TREND-CYCLE DECOMPOSITION OF OUTPUT AND EURO AREA INFLATION FORECASTS: A REAL-TIME APPROACH BASED ON MODEL COMBINATION

被引:5
作者
Guerin, Pierre [1 ]
Maurin, Laurent [2 ]
Mohr, Matthias [2 ]
机构
[1] Bank Canada, Ottawa, ON K1A 0G9, Canada
[2] European Cent Bank, Frankfurt, Germany
关键词
Unobserved Components Model; Phillips Curve; Markov Switching; Inflation Forecast; ESTIMATING POTENTIAL OUTPUT; BUSINESS CYCLES; GAP; DYNAMICS; RELIABILITY; COMPONENTS; SERIES; POLICY; TESTS;
D O I
10.1017/S1365100513000461
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper estimates univariate and multivariate trend-cycle decomposition models of GDP and considers the novel possibility of regime switches in the growth of potential output. We compute both ex post and real-time estimates of the output gap to check the stability of our estimates to GDP data revisions. We find some evidence of regime changes in the growth of potential output during the recessions experienced by the euro area. We also run a forecasting experiment to evaluate the predictive power of the output gap for inflation. The benchmark autoregressive model tends to obtain the best forecasts for one-quarter-ahead forecasts, but the output gap measures help to forecast inflation for longer horizons.
引用
收藏
页码:363 / 393
页数:31
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