	英语
摘要	The paper uses annual data on real GDP for the UK regions and 12 manufacturing sectors to derive regional and regional/sectoral business cycles using an H-P filter. The cohesion of the cycles is examined via cross-correlations and comparisons made with the regional cycles for Japan, the United States and the EuroArea. The UK emerges as especially cohesive and efforts to explain the overall cross-correlations of regional GDP not very successful owing to the low variance of the explicand; when attention is turned to the sectoral/regional cycles, with their greater variance it is possible to demonstrate that economic variables such as distance, dissimilarity in structure and level of output play a significant role in explaining the variance in the cross-correlations. A significant feature of the cross-correlations in relation to those of EU countries is that whilst they continue to provide support for the ?UK idiosyncrasy? they no longer do so as strongly as they did in earlier data samples.
主题	International Macroeconomics ; International Trade and Regional Economics
关键词	Intranational business cycle Regional business cycles Income convergence Hodrick-prescott filter Euro-sympathy
URL	https://cepr.org/publications/dp7176
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/536013
推荐引用方式 GB/T 7714	Carlo A. Favero,Agostino Consolo,Alessia Paccagnini. DP7176 On the Statistical Identification of DSGE Models. 2009.