G2TT
来源类型Discussion paper
规范类型论文
来源IDDP775
DP775 Diffusion of Technical Change and the Decomposition of Output into Trend and Cycle
Marco Lippi; Lucrezia Reichlin
发表日期1993-05-31
出版年1993
语种英语
摘要In this paper we argue that modelling the trend component in real GNP as a random walk is inconsistent with its interpretation as productivity growth. As an alternative we specify the trend as an Auto Regressive Integrated Moving Average (ARIMA) process, whose impulse response function follows an S-shaped pattern reflecting the process of diffusion of technical change. Such an ARIMA process is employed to build and estimate an Unobserved Components ARIMA (UCARIMA) model using USA post-war quarterly data. We find that our model, although more parsimonious, fits the data as well as the standard random walk plus AR(2) cycle. Moreover, the cycle has a very low variance relative to the variance of the trend in our model.
主题International Macroeconomics
关键词Non-stationarity Productivity growth Random walk
URLhttps://cepr.org/publications/dp775
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/529931
推荐引用方式
GB/T 7714
Marco Lippi,Lucrezia Reichlin. DP775 Diffusion of Technical Change and the Decomposition of Output into Trend and Cycle. 1993.
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