首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Is forecasting with large models informative? Assessing the role of judgement in macroeconomic forecasts
Authors:Ricardo Mestre  Peter McAdam
Institution:Research Department, European Central Bank, Frankfurt am Main, Germany
Abstract:We evaluate residual projection strategies in the context of a large‐scale macro model of the euro area and smaller benchmark time‐series models. The exercises attempt to measure the accuracy of model‐based forecasts simulated both out‐of‐sample and in‐sample. Both exercises incorporate alternative residual‐projection methods, to assess the importance of unaccounted‐for breaks in forecast accuracy and off‐model judgement. Conclusions reached are that simple mechanical residual adjustments have a significant impact on forecasting accuracy irrespective of the model in use, likely due to the presence of breaks in trends in the data. The testing procedure and conclusions are applicable to a wide class of models and of general interest. Copyright © 2010 John Wiley & Sons, Ltd.
Keywords:macro model  forecast projections  out‐of‐sample  in‐sample  forecast accuracy  structural break  Economic Monetary Union
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号