G2TT
来源类型Working Paper
规范类型报告
DOI10.3386/t0063
来源IDTechnical Working Paper 0063
Spurious Trend and Cycle in the State Space Decomposition of a Time Series with a Unit Root
Charles R. Nelson
发表日期1987-11-01
出版年1987
语种英语
摘要Recent research has proposed the state space (88) framework for decomposition of GNP and other economic time series into trend and cycle components, using the Kalman filter. This paper reviews the empirical evidence and suggests that the resulting decomposition may be spurious, just as detrending by linear regression is known to generate spurious trends and cycles in nonstationary time series. A Monte Carlo experiment confirms that when data is generated by a random walk, the 88 model tends to indicate (incorrectly) that the series consists of cyclical variations around a smooth trend. The improvement in fit over the true model will typically appear to be statistically significant. These results suggest that caution should be exercised in drawing inferences about the nature of economic processes from the 88 decomposition.
主题Econometrics
URLhttps://www.nber.org/papers/t0063
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/559680
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GB/T 7714
Charles R. Nelson. Spurious Trend and Cycle in the State Space Decomposition of a Time Series with a Unit Root. 1987.
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