G2TT
来源类型Discussion paper
规范类型论文
来源IDDP7560
DP7560 A Dynamic Quality Ladder Model with Entry and Exit: Exploring the Equilibrium Correspondence Using the Homotopy Method
Ulrich Doraszelski; Yaroslav Kryukov; Ron N. Borkovsky
发表日期2009-11-15
出版年2009
语种英语
摘要The aim of this paper is to assess whether explicitly modeling structural change increases the accuracy of macroeconomic forecasts. We produce real time out-of-sample forecasts for inflation, the unemployment rate and the interest rate using a Time-Varying Coefficients VAR with Stochastic Volatility (TV-VAR) for the US. The model generates accurate predictions for the three variables. In particular for inflation the TV-VAR outperforms, in terms of mean square forecast error, all the competing models: fixed coefficients VARs, Time-Varying ARs and the naïve random walk model. These results are also shown to hold over the most recent period in which it has been hard to forecast inflation.
主题International Macroeconomics
关键词Forecasting inflation stochastic volatility Time varying vector autoregression
URLhttps://cepr.org/publications/dp7560
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/536396
推荐引用方式
GB/T 7714
Ulrich Doraszelski,Yaroslav Kryukov,Ron N. Borkovsky. DP7560 A Dynamic Quality Ladder Model with Entry and Exit: Exploring the Equilibrium Correspondence Using the Homotopy Method. 2009.
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