G2TT
来源类型Discussion paper
规范类型论文
来源IDDP5477
DP5477 Rags in the High Rent District: The Evolution of Quota Rents in Textiles and Clothing
Joseph Francois; Julia Wörz
发表日期2006-02-06
出版年2006
语种英语
摘要We explore whether forecasting an aggregate variable using information on its disaggregate components can improve the prediction mean squared error over first forecasting the disaggregates and then aggregating those forecasts, or, alternatively, over using only lagged aggregate information in forecasting the aggregate. We show theoretically that the first method of forecasting the aggregate should outperform the alternative methods in population. We investigate whether this theoretical prediction can explain our empirical findings and analyse why forecasting the aggregate using information on its disaggregate components improves forecast accuracy of the aggregate forecast of euro area and US inflation in some situations, but not in others.
主题International Macroeconomics
关键词Disaggregate information Predictability Forecast model selection Var Factor models
URLhttps://cepr.org/publications/dp5477
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/534344
推荐引用方式
GB/T 7714
Joseph Francois,Julia Wörz. DP5477 Rags in the High Rent District: The Evolution of Quota Rents in Textiles and Clothing. 2006.
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