Macroeconomic forecasting in the Euro area: Country specific versus area-wide information

被引:162
|
作者
Marcellino, M
Stock, JH
Watson, MW [1 ]
机构
[1] Princeton Univ, Dept Econ, Princeton, NJ 08544 USA
[2] Princeton Univ, Woodrow Wilson Sch, Princeton, NJ 08544 USA
[3] CEPR, London, England
[4] NBER, Cambridge, MA 02138 USA
[5] Harvard Univ, John F Kennedy Sch Govt, Cambridge, MA 02138 USA
[6] Univ Bocconi, Ist Econ Polit, I-20136 Milan, Italy
[7] IGIER, I-20136 Milan, Italy
关键词
forecasting; aggregation; factor models;
D O I
10.1016/S0014-2921(02)00206-4
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper compares several time series methods for short-run forecasting of Euro-wide inflation and real activity using data from 1982 to 1997. Forecasts are constructed from univariate autoregressions, vector autoregressions, single equation models that include Euro-wide and US aggregates, and large-model methods in which forecasts are based on estimates of common dynamic factors. Aggregate Euro-wide forecasts are constructed from models that utilize only aggregate Euro-wide variables and by aggregating country-specific models. The,results suggest that forecasts constructed by aggregating the country-specific models are more accurate than forecasts constructed using the aggregate data. (C) 2002 Elsevier Science B.V. All rights reserved.
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页码:1 / 18
页数:18
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