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.
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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number
775.
Find related papers by JEL classification: E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation O49 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Other
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Boyan Jovanovic, 2004.
"Asymmetric Cycles,"
NBER Working Papers
10573, National Bureau of Economic Research, Inc.
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