The macroeconomic and fiscal implications of inflation forecast errors

被引:4
作者
Dellas, Harris [1 ,2 ]
Gibson, Heather D. [2 ]
Hall, Stephen G. [2 ,3 ]
Tavlas, George S. [2 ,3 ]
机构
[1] Univ Bern, Bern, Switzerland
[2] Bank Greece, 21 E Venizelos Ave, GR-10250 Athens, Greece
[3] Univ Leicester, Leicester, Leics, England
关键词
Inflation forecasting; Nonlinear forecasts; Combining forecasts; Forecasting during structural change; STRUCTURAL-CHANGE; LINEAR-MODELS; TIME-SERIES; BREAKS; SELECTION; WINDOW;
D O I
10.1016/j.jedc.2018.01.030
中图分类号
F [经济];
学科分类号
02 ;
摘要
The accuracy of inflation forecasts has important implications for macroeconomic stability and real interest rates in economies with nominal rigidities. Erroneous forecasts destabilize output, undermine the conduct of monetary policy under inflation targeting and affect the cost of both short and long-term government borrowing. We propose a new method for forecasting inflation that combines individual forecasts using time-varying-coefficient estimation along with an alternative method based on neural nets. Its application to forecast data from the US and the euro area produces superior performance relative to the standard practice of using individual or linear combinations of individual forecasts, especially during periods marked by structural changes. (C) 2018 Elsevier B.V. All rights reserved.
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页码:203 / 217
页数:15
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