Diffusion of Technical Change and the Decomposition of Output into Trend and Cycle

Marco Lippi and Lucrezia Reichlin

No 775, CEPR Discussion Papers from Centre for Economic Policy Research

Abstract: 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.

Keywords: Non-Stationarity; Productivity Growth; Random Walk (search for similar items in EconPapers)
JEL-codes: E32 E37 O49 (search for similar items in EconPapers)
Date: 1993-05
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Citations: View citations in EconPapers (2)

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Journal Article: Diffusion of Technical Change and the Decomposition of Output into Trend and Cycle (1994)
Working Paper: Diffusion of technical change and the decomposition of output into trend and cycle (1994)
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