G2TT
来源类型Discussion paper
规范类型论文
来源IDDP4624
DP4624 Household Inequality, Welfare and the Setting of Trade Policy
Joseph Francois; Hugo Rojas-Romagosa
发表日期2004-09-23
出版年2004
语种英语
摘要This Paper provides a novel approach to forecasting time series subject to discrete structural breaks. We propose a Bayesian estimation and prediction procedure that allows for the possibility of new breaks over the forecast horizon, taking account of the size and duration of past breaks (if any) by means of a hierarchical hidden Markov chain model. Predictions are formed by integrating over the hyper parameters from the meta distributions that characterize the stochastic break point process. In an application to US Treasury bill rates, we find that the method leads to better out-of-sample forecasts than alternative methods that ignore breaks, particularly at long horizons.
主题Financial Economics
关键词Structural breaks Forecasting Hierarchical hidden markov chain model Bayesian model averaging
URLhttps://cepr.org/publications/dp4624
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/533544
推荐引用方式
GB/T 7714
Joseph Francois,Hugo Rojas-Romagosa. DP4624 Household Inequality, Welfare and the Setting of Trade Policy. 2004.
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